Sample records for elsevier computer science

  1. Practical Measurement of Complexity In Dynamic Systems

    DTIC Science & Technology

    2012-01-01

    policies that produce highly complex behaviors , yet yield no benefit. 21Jason B. Clark and David R. Jacques / Procedia Computer Science 8 (2012) 14... Procedia Computer Science 8 (2012) 14 – 21 1877-0509 © 2012 Published by Elsevier B.V. doi:10.1016/j.procs.2012.01.008 Available online at...www.sciencedirect.com Procedia Computer Science Procedia Computer Science 00 (2012) 000–000 www.elsevier.com/locate/ procedia Available online at

  2. A Quantitative Model for Assessing Visual Simulation Software Architecture

    DTIC Science & Technology

    2011-09-01

    Software Engineering Arnold Buss Research Associate Professor of MOVES LtCol Jeff Boleng, PhD Associate Professor of Computer Science U.S. Air Force Academy... science (operating and programming systems series). New York, NY, USA: Elsevier Science Ltd. Henry, S., & Kafura, D. (1984). The evaluation of software...Rudy Darken Professor of Computer Science Dissertation Supervisor Ted Lewis Professor of Computer Science Richard Riehle Professor of Practice

  3. Effectiveness of Kanban Approaches in Systems Engineering within Rapid Response Environments

    DTIC Science & Technology

    2012-01-01

    Procedia Computer Science Procedia Computer Science 00 (2012) 000–000 www.elsevier.com/locate/ procedia New Challenges in Systems...Author name / Procedia Computer Science 00 (2011) 000–000 inefficient use of resources. The move from ―one step to glory‖ system initiatives to...University of Science and Technology Effectiveness of kanban approaches in systems engineering within rapid response environments Richard Turner

  4. Understanding System of Systems Development Using an Agent-Based Wave Model

    DTIC Science & Technology

    2012-01-01

    Procedia Computer Science Procedia Computer Science 00 (2012) 000–000 www.elsevier.com/locate/ procedia Complex Adaptive Systems...integration of technical systems as well as cognitive and social processes, which alter system behavior [6]. As mentioned before * Corresponding...Prescribed by ANSI Std Z39-18 Acheson/ Procedia Computer Science 00 (2012) 000–000 most system architects assume that SoS participants exhibit

  5. A Fuzzy Evaluation Method for System of Systems Meta-architectures

    DTIC Science & Technology

    2013-03-01

    Procedia Computer Science Procedia Computer Science 00 (2013) 000–000 www.elsevier.com/locate/ procedia Conference on Systems Engineering...boundary includes integration of technical systems as well as cognitive and social processes, which alter system behavior [2]. Most system architects...unclassified c. THIS PAGE unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 Pape/ Procedia Computer Science 00 (2013) 000

  6. BIOCOMPUTATION: some history and prospects.

    PubMed

    Cull, Paul

    2013-06-01

    At first glance, biology and computer science are diametrically opposed sciences. Biology deals with carbon based life forms shaped by evolution and natural selection. Computer Science deals with electronic machines designed by engineers and guided by mathematical algorithms. In this brief paper, we review biologically inspired computing. We discuss several models of computation which have arisen from various biological studies. We show what these have in common, and conjecture how biology can still suggest answers and models for the next generation of computing problems. We discuss computation and argue that these biologically inspired models do not extend the theoretical limits on computation. We suggest that, in practice, biological models may give more succinct representations of various problems, and we mention a few cases in which biological models have proved useful. We also discuss the reciprocal impact of computer science on biology and cite a few significant contributions to biological science. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  7. Cognitive Computational Neuroscience: A New Conference for an Emerging Discipline.

    PubMed

    Naselaris, Thomas; Bassett, Danielle S; Fletcher, Alyson K; Kording, Konrad; Kriegeskorte, Nikolaus; Nienborg, Hendrikje; Poldrack, Russell A; Shohamy, Daphna; Kay, Kendrick

    2018-05-01

    Understanding the computational principles that underlie complex behavior is a central goal in cognitive science, artificial intelligence, and neuroscience. In an attempt to unify these disconnected communities, we created a new conference called Cognitive Computational Neuroscience (CCN). The inaugural meeting revealed considerable enthusiasm but significant obstacles remain. Copyright © 2018 Elsevier Ltd. All rights reserved.

  8. An Enduring Dialogue between Computational and Empirical Vision.

    PubMed

    Martinez-Conde, Susana; Macknik, Stephen L; Heeger, David J

    2018-04-01

    In the late 1970s, key discoveries in neurophysiology, psychophysics, computer vision, and image processing had reached a tipping point that would shape visual science for decades to come. David Marr and Ellen Hildreth's 'Theory of edge detection', published in 1980, set out to integrate the newly available wealth of data from behavioral, physiological, and computational approaches in a unifying theory. Although their work had wide and enduring ramifications, their most important contribution may have been to consolidate the foundations of the ongoing dialogue between theoretical and empirical vision science. Copyright © 2018 Elsevier Ltd. All rights reserved.

  9. Let's Use Cognitive Science to Create Collaborative Workstations.

    PubMed

    Reicher, Murray A; Wolfe, Jeremy M

    2016-05-01

    When informed by an understanding of cognitive science, radiologists' workstations could become collaborative to improve radiologists' performance and job satisfaction. The authors review relevant literature and present several promising areas of research, including image toggling, eye tracking, cognitive computing, intelligently restricted messaging, work habit tracking, and innovative input devices. The authors call for more research in "perceptual design," a promising field that can complement advances in computer-aided detection. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  10. JAVA CLASSES FOR NONPROCEDURAL VARIOGRAM MONITORING. JOURNAL OF COMPUTERS AND GEOSCIENCE

    EPA Science Inventory

    NRMRL-ADA-00229 Faulkner*, B.P. Java Classes for Nonprocedural Variogram Monitoring. Journal of Computers and Geosciences ( Elsevier Science, Ltd.) 28:387-397 (2002). EPA/600/J-02/235. A set of Java classes was written for variogram modeling to support research for US EPA's Reg...

  11. Referees Often Miss Obvious Errors in Computer and Electronic Publications

    NASA Astrophysics Data System (ADS)

    de Gloucester, Paul Colin

    2013-05-01

    Misconduct is extensive and damaging. So-called science is prevalent. Articles resulting from so-called science are often cited in other publications. This can have damaging consequences for society and for science. The present work includes a scientometric study of 350 articles (published by the Association for Computing Machinery; Elsevier; The Institute of Electrical and Electronics Engineers, Inc.; John Wiley; Springer; Taylor & Francis; and World Scientific Publishing Co.). A lower bound of 85.4% articles are found to be incongruous. Authors cite inherently self-contradictory articles more than valid articles. Incorrect informational cascades ruin the literature's signal-to-noise ratio even for uncomplicated cases.

  12. Referees often miss obvious errors in computer and electronic publications.

    PubMed

    de Gloucester, Paul Colin

    2013-01-01

    Misconduct is extensive and damaging. So-called science is prevalent. Articles resulting from so-called science are often cited in other publications. This can have damaging consequences for society and for science. The present work includes a scientometric study of 350 articles (published by the Association for Computing Machinery; Elsevier; The Institute of Electrical and Electronics Engineers, Inc.; John Wiley; Springer; Taylor & Francis; and World Scientific Publishing Co.). A lower bound of 85.4% articles are found to be incongruous. Authors cite inherently self-contradictory articles more than valid articles. Incorrect informational cascades ruin the literature's signal-to-noise ratio even for uncomplicated cases.

  13. Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment.

    PubMed

    Harrigan, Robert L; Yvernault, Benjamin C; Boyd, Brian D; Damon, Stephen M; Gibney, Kyla David; Conrad, Benjamin N; Phillips, Nicholas S; Rogers, Baxter P; Gao, Yurui; Landman, Bennett A

    2016-01-01

    The Vanderbilt University Institute for Imaging Science (VUIIS) Center for Computational Imaging (CCI) has developed a database built on XNAT housing over a quarter of a million scans. The database provides framework for (1) rapid prototyping, (2) large scale batch processing of images and (3) scalable project management. The system uses the web-based interfaces of XNAT and REDCap to allow for graphical interaction. A python middleware layer, the Distributed Automation for XNAT (DAX) package, distributes computation across the Vanderbilt Advanced Computing Center for Research and Education high performance computing center. All software are made available in open source for use in combining portable batch scripting (PBS) grids and XNAT servers. Copyright © 2015 Elsevier Inc. All rights reserved.

  14. From cosmos to connectomes: the evolution of data-intensive science.

    PubMed

    Burns, Randal; Vogelstein, Joshua T; Szalay, Alexander S

    2014-09-17

    The analysis of data requires computation: originally by hand and more recently by computers. Different models of computing are designed and optimized for different kinds of data. In data-intensive science, the scale and complexity of data exceeds the comfort zone of local data stores on scientific workstations. Thus, cloud computing emerges as the preeminent model, utilizing data centers and high-performance clusters, enabling remote users to access and query subsets of the data efficiently. We examine how data-intensive computational systems originally built for cosmology, the Sloan Digital Sky Survey (SDSS), are now being used in connectomics, at the Open Connectome Project. We list lessons learned and outline the top challenges we expect to face. Success in computational connectomics would drastically reduce the time between idea and discovery, as SDSS did in cosmology. Copyright © 2014 Elsevier Inc. All rights reserved.

  15. Remarks on neurocybernetics and its links to computing science. To the memory of Prof. Luigi M. Ricciardi.

    PubMed

    Moreno-Díaz, Roberto; Moreno-Díaz, Arminda

    2013-06-01

    This paper explores the origins and content of neurocybernetics and its links to artificial intelligence, computer science and knowledge engineering. Starting with three remarkable pieces of work, we center attention on a number of events that initiated and developed basic topics that are still nowadays a matter of research and inquire, from goal directed activity theories to circular causality and to reverberations and learning. Within this context, we pay tribute to the memory of Prof. Ricciardi documenting the importance of his contributions in the mathematics of brain, neural nets and neurophysiological models, computational simulations and techniques. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  16. Addressing the Digital Divide in Contemporary Biology: Lessons from Teaching UNIX.

    PubMed

    Mangul, Serghei; Martin, Lana S; Hoffmann, Alexander; Pellegrini, Matteo; Eskin, Eleazar

    2017-10-01

    Life and medical science researchers increasingly rely on applications that lack a graphical interface. Scientists who are not trained in computer science face an enormous challenge analyzing high-throughput data. We present a training model for use of command-line tools when the learner has little to no prior knowledge of UNIX. Copyright © 2017 Elsevier Ltd. All rights reserved.

  17. Affordability Tradeoffs Under Uncertainty Using Epoch-Era Analysis

    DTIC Science & Technology

    2013-09-30

    Procedia Computer Science , Retrieved from: http://www.elsevier.com Bobinis, J., Haimowitz, J., Tuttle, P., & Garrison, C. (2012, October). Affordability...commercial products. Dr. Rhodes received her PhD in Systems Science from the T.J. Watson School of Engineering at Binghamton University. She serves on...components, evaluate feedback, and be adaptive to evolving system behaviors . As affordability is a concept evaluated over time, such a method can

  18. The information science of microbial ecology.

    PubMed

    Hahn, Aria S; Konwar, Kishori M; Louca, Stilianos; Hanson, Niels W; Hallam, Steven J

    2016-06-01

    A revolution is unfolding in microbial ecology where petabytes of 'multi-omics' data are produced using next generation sequencing and mass spectrometry platforms. This cornucopia of biological information has enormous potential to reveal the hidden metabolic powers of microbial communities in natural and engineered ecosystems. However, to realize this potential, the development of new technologies and interpretative frameworks grounded in ecological design principles are needed to overcome computational and analytical bottlenecks. Here we explore the relationship between microbial ecology and information science in the era of cloud-based computation. We consider microorganisms as individual information processing units implementing a distributed metabolic algorithm and describe developments in ecoinformatics and ubiquitous computing with the potential to eliminate bottlenecks and empower knowledge creation and translation. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  19. Cumulative Reports and Publications through December 31, 1989 (Institute for Computer Applications in Science and Engineering)

    DTIC Science & Technology

    1990-05-01

    Research is conducted primarily by visiting scientists from universities and industry who have resident appointments for limited periods of time , and...Elsevier Science Publishers B. V. (North-holland), IFIP, 1989. Crowley, Kay, Joel Saltz, Ravi Mirchandaney, and Harry Berryman: Run- time scheduling...Inverse problem techniques for beams with tip body and time hysteresis camping. ICASE Report No. 89-22, April 18, 1989. 24 pages. To appear in

  20. Data science for mental health: a UK perspective on a global challenge.

    PubMed

    McIntosh, Andrew M; Stewart, Robert; John, Ann; Smith, Daniel J; Davis, Katrina; Sudlow, Cathie; Corvin, Aiden; Nicodemus, Kristin K; Kingdon, David; Hassan, Lamiece; Hotopf, Matthew; Lawrie, Stephen M; Russ, Tom C; Geddes, John R; Wolpert, Miranda; Wölbert, Eva; Porteous, David J

    2016-10-01

    Data science uses computer science and statistics to extract new knowledge from high-dimensional datasets (ie, those with many different variables and data types). Mental health research, diagnosis, and treatment could benefit from data science that uses cohort studies, genomics, and routine health-care and administrative data. The UK is well placed to trial these approaches through robust NHS-linked data science projects, such as the UK Biobank, Generation Scotland, and the Clinical Record Interactive Search (CRIS) programme. Data science has great potential as a low-cost, high-return catalyst for improved mental health recognition, understanding, support, and outcomes. Lessons learnt from such studies could have global implications. Copyright © 2016 Elsevier Ltd. All rights reserved.

  1. A policy for science.

    PubMed

    Lauer, Michael S

    2012-06-12

    Policy and science often interact. Typically, we think of policymakers looking to scientists for advice on issues informed by science. We may appreciate less the opposite look: where people outside science inform policies that affect the conduct of science. In clinical medicine, we are forced to make decisions about practices for which there is insufficient, inadequate evidence to know whether they improve clinical outcomes, yet the health care system may not be structured to rapidly generate needed evidence. For example, when the Centers for Medicare and Medicaid Services noted insufficient evidence to support routine use of computed tomography angiography and they called for a national commitment to completion of randomized trials, their call ran into substantial opposition. I use the computed tomography angiography story to illustrate how we might consider a "policy for science" in which stakeholders would band together to identify evidence gaps and to use their influence to promote the efficient design, implementation, and completion of high-quality randomized trials. Such a policy for science could create a culture that incentivizes and invigorates the rapid generation of evidence, ultimately engaging all clinicians, all patients, and indeed all stakeholders into the scientific enterprise. Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  2. Opportunities and challenges of big data for the social sciences: The case of genomic data.

    PubMed

    Liu, Hexuan; Guo, Guang

    2016-09-01

    In this paper, we draw attention to one unique and valuable source of big data, genomic data, by demonstrating the opportunities they provide to social scientists. We discuss different types of large-scale genomic data and recent advances in statistical methods and computational infrastructure used to address challenges in managing and analyzing such data. We highlight how these data and methods can be used to benefit social science research. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. Machine learning for Big Data analytics in plants.

    PubMed

    Ma, Chuang; Zhang, Hao Helen; Wang, Xiangfeng

    2014-12-01

    Rapid advances in high-throughput genomic technology have enabled biology to enter the era of 'Big Data' (large datasets). The plant science community not only needs to build its own Big-Data-compatible parallel computing and data management infrastructures, but also to seek novel analytical paradigms to extract information from the overwhelming amounts of data. Machine learning offers promising computational and analytical solutions for the integrative analysis of large, heterogeneous and unstructured datasets on the Big-Data scale, and is gradually gaining popularity in biology. This review introduces the basic concepts and procedures of machine-learning applications and envisages how machine learning could interface with Big Data technology to facilitate basic research and biotechnology in the plant sciences. Copyright © 2014 Elsevier Ltd. All rights reserved.

  4. The computationalist reformulation of the mind-body problem.

    PubMed

    Marchal, Bruno

    2013-09-01

    Computationalism, or digital mechanism, or simply mechanism, is a hypothesis in the cognitive science according to which we can be emulated by a computer without changing our private subjective feeling. We provide a weaker form of that hypothesis, weaker than the one commonly referred to in the (vast) literature and show how to recast the mind-body problem in that setting. We show that such a mechanist hypothesis does not solve the mind-body problem per se, but does help to reduce partially the mind-body problem into another problem which admits a formulation in pure arithmetic. We will explain that once we adopt the computationalist hypothesis, which is a form of mechanist assumption, we have to derive from it how our belief in the physical laws can emerge from *only* arithmetic and classical computer science. In that sense we reduce the mind-body problem to a body problem appearance in computer science, or in arithmetic. The general shape of the possible solution of that subproblem, if it exists, is shown to be closer to "Platonist or neoplatonist theology" than to the "Aristotelian theology". In Plato's theology, the physical or observable reality is only the shadow of a vaster hidden nonphysical and nonobservable, perhaps mathematical, reality. The main point is that the derivation is constructive, and it provides the technical means to derive physics from arithmetic, and this will make the computationalist hypothesis empirically testable, and thus scientific in the Popperian analysis of science. In case computationalism is wrong, the derivation leads to a procedure for measuring "our local degree of noncomputationalism". Copyright © 2013 Elsevier Ltd. All rights reserved.

  5. Parallel Distributed Processing Theory in the Age of Deep Networks.

    PubMed

    Bowers, Jeffrey S

    2017-12-01

    Parallel distributed processing (PDP) models in psychology are the precursors of deep networks used in computer science. However, only PDP models are associated with two core psychological claims, namely that all knowledge is coded in a distributed format and cognition is mediated by non-symbolic computations. These claims have long been debated in cognitive science, and recent work with deep networks speaks to this debate. Specifically, single-unit recordings show that deep networks learn units that respond selectively to meaningful categories, and researchers are finding that deep networks need to be supplemented with symbolic systems to perform some tasks. Given the close links between PDP and deep networks, it is surprising that research with deep networks is challenging PDP theory. Copyright © 2017. Published by Elsevier Ltd.

  6. Know Your Discipline: Teaching the Philosophy of Computer Science

    ERIC Educational Resources Information Center

    Tedre, Matti

    2007-01-01

    The diversity and interdisciplinarity of computer science and the multiplicity of its uses in other sciences make it hard to define computer science and to prescribe how computer science should be carried out. The diversity of computer science also causes friction between computer scientists from different branches. Computer science curricula, as…

  7. A computational approach to estimate postmortem interval using opacity development of eye for human subjects.

    PubMed

    Cantürk, İsmail; Özyılmaz, Lale

    2018-07-01

    This paper presents an approach to postmortem interval (PMI) estimation, which is a very debated and complicated area of forensic science. Most of the reported methods to determine PMI in the literature are not practical because of the need for skilled persons and significant amounts of time, and give unsatisfactory results. Additionally, the error margin of PMI estimation increases proportionally with elapsed time after death. It is crucial to develop practical PMI estimation methods for forensic science. In this study, a computational system is developed to determine the PMI of human subjects by investigating postmortem opacity development of the eye. Relevant features from the eye images were extracted using image processing techniques to reflect gradual opacity development. The features were then investigated to predict the time after death using machine learning methods. The experimental results prove that the development of opacity can be utilized as a practical computational tool to determine PMI for human subjects. Copyright © 2018 Elsevier Ltd. All rights reserved.

  8. Information visualisation for science and policy: engaging users and avoiding bias.

    PubMed

    McInerny, Greg J; Chen, Min; Freeman, Robin; Gavaghan, David; Meyer, Miriah; Rowland, Francis; Spiegelhalter, David J; Stefaner, Moritz; Tessarolo, Geizi; Hortal, Joaquin

    2014-03-01

    Visualisations and graphics are fundamental to studying complex subject matter. However, beyond acknowledging this value, scientists and science-policy programmes rarely consider how visualisations can enable discovery, create engaging and robust reporting, or support online resources. Producing accessible and unbiased visualisations from complicated, uncertain data requires expertise and knowledge from science, policy, computing, and design. However, visualisation is rarely found in our scientific training, organisations, or collaborations. As new policy programmes develop [e.g., the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES)], we need information visualisation to permeate increasingly both the work of scientists and science policy. The alternative is increased potential for missed discoveries, miscommunications, and, at worst, creating a bias towards the research that is easiest to display. Copyright © 2014 Elsevier Ltd. All rights reserved.

  9. Cellular intelligence: Microphenomenology and the realities of being.

    PubMed

    Ford, Brian J

    2017-12-01

    Traditions of Eastern thought conceptualised life in a holistic sense, emphasising the processes of maintaining health and conquering sickness as manifestations of an essentially spiritual principle that was of overriding importance in the conduct of living. Western science, which drove the overriding and partial eclipse of Eastern traditions, became founded on a reductionist quest for ultimate realities which, in the modern scientific world, has embraced the notion that every living process can be successfully modelled by a digital computer system. It is argued here that the essential processes of cognition, response and decision-making inherent in living cells transcend conventional modelling, and microscopic studies of organisms like the shell-building amoebae and the rhodophyte alga Antithamnion reveal a level of cellular intelligence that is unrecognized by science and is not amenable to computer analysis. Copyright © 2017. Published by Elsevier Ltd.

  10. Factors influencing exemplary science teachers' levels of computer use

    NASA Astrophysics Data System (ADS)

    Hakverdi, Meral

    This study examines exemplary science teachers' use of technology in science instruction, factors influencing their level of computer use, their level of knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, and their students' use of computer applications/tools in or for their science class. After a relevant review of the literature certain variables were selected for analysis. These variables included personal self-efficacy in teaching with computers, outcome expectancy, pupil-control ideology, level of computer use, age, gender, teaching experience, personal computer use, professional computer use and science teachers' level of knowledge/skills in using specific computer applications for science instruction. The sample for this study includes middle and high school science teachers who received the Presidential Award for Excellence in Science Teaching Award (sponsored by the White House and the National Science Foundation) between the years 1997 and 2003 from all 50 states and U.S. territories. Award-winning science teachers were contacted about the survey via e-mail or letter with an enclosed return envelope. Of the 334 award-winning science teachers, usable responses were received from 92 science teachers, which made a response rate of 27.5%. Analysis of the survey responses indicated that exemplary science teachers have a variety of knowledge/skills in using computer related applications/tools. The most commonly used computer applications/tools are information retrieval via the Internet, presentation tools, online communication, digital cameras, and data collection probes. Results of the study revealed that students' use of technology in their science classroom is highly correlated with the frequency of their science teachers' use of computer applications/tools. The results of the multiple regression analysis revealed that personal self-efficacy related to the exemplary science teachers' level of computer use suggesting that computer use is dependent on perceived abilities at using computers. The teachers' use of computer-related applications/tools during class, and their personal self-efficacy, age, and gender are highly related with their level of knowledge/skills in using specific computer applications for science instruction. The teachers' level of knowledge/skills in using specific computer applications for science instruction and gender related to their use of computer-related applications/tools during class and the students' use of computer-related applications/tools in or for their science class. In conclusion, exemplary science teachers need assistance in learning and using computer-related applications/tool in their science class.

  11. Single-Cell Genomics: Approaches and Utility in Immunology.

    PubMed

    Neu, Karlynn E; Tang, Qingming; Wilson, Patrick C; Khan, Aly A

    2017-02-01

    Single-cell genomics offers powerful tools for studying immune cells, which make it possible to observe rare and intermediate cell states that cannot be resolved at the population level. Advances in computer science and single-cell sequencing technology have created a data-driven revolution in immunology. The challenge for immunologists is to harness computing and turn an avalanche of quantitative data into meaningful discovery of immunological principles, predictive models, and strategies for therapeutics. Here, we review the current literature on computational analysis of single-cell RNA-sequencing data and discuss underlying assumptions, methods, and applications in immunology, and highlight important directions for future research. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. A new parallel DNA algorithm to solve the task scheduling problem based on inspired computational model.

    PubMed

    Wang, Zhaocai; Ji, Zuwen; Wang, Xiaoming; Wu, Tunhua; Huang, Wei

    2017-12-01

    As a promising approach to solve the computationally intractable problem, the method based on DNA computing is an emerging research area including mathematics, computer science and molecular biology. The task scheduling problem, as a well-known NP-complete problem, arranges n jobs to m individuals and finds the minimum execution time of last finished individual. In this paper, we use a biologically inspired computational model and describe a new parallel algorithm to solve the task scheduling problem by basic DNA molecular operations. In turn, we skillfully design flexible length DNA strands to represent elements of the allocation matrix, take appropriate biological experiment operations and get solutions of the task scheduling problem in proper length range with less than O(n 2 ) time complexity. Copyright © 2017. Published by Elsevier B.V.

  13. Reflections on Heckman and Pinto’s Causal Analysis After Haavelmo

    DTIC Science & Technology

    2013-11-01

    Econometric Analysis , Cambridge University Press, 477–490, 1995. Halpern, J. (1998). Axiomatizing causal reasoning. In Uncertainty in Artificial...Models, Structural Models and Econometric Policy Evaluation. Elsevier B.V., Amsterdam, 4779–4874. Heckman, J. J. (1979). Sample selection bias as a...Reflections on Heckman and Pinto’s “Causal Analysis After Haavelmo” Judea Pearl University of California, Los Angeles Computer Science Department Los

  14. Gender differences in the use of computers, programming, and peer interactions in computer science classrooms

    NASA Astrophysics Data System (ADS)

    Stoilescu, Dorian; Egodawatte, Gunawardena

    2010-12-01

    Research shows that female and male students in undergraduate computer science programs view computer culture differently. Female students are interested more in the use of computers than in doing programming, whereas male students see computer science mainly as a programming activity. The overall purpose of our research was not to find new definitions for computer science culture but to see how male and female students see themselves involved in computer science practices, how they see computer science as a successful career, and what they like and dislike about current computer science practices. The study took place in a mid-sized university in Ontario. Sixteen students and two instructors were interviewed to get their views. We found that male and female views are different on computer use, programming, and the pattern of student interactions. Female and male students did not have any major issues in using computers. In computing programming, female students were not so involved in computing activities whereas male students were heavily involved. As for the opinions about successful computer science professionals, both female and male students emphasized hard working, detailed oriented approaches, and enjoying playing with computers. The myth of the geek as a typical profile of successful computer science students was not found to be true.

  15. Exploring the Relationships between Self-Efficacy and Preference for Teacher Authority among Computer Science Majors

    ERIC Educational Resources Information Center

    Lin, Che-Li; Liang, Jyh-Chong; Su, Yi-Ching; Tsai, Chin-Chung

    2013-01-01

    Teacher-centered instruction has been widely adopted in college computer science classrooms and has some benefits in training computer science undergraduates. Meanwhile, student-centered contexts have been advocated to promote computer science education. How computer science learners respond to or prefer the two types of teacher authority,…

  16. Academic computer science and gender: A naturalistic study investigating the causes of attrition

    NASA Astrophysics Data System (ADS)

    Declue, Timothy Hall

    Far fewer women than men take computer science classes in high school, enroll in computer science programs in college, or complete advanced degrees in computer science. The computer science pipeline begins to shrink for women even before entering college, but it is at the college level that the "brain drain" is the most evident numerically, especially in the first class taken by most computer science majors called "Computer Science 1" or CS-I. The result, for both academia and industry, is a pronounced technological gender disparity in academic and industrial computer science. The study revealed the existence of several factors influencing success in CS-I. First, and most clearly, the effect of attribution processes seemed to be quite strong. These processes tend to work against success for females and in favor of success for males. Likewise, evidence was discovered which strengthens theories related to prior experience and the perception that computer science has a culture which is hostile to females. Two unanticipated themes related to the motivation and persistence of successful computer science majors. The findings did not support the belief that females have greater logistical problems in computer science than males, or that females tend to have a different programming style than males which adversely affects the females' ability to succeed in CS-I.

  17. Microbiome Tools for Forensic Science.

    PubMed

    Metcalf, Jessica L; Xu, Zhenjiang Z; Bouslimani, Amina; Dorrestein, Pieter; Carter, David O; Knight, Rob

    2017-09-01

    Microbes are present at every crime scene and have been used as physical evidence for over a century. Advances in DNA sequencing and computational approaches have led to recent breakthroughs in the use of microbiome approaches for forensic science, particularly in the areas of estimating postmortem intervals (PMIs), locating clandestine graves, and obtaining soil and skin trace evidence. Low-cost, high-throughput technologies allow us to accumulate molecular data quickly and to apply sophisticated machine-learning algorithms, building generalizable predictive models that will be useful in the criminal justice system. In particular, integrating microbiome and metabolomic data has excellent potential to advance microbial forensics. Copyright © 2017. Published by Elsevier Ltd.

  18. Computer-Game Construction: A Gender-Neutral Attractor to Computing Science

    ERIC Educational Resources Information Center

    Carbonaro, Mike; Szafron, Duane; Cutumisu, Maria; Schaeffer, Jonathan

    2010-01-01

    Enrollment in Computing Science university programs is at a dangerously low level. A major reason for this is the general lack of interest in Computing Science by females. In this paper, we discuss our experience with using a computer game construction environment as a vehicle to encourage female participation in Computing Science. Experiments…

  19. [On the extinction of populations with several types in a random environment].

    PubMed

    Bacaër, Nicolas

    2018-03-01

    This study focuses on the extinction rate of a population that follows a continuous-time multi-type branching process in a random environment. Numerical computations in a particular example inspired by an epidemic model suggest an explicit formula for this extinction rate, but only for certain parameter values. Copyright © 2018 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved.

  20. Central Computer Science Concepts to Research-Based Teacher Training in Computer Science: An Experimental Study

    ERIC Educational Resources Information Center

    Zendler, Andreas; Klaudt, Dieter

    2012-01-01

    The significance of computer science for economics and society is undisputed. In particular, computer science is acknowledged to play a key role in schools (e.g., by opening multiple career paths). The provision of effective computer science education in schools is dependent on teachers who are able to properly represent the discipline and whose…

  1. Using spatial principles to optimize distributed computing for enabling the physical science discoveries

    PubMed Central

    Yang, Chaowei; Wu, Huayi; Huang, Qunying; Li, Zhenlong; Li, Jing

    2011-01-01

    Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations of physical phenomena. Single computers and generic high-end computing are not sufficient to process the data for complex physical science analysis and simulations, which can be successfully supported only through distributed computing, best optimized through the application of spatial principles. Spatial computing, the computing aspect of a spatial cyberinfrastructure, refers to a computing paradigm that utilizes spatial principles to optimize distributed computers to catalyze advancements in the physical sciences. Spatial principles govern the interactions between scientific parameters across space and time by providing the spatial connections and constraints to drive the progression of the phenomena. Therefore, spatial computing studies could better position us to leverage spatial principles in simulating physical phenomena and, by extension, advance the physical sciences. Using geospatial science as an example, this paper illustrates through three research examples how spatial computing could (i) enable data intensive science with efficient data/services search, access, and utilization, (ii) facilitate physical science studies with enabling high-performance computing capabilities, and (iii) empower scientists with multidimensional visualization tools to understand observations and simulations. The research examples demonstrate that spatial computing is of critical importance to design computing methods to catalyze physical science studies with better data access, phenomena simulation, and analytical visualization. We envision that spatial computing will become a core technology that drives fundamental physical science advancements in the 21st century. PMID:21444779

  2. Using spatial principles to optimize distributed computing for enabling the physical science discoveries.

    PubMed

    Yang, Chaowei; Wu, Huayi; Huang, Qunying; Li, Zhenlong; Li, Jing

    2011-04-05

    Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations of physical phenomena. Single computers and generic high-end computing are not sufficient to process the data for complex physical science analysis and simulations, which can be successfully supported only through distributed computing, best optimized through the application of spatial principles. Spatial computing, the computing aspect of a spatial cyberinfrastructure, refers to a computing paradigm that utilizes spatial principles to optimize distributed computers to catalyze advancements in the physical sciences. Spatial principles govern the interactions between scientific parameters across space and time by providing the spatial connections and constraints to drive the progression of the phenomena. Therefore, spatial computing studies could better position us to leverage spatial principles in simulating physical phenomena and, by extension, advance the physical sciences. Using geospatial science as an example, this paper illustrates through three research examples how spatial computing could (i) enable data intensive science with efficient data/services search, access, and utilization, (ii) facilitate physical science studies with enabling high-performance computing capabilities, and (iii) empower scientists with multidimensional visualization tools to understand observations and simulations. The research examples demonstrate that spatial computing is of critical importance to design computing methods to catalyze physical science studies with better data access, phenomena simulation, and analytical visualization. We envision that spatial computing will become a core technology that drives fundamental physical science advancements in the 21st century.

  3. Gait biomechanics in the era of data science.

    PubMed

    Ferber, Reed; Osis, Sean T; Hicks, Jennifer L; Delp, Scott L

    2016-12-08

    Data science has transformed fields such as computer vision and economics. The ability of modern data science methods to extract insights from large, complex, heterogeneous, and noisy datasets is beginning to provide a powerful complement to the traditional approaches of experimental motion capture and biomechanical modeling. The purpose of this article is to provide a perspective on how data science methods can be incorporated into our field to advance our understanding of gait biomechanics and improve treatment planning procedures. We provide examples of how data science approaches have been applied to biomechanical data. We then discuss the challenges that remain for effectively using data science approaches in clinical gait analysis and gait biomechanics research, including the need for new tools, better infrastructure and incentives for sharing data, and education across the disciplines of biomechanics and data science. By addressing these challenges, we can revolutionize treatment planning and biomechanics research by capitalizing on the wealth of knowledge gained by gait researchers over the past decades and the vast, but often siloed, data that are collected in clinical and research laboratories around the world. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. A Financial Technology Entrepreneurship Program for Computer Science Students

    ERIC Educational Resources Information Center

    Lawler, James P.; Joseph, Anthony

    2011-01-01

    Education in entrepreneurship is becoming a critical area of curricula for computer science students. Few schools of computer science have a concentration in entrepreneurship in the computing curricula. The paper presents Technology Entrepreneurship in the curricula at a leading school of computer science and information systems, in which students…

  5. Computer Science Teacher Professional Development in the United States: A Review of Studies Published between 2004 and 2014

    ERIC Educational Resources Information Center

    Menekse, Muhsin

    2015-01-01

    While there has been a remarkable interest to make computer science a core K-12 academic subject in the United States, there is a shortage of K-12 computer science teachers to successfully implement computer sciences courses in schools. In order to enhance computer science teacher capacity, training programs have been offered through teacher…

  6. [Standards in Medical Informatics: Fundamentals and Applications].

    PubMed

    Suárez-Obando, Fernando; Camacho Sánchez, Jhon

    2013-09-01

    The use of computers in medical practice has enabled novel forms of communication to be developed in health care. The optimization of communication processes is achieved through the use of standards to harmonize the exchange of information and provide a common language for all those involved. This article describes the concept of a standard applied to medical informatics and its importance in the development of various applications, such as computational representation of medical knowledge, disease classification and coding systems, medical literature searches and integration of biological and clinical sciences. Copyright © 2013 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

  7. Computer Science | Classification | College of Engineering & Applied

    Science.gov Websites

    EMS 1011 profile photo Adrian Dumitrescu, Ph.D.ProfessorComputer Science(414) 229-4265Eng & Math @uwm.eduEng & Math Sciences 919 profile photo Hossein Hosseini, Ph.D.ProfessorComputer Science(414) 229 -5184hosseini@uwm.eduEng & Math Sciences 1091 profile photo Amol Mali, Ph.D.Associate ProfessorComputer

  8. Computers in Science Education: Can They Go Far Enough? Have We Gone Too Far?

    ERIC Educational Resources Information Center

    Schrock, John Richard

    1984-01-01

    Indicates that although computers may churn out creative research, science is still dependent on science education, and that science education consists of increasing human experience. Also considers uses and misuses of computers in the science classroom, examining Edgar Dale's "cone of experience" related to laboratory computer and "extended…

  9. Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period April, 1986 through September 30, 1986 is summarized.

  10. 78 FR 10180 - Annual Computational Science Symposium; Conference

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-13

    ...] Annual Computational Science Symposium; Conference AGENCY: Food and Drug Administration, HHS. ACTION... Computational Science Symposium.'' The purpose of the conference is to help the broader community align and share experiences to advance computational science. At the conference, which will bring together FDA...

  11. DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hules, John

    This 1998 annual report from the National Scientific Energy Research Computing Center (NERSC) presents the year in review of the following categories: Computational Science; Computer Science and Applied Mathematics; and Systems and Services. Also presented are science highlights in the following categories: Basic Energy Sciences; Biological and Environmental Research; Fusion Energy Sciences; High Energy and Nuclear Physics; and Advanced Scientific Computing Research and Other Projects.

  12. Negotiating the Traffic: Can Cognitive Science Help Make Autonomous Vehicles a Reality?

    PubMed

    Chater, Nick; Misyak, Jennifer; Watson, Derrick; Griffiths, Nathan; Mouzakitis, Alex

    2018-02-01

    To drive safely among human drivers, cyclists and pedestrians, autonomous vehicles will need to mimic, or ideally improve upon, humanlike driving. Yet, driving presents us with difficult problems of joint action: 'negotiating' with other users over shared road space. We argue that autonomous driving provides a test case for computational theories of social interaction, with fundamental implications for the development of autonomous vehicles. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Enduring Influence of Stereotypical Computer Science Role Models on Women's Academic Aspirations

    ERIC Educational Resources Information Center

    Cheryan, Sapna; Drury, Benjamin J.; Vichayapai, Marissa

    2013-01-01

    The current work examines whether a brief exposure to a computer science role model who fits stereotypes of computer scientists has a lasting influence on women's interest in the field. One-hundred undergraduate women who were not computer science majors met a female or male peer role model who embodied computer science stereotypes in appearance…

  14. A Web of Resources for Introductory Computer Science.

    ERIC Educational Resources Information Center

    Rebelsky, Samuel A.

    As the field of Computer Science has grown, the syllabus of the introductory Computer Science course has changed significantly. No longer is it a simple introduction to programming or a tutorial on computer concepts and applications. Rather, it has become a survey of the field of Computer Science, touching on a wide variety of topics from digital…

  15. Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

    NASA Technical Reports Server (NTRS)

    1988-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period April l, 1988 through September 30, 1988.

  16. Summary of research in applied mathematics, numerical analysis and computer science at the Institute for Computer Applications in Science and Engineering

    NASA Technical Reports Server (NTRS)

    1984-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science during the period October 1, 1983 through March 31, 1984 is summarized.

  17. Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period October 1, 1986 through March 31, 1987 is summarized.

  18. High school computer science education paves the way for higher education: the Israeli case

    NASA Astrophysics Data System (ADS)

    Armoni, Michal; Gal-Ezer, Judith

    2014-07-01

    The gap between enrollments in higher education computing programs and the high-tech industry's demands is widely reported, and is especially prominent for women. Increasing the availability of computer science education in high school is one of the strategies suggested in order to address this gap. We look at the connection between exposure to computer science in high school and pursuing computing in higher education. We also examine the gender gap, in the context of high school computer science education. We show that in Israel, students who took the high-level computer science matriculation exam were more likely to pursue computing in higher education. Regarding the issue of gender, we will show that, in general, in Israel the difference between males and females who take computer science in high school is relatively small, and a larger, though still not very large difference exists only for the highest exam level. In addition, exposing females to high-level computer science in high school has more relative impact on pursuing higher education in computing.

  19. Defining Computational Thinking for Mathematics and Science Classrooms

    NASA Astrophysics Data System (ADS)

    Weintrop, David; Beheshti, Elham; Horn, Michael; Orton, Kai; Jona, Kemi; Trouille, Laura; Wilensky, Uri

    2016-02-01

    Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include "computational thinking" as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new urgency has come to the challenge of defining computational thinking and providing a theoretical grounding for what form it should take in school science and mathematics classrooms. This paper presents a response to this challenge by proposing a definition of computational thinking for mathematics and science in the form of a taxonomy consisting of four main categories: data practices, modeling and simulation practices, computational problem solving practices, and systems thinking practices. In formulating this taxonomy, we draw on the existing computational thinking literature, interviews with mathematicians and scientists, and exemplary computational thinking instructional materials. This work was undertaken as part of a larger effort to infuse computational thinking into high school science and mathematics curricular materials. In this paper, we argue for the approach of embedding computational thinking in mathematics and science contexts, present the taxonomy, and discuss how we envision the taxonomy being used to bring current educational efforts in line with the increasingly computational nature of modern science and mathematics.

  20. Advances in free-energy-based simulations of protein folding and ligand binding.

    PubMed

    Perez, Alberto; Morrone, Joseph A; Simmerling, Carlos; Dill, Ken A

    2016-02-01

    Free-energy-based simulations are increasingly providing the narratives about the structures, dynamics and biological mechanisms that constitute the fabric of protein science. Here, we review two recent successes. It is becoming practical: first, to fold small proteins with free-energy methods without knowing substructures and second, to compute ligand-protein binding affinities, not just their binding poses. Over the past 40 years, the timescales that can be simulated by atomistic MD are doubling every 1.3 years--which is faster than Moore's law. Thus, these advances are not simply due to the availability of faster computers. Force fields, solvation models and simulation methodology have kept pace with computing advancements, and are now quite good. At the tip of the spear recently are GPU-based computing, improved fast-solvation methods, continued advances in force fields, and conformational sampling methods that harness external information. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. Nicholas Brunhart-Lupo | NREL

    Science.gov Websites

    . Education Ph.D., Computer Science, Colorado School of Mines M.S., Computer Science, University of Queensland B.S., Computer Science, Colorado School of Mines Brunhart-Lupo Nicholas Brunhart-Lupo Computational Science Nicholas.Brunhart-Lupo@nrel.gov

  2. The Need for Computer Science

    ERIC Educational Resources Information Center

    Margolis, Jane; Goode, Joanna; Bernier, David

    2011-01-01

    Broadening computer science learning to include more students is a crucial item on the United States' education agenda, these authors say. Although policymakers advocate more computer science expertise, computer science offerings in high schools are few--and actually shrinking. In addition, poorly resourced schools with a high percentage of…

  3. Summary of research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

    NASA Technical Reports Server (NTRS)

    1989-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period October 1, 1988 through March 31, 1989 is summarized.

  4. Alliance for Computational Science Collaboration HBCU Partnership at Fisk University. Final Report 2001

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Collins, W. E.

    2004-08-16

    Computational Science plays a big role in research and development in mathematics, science, engineering and biomedical disciplines. The Alliance for Computational Science Collaboration (ACSC) has the goal of training African-American and other minority scientists in the computational science field for eventual employment with the Department of Energy (DOE). The involvements of Historically Black Colleges and Universities (HBCU) in the Alliance provide avenues for producing future DOE African-American scientists. Fisk University has been participating in this program through grants from the DOE. The DOE grant supported computational science activities at Fisk University. The research areas included energy related projects, distributed computing,more » visualization of scientific systems and biomedical computing. Students' involvement in computational science research included undergraduate summer research at Oak Ridge National Lab, on-campus research involving the participation of undergraduates, participation of undergraduate and faculty members in workshops, and mentoring of students. These activities enhanced research and education in computational science, thereby adding to Fisk University's spectrum of research and educational capabilities. Among the successes of the computational science activities are the acceptance of three undergraduate students to graduate schools with full scholarships beginning fall 2002 (one for master degree program and two for Doctoral degree program).« less

  5. Curricular Influences on Female Afterschool Facilitators' Computer Science Interests and Career Choices

    NASA Astrophysics Data System (ADS)

    Koch, Melissa; Gorges, Torie

    2016-10-01

    Underrepresented populations such as women, African-Americans, and Latinos/as often come to STEM (science, technology, engineering, and mathematics) careers by less traditional paths than White and Asian males. To better understand how and why women might shift toward STEM, particularly computer science, careers, we investigated the education and career direction of afterschool facilitators, primarily women of color in their twenties and thirties, who taught Build IT, an afterschool computer science curriculum for middle school girls. Many of these women indicated that implementing Build IT had influenced their own interest in technology and computer science and in some cases had resulted in their intent to pursue technology and computer science education. We wanted to explore the role that teaching Build IT may have played in activating or reactivating interest in careers in computer science and to see whether in the years following implementation of Build IT, these women pursued STEM education and/or careers. We reached nine facilitators who implemented the program in 2011-12 or shortly after. Many indicated that while facilitating Build IT, they learned along with the participants, increasing their interest in and confidence with technology and computer science. Seven of the nine participants pursued further STEM or computer science learning or modified their career paths to include more of a STEM or computer science focus. Through interviews, we explored what aspects of Build IT influenced these facilitators' interest and confidence in STEM and when relevant their pursuit of technology and computer science education and careers.

  6. The NASA computer science research program plan

    NASA Technical Reports Server (NTRS)

    1983-01-01

    A taxonomy of computer science is included, one state of the art of each of the major computer science categories is summarized. A functional breakdown of NASA programs under Aeronautics R and D, space R and T, and institutional support is also included. These areas were assessed against the computer science categories. Concurrent processing, highly reliable computing, and information management are identified.

  7. On teaching computer ethics within a computer science department.

    PubMed

    Quinn, Michael J

    2006-04-01

    The author has surveyed a quarter of the accredited undergraduate computer science programs in the United States. More than half of these programs offer a 'social and ethical implications of computing' course taught by a computer science faculty member, and there appears to be a trend toward teaching ethics classes within computer science departments. Although the decision to create an 'in house' computer ethics course may sometimes be a pragmatic response to pressure from the accreditation agency, this paper argues that teaching ethics within a computer science department can provide students and faculty members with numerous benefits. The paper lists topics that can be covered in a computer ethics course and offers some practical suggestions for making the course successful.

  8. Computational Science News | Computational Science | NREL

    Science.gov Websites

    -Cooled High-Performance Computing Technology at the ESIF February 28, 2018 NREL Launches New Website for High-Performance Computing System Users The National Renewable Energy Laboratory (NREL) Computational Science Center has launched a revamped website for users of the lab's high-performance computing (HPC

  9. Stability Analysis of Finite Difference Approximations to Hyperbolic Systems, and Problems in Applied and Computational Matrix Theory

    DTIC Science & Technology

    1988-07-08

    Marcus and C. Baczynski), Computer Science Press, Rockville, Maryland, 1986. 3. An Introduction to Pascal and Precalculus , Computer Science Press...Science Press, Rockville, Maryland, 1986. 35. An Introduction to Pascal and Precalculus , Computer Science Press, Rockville, Maryland, 1986. 36

  10. Empirical Determination of Competence Areas to Computer Science Education

    ERIC Educational Resources Information Center

    Zendler, Andreas; Klaudt, Dieter; Seitz, Cornelia

    2014-01-01

    The authors discuss empirically determined competence areas to K-12 computer science education, emphasizing the cognitive level of competence. The results of a questionnaire with 120 professors of computer science serve as a database. By using multi-dimensional scaling and cluster analysis, four competence areas to computer science education…

  11. Factors Influencing Exemplary Science Teachers' Levels of Computer Use

    ERIC Educational Resources Information Center

    Hakverdi, Meral; Dana, Thomas M.; Swain, Colleen

    2011-01-01

    The purpose of this study was to examine exemplary science teachers' use of technology in science instruction, factors influencing their level of computer use, their level of knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, and their…

  12. Preparing Future Secondary Computer Science Educators

    ERIC Educational Resources Information Center

    Ajwa, Iyad

    2007-01-01

    Although nearly every college offers a major in computer science, many computer science teachers at the secondary level have received little formal training. This paper presents details of a project that could make a significant contribution to national efforts to improve computer science education by combining teacher education and professional…

  13. OPENING REMARKS: SciDAC: Scientific Discovery through Advanced Computing

    NASA Astrophysics Data System (ADS)

    Strayer, Michael

    2005-01-01

    Good morning. Welcome to SciDAC 2005 and San Francisco. SciDAC is all about computational science and scientific discovery. In a large sense, computational science characterizes SciDAC and its intent is change. It transforms both our approach and our understanding of science. It opens new doors and crosses traditional boundaries while seeking discovery. In terms of twentieth century methodologies, computational science may be said to be transformational. There are a number of examples to this point. First are the sciences that encompass climate modeling. The application of computational science has in essence created the field of climate modeling. This community is now international in scope and has provided precision results that are challenging our understanding of our environment. A second example is that of lattice quantum chromodynamics. Lattice QCD, while adding precision and insight to our fundamental understanding of strong interaction dynamics, has transformed our approach to particle and nuclear science. The individual investigator approach has evolved to teams of scientists from different disciplines working side-by-side towards a common goal. SciDAC is also undergoing a transformation. This meeting is a prime example. Last year it was a small programmatic meeting tracking progress in SciDAC. This year, we have a major computational science meeting with a variety of disciplines and enabling technologies represented. SciDAC 2005 should position itself as a new corner stone for Computational Science and its impact on science. As we look to the immediate future, FY2006 will bring a new cycle to SciDAC. Most of the program elements of SciDAC will be re-competed in FY2006. The re-competition will involve new instruments for computational science, new approaches for collaboration, as well as new disciplines. There will be new opportunities for virtual experiments in carbon sequestration, fusion, and nuclear power and nuclear waste, as well as collaborations with industry and virtual prototyping. New instruments of collaboration will include institutes and centers while summer schools, workshops and outreach will invite new talent and expertise. Computational science adds new dimensions to science and its practice. Disciplines of fusion, accelerator science, and combustion are poised to blur the boundaries between pure and applied science. As we open the door into FY2006 we shall see a landscape of new scientific challenges: in biology, chemistry, materials, and astrophysics to name a few. The enabling technologies of SciDAC have been transformational as drivers of change. Planning for major new software systems assumes a base line employing Common Component Architectures and this has become a household word for new software projects. While grid algorithms and mesh refinement software have transformed applications software, data management and visualization have transformed our understanding of science from data. The Gordon Bell prize now seems to be dominated by computational science and solvers developed by TOPS ISIC. The priorities of the Office of Science in the Department of Energy are clear. The 20 year facilities plan is driven by new science. High performance computing is placed amongst the two highest priorities. Moore's law says that by the end of the next cycle of SciDAC we shall have peta-flop computers. The challenges of petascale computing are enormous. These and the associated computational science are the highest priorities for computing within the Office of Science. Our effort in Leadership Class computing is just a first step towards this goal. Clearly, computational science at this scale will face enormous challenges and possibilities. Performance evaluation and prediction will be critical to unraveling the needed software technologies. We must not lose sight of our overarching goal—that of scientific discovery. Science does not stand still and the landscape of science discovery and computing holds immense promise. In this environment, I believe it is necessary to institute a system of science based performance metrics to help quantify our progress towards science goals and scientific computing. As a final comment I would like to reaffirm that the shifting landscapes of science will force changes to our computational sciences, and leave you with the quote from Richard Hamming, 'The purpose of computing is insight, not numbers'.

  14. An integrated science-based methodology to assess potential risks and implications of engineered nanomaterials.

    PubMed

    Tolaymat, Thabet; El Badawy, Amro; Sequeira, Reynold; Genaidy, Ash

    2015-11-15

    There is an urgent need for broad and integrated studies that address the risks of engineered nanomaterials (ENMs) along the different endpoints of the society, environment, and economy (SEE) complex adaptive system. This article presents an integrated science-based methodology to assess the potential risks of engineered nanomaterials. To achieve the study objective, two major tasks are accomplished, knowledge synthesis and algorithmic computational methodology. The knowledge synthesis task is designed to capture "what is known" and to outline the gaps in knowledge from ENMs risk perspective. The algorithmic computational methodology is geared toward the provision of decisions and an understanding of the risks of ENMs along different endpoints for the constituents of the SEE complex adaptive system. The approach presented herein allows for addressing the formidable task of assessing the implications and risks of exposure to ENMs, with the long term goal to build a decision-support system to guide key stakeholders in the SEE system towards building sustainable ENMs and nano-enabled products. Published by Elsevier B.V.

  15. Enabling Wide-Scale Computer Science Education through Improved Automated Assessment Tools

    NASA Astrophysics Data System (ADS)

    Boe, Bryce A.

    There is a proliferating demand for newly trained computer scientists as the number of computer science related jobs continues to increase. University programs will only be able to train enough new computer scientists to meet this demand when two things happen: when there are more primary and secondary school students interested in computer science, and when university departments have the resources to handle the resulting increase in enrollment. To meet these goals, significant effort is being made to both incorporate computational thinking into existing primary school education, and to support larger university computer science class sizes. We contribute to this effort through the creation and use of improved automated assessment tools. To enable wide-scale computer science education we do two things. First, we create a framework called Hairball to support the static analysis of Scratch programs targeted for fourth, fifth, and sixth grade students. Scratch is a popular building-block language utilized to pique interest in and teach the basics of computer science. We observe that Hairball allows for rapid curriculum alterations and thus contributes to wide-scale deployment of computer science curriculum. Second, we create a real-time feedback and assessment system utilized in university computer science classes to provide better feedback to students while reducing assessment time. Insights from our analysis of student submission data show that modifications to the system configuration support the way students learn and progress through course material, making it possible for instructors to tailor assignments to optimize learning in growing computer science classes.

  16. Programmers, professors, and parasites: credit and co-authorship in computer science.

    PubMed

    Solomon, Justin

    2009-12-01

    This article presents an in-depth analysis of past and present publishing practices in academic computer science to suggest the establishment of a more consistent publishing standard. Historical precedent for academic publishing in computer science is established through the study of anecdotes as well as statistics collected from databases of published computer science papers. After examining these facts alongside information about analogous publishing situations and standards in other scientific fields, the article concludes with a list of basic principles that should be adopted in any computer science publishing standard. These principles would contribute to the reliability and scientific nature of academic publications in computer science and would allow for more straightforward discourse in future publications.

  17. Increasing Diversity in Computer Science: Acknowledging, yet Moving Beyond, Gender

    NASA Astrophysics Data System (ADS)

    Larsen, Elizabeth A.; Stubbs, Margaret L.

    Lack of diversity within the computer science field has, thus far, been examined most fully through the lens of gender. This article is based on a follow-on to Margolis and Fisher's (2002) study and includes interviews with 33 Carnegie Mellon University students from the undergraduate senior class of 2002 in the School of Computer Science. We found evidence of similarities among the perceptions of these women and men on definitions of computer science, explanations for the notoriously low proportion of women in the field, characterizations of a typical computer science student, impressions of recent curricular changes, a sense of the atmosphere/culture in the program, views of the Women@SCS campus organization, and suggestions for attracting and retaining well-rounded students in computer science. We conclude that efforts to increase diversity in the computer science field will benefit from a more broad-based approach that considers, but is not limited to, notions of gender difference.

  18. Democratizing Computer Science

    ERIC Educational Resources Information Center

    Margolis, Jane; Goode, Joanna; Ryoo, Jean J.

    2015-01-01

    Computer science programs are too often identified with a narrow stratum of the student population, often white or Asian boys who have access to computers at home. But because computers play such a huge role in our world today, all students can benefit from the study of computer science and the opportunity to build skills related to computing. The…

  19. Implementing an Affordable High-Performance Computing for Teaching-Oriented Computer Science Curriculum

    ERIC Educational Resources Information Center

    Abuzaghleh, Omar; Goldschmidt, Kathleen; Elleithy, Yasser; Lee, Jeongkyu

    2013-01-01

    With the advances in computing power, high-performance computing (HPC) platforms have had an impact on not only scientific research in advanced organizations but also computer science curriculum in the educational community. For example, multicore programming and parallel systems are highly desired courses in the computer science major. However,…

  20. Computer Science and the Liberal Arts

    ERIC Educational Resources Information Center

    Shannon, Christine

    2010-01-01

    Computer science and the liberal arts have much to offer each other. Yet liberal arts colleges, in particular, have been slow to recognize the opportunity that the study of computer science provides for achieving the goals of a liberal education. After the precipitous drop in computer science enrollments during the first decade of this century,…

  1. Marrying Content and Process in Computer Science Education

    ERIC Educational Resources Information Center

    Zendler, A.; Spannagel, C.; Klaudt, D.

    2011-01-01

    Constructivist approaches to computer science education emphasize that as well as knowledge, thinking skills and processes are involved in active knowledge construction. K-12 computer science curricula must not be based on fashions and trends, but on contents and processes that are observable in various domains of computer science, that can be…

  2. Computing Whether She Belongs: Stereotypes Undermine Girls' Interest and Sense of Belonging in Computer Science

    ERIC Educational Resources Information Center

    Master, Allison; Cheryan, Sapna; Meltzoff, Andrew N.

    2016-01-01

    Computer science has one of the largest gender disparities in science, technology, engineering, and mathematics. An important reason for this disparity is that girls are less likely than boys to enroll in necessary "pipeline courses," such as introductory computer science. Two experiments investigated whether high-school girls' lower…

  3. Approaching Gender Parity: Women in Computer Science at Afghanistan's Kabul University

    ERIC Educational Resources Information Center

    Plane, Jandelyn

    2010-01-01

    This study explores the representation of women in computer science at the tertiary level through data collected about undergraduate computer science education at Kabul University in Afghanistan. Previous studies have theorized reasons for underrepresentation of women in computer science, and while many of these reasons are indeed present in…

  4. Some Hail 'Computational Science' as Biggest Advance Since Newton, Galileo.

    ERIC Educational Resources Information Center

    Turner, Judith Axler

    1987-01-01

    Computational science is defined as science done on a computer. A computer can serve as a laboratory for researchers who cannot experiment with their subjects, and as a calculator for those who otherwise might need centuries to solve some problems mathematically. The National Science Foundation's support of supercomputers is discussed. (MLW)

  5. African-American males in computer science---Examining the pipeline for clogs

    NASA Astrophysics Data System (ADS)

    Stone, Daryl Bryant

    The literature on African-American males (AAM) begins with a statement to the effect that "Today young Black men are more likely to be killed or sent to prison than to graduate from college." Why are the numbers of African-American male college graduates decreasing? Why are those enrolled in college not majoring in the science, technology, engineering, and mathematics (STEM) disciplines? This research explored why African-American males are not filling the well-recognized industry need for Computer Scientist/Technologists by choosing college tracks to these careers. The literature on STEM disciplines focuses largely on women in STEM, as opposed to minorities, and within minorities, there is a noticeable research gap in addressing the needs and opportunities available to African-American males. The primary goal of this study was therefore to examine the computer science "pipeline" from the African-American male perspective. The method included a "Computer Science Degree Self-Efficacy Scale" be distributed to five groups of African-American male students, to include: (1) fourth graders, (2) eighth graders, (3) eleventh graders, (4) underclass undergraduate computer science majors, and (5) upperclass undergraduate computer science majors. In addition to a 30-question self-efficacy test, subjects from each group were asked to participate in a group discussion about "African-American males in computer science." The audio record of each group meeting provides qualitative data for the study. The hypotheses include the following: (1) There is no significant difference in "Computer Science Degree" self-efficacy between fourth and eighth graders. (2) There is no significant difference in "Computer Science Degree" self-efficacy between eighth and eleventh graders. (3) There is no significant difference in "Computer Science Degree" self-efficacy between eleventh graders and lower-level computer science majors. (4) There is no significant difference in "Computer Science Degree" self-efficacy between lower-level computer science majors and upper-level computer science majors. (5) There is no significant difference in "Computer Science Degree" self-efficacy between each of the five groups of students. Finally, the researcher selected African-American male students attending six primary schools, including the predominately African-American elementary, middle and high school that the researcher attended during his own academic career. Additionally, a racially mixed elementary, middle and high school was selected from the same county in Maryland. Bowie State University provided both the underclass and upperclass computer science majors surveyed in this study. Of the five hypotheses, the sample provided enough evidence to support the claim that there are significant differences in the "Computer Science Degree" self-efficacy between each of the five groups of students. ANOVA analysis by question and total self-efficacy scores provided more results of statistical significance. Additionally, factor analysis and review of the qualitative data provide more insightful results. Overall, the data suggest 'a clog' may exist in the middle school level and students attending racially mixed schools were more confident in their computer, math and science skills. African-American males admit to spending lots of time on social networking websites and emailing, but are 'dis-aware' of the skills and knowledge needed to study in the computing disciplines. The majority of the subjects knew little, if any, AAMs in the 'computing discipline pipeline'. The collegian African-American males, in this study, agree that computer programming is a difficult area and serves as a 'major clog in the pipeline'.

  6. Programming experience promotes higher STEM motivation among first-grade girls.

    PubMed

    Master, Allison; Cheryan, Sapna; Moscatelli, Adriana; Meltzoff, Andrew N

    2017-08-01

    The gender gap in science, technology, engineering, and math (STEM) engagement is large and persistent. This gap is significantly larger in technological fields such as computer science and engineering than in math and science. Gender gaps begin early; young girls report less interest and self-efficacy in technology compared with boys in elementary school. In the current study (N=96), we assessed 6-year-old children's stereotypes about STEM fields and tested an intervention to develop girls' STEM motivation despite these stereotypes. First-grade children held stereotypes that boys were better than girls at robotics and programming but did not hold these stereotypes about math and science. Girls with stronger stereotypes about robotics and programming reported lower interest and self-efficacy in these domains. We experimentally tested whether positive experience with programming robots would lead to greater interest and self-efficacy among girls despite these stereotypes. Children were randomly assigned either to a treatment group that was given experience in programming a robot using a smartphone or to control groups (no activity or other activity). Girls given programming experience reported higher technology interest and self-efficacy compared with girls without this experience and did not exhibit a significant gender gap relative to boys' interest and self-efficacy. These findings show that children's views mirror current American cultural messages about who excels at computer science and engineering and show the benefit of providing young girls with chances to experience technological activities. Copyright © 2017 Elsevier Inc. All rights reserved.

  7. Girls in computer science: A female only introduction class in high school

    NASA Astrophysics Data System (ADS)

    Drobnis, Ann W.

    This study examined the impact of an all girls' classroom environment in a high school introductory computer science class on the student's attitudes towards computer science and their thoughts on future involvement with computer science. It was determined that an all girls' introductory class could impact the declining female enrollment and female students' efficacy towards computer science. This research was conducted in a summer school program through a regional magnet school for science and technology which these students attend during the school year. Three different groupings of students were examined for the research: female students in an all girls' class, female students in mixed-gender classes and male students in mixed-gender classes. A survey, Attitudes about Computers and Computer Science (ACCS), was designed to obtain an understanding of the students' thoughts, preconceptions, attitude, knowledge of computer science, and future intentions around computer science, both in education and career. Students in all three groups were administered the ACCS prior to taking the class and upon completion of the class. In addition, students in the all girls' class wrote in a journal throughout the course, and some of those students were also interviewed upon completion of the course. The data was analyzed using quantitative and qualitative techniques. While there were no major differences found in the quantitative data, it was determined that girls in the all girls' class were truly excited by what they had learned and were more open to the idea of computer science being a part of their future.

  8. Semivariogram modeling by weighted least squares

    USGS Publications Warehouse

    Jian, X.; Olea, R.A.; Yu, Y.-S.

    1996-01-01

    Permissible semivariogram models are fundamental for geostatistical estimation and simulation of attributes having a continuous spatiotemporal variation. The usual practice is to fit those models manually to experimental semivariograms. Fitting by weighted least squares produces comparable results to fitting manually in less time, systematically, and provides an Akaike information criterion for the proper comparison of alternative models. We illustrate the application of a computer program with examples showing the fitting of simple and nested models. Copyright ?? 1996 Elsevier Science Ltd.

  9. Bringing computational science to the public.

    PubMed

    McDonagh, James L; Barker, Daniel; Alderson, Rosanna G

    2016-01-01

    The increasing use of computers in science allows for the scientific analyses of large datasets at an increasing pace. We provided examples and interactive demonstrations at Dundee Science Centre as part of the 2015 Women in Science festival, to present aspects of computational science to the general public. We used low-cost Raspberry Pi computers to provide hands on experience in computer programming and demonstrated the application of computers to biology. Computer games were used as a means to introduce computers to younger visitors. The success of the event was evaluated by voluntary feedback forms completed by visitors, in conjunction with our own self-evaluation. This work builds on the original work of the 4273π bioinformatics education program of Barker et al. (2013, BMC Bioinform. 14:243). 4273π provides open source education materials in bioinformatics. This work looks at the potential to adapt similar materials for public engagement events. It appears, at least in our small sample of visitors (n = 13), that basic computational science can be conveyed to people of all ages by means of interactive demonstrations. Children as young as five were able to successfully edit simple computer programs with supervision. This was, in many cases, their first experience of computer programming. The feedback is predominantly positive, showing strong support for improving computational science education, but also included suggestions for improvement. Our conclusions are necessarily preliminary. However, feedback forms suggest methods were generally well received among the participants; "Easy to follow. Clear explanation" and "Very easy. Demonstrators were very informative." Our event, held at a local Science Centre in Dundee, demonstrates that computer games and programming activities suitable for young children can be performed alongside a more specialised and applied introduction to computational science for older visitors.

  10. Toward a computational framework for cognitive biology: unifying approaches from cognitive neuroscience and comparative cognition.

    PubMed

    Fitch, W Tecumseh

    2014-09-01

    Progress in understanding cognition requires a quantitative, theoretical framework, grounded in the other natural sciences and able to bridge between implementational, algorithmic and computational levels of explanation. I review recent results in neuroscience and cognitive biology that, when combined, provide key components of such an improved conceptual framework for contemporary cognitive science. Starting at the neuronal level, I first discuss the contemporary realization that single neurons are powerful tree-shaped computers, which implies a reorientation of computational models of learning and plasticity to a lower, cellular, level. I then turn to predictive systems theory (predictive coding and prediction-based learning) which provides a powerful formal framework for understanding brain function at a more global level. Although most formal models concerning predictive coding are framed in associationist terms, I argue that modern data necessitate a reinterpretation of such models in cognitive terms: as model-based predictive systems. Finally, I review the role of the theory of computation and formal language theory in the recent explosion of comparative biological research attempting to isolate and explore how different species differ in their cognitive capacities. Experiments to date strongly suggest that there is an important difference between humans and most other species, best characterized cognitively as a propensity by our species to infer tree structures from sequential data. Computationally, this capacity entails generative capacities above the regular (finite-state) level; implementationally, it requires some neural equivalent of a push-down stack. I dub this unusual human propensity "dendrophilia", and make a number of concrete suggestions about how such a system may be implemented in the human brain, about how and why it evolved, and what this implies for models of language acquisition. I conclude that, although much remains to be done, a neurally-grounded framework for theoretical cognitive science is within reach that can move beyond polarized debates and provide a more adequate theoretical future for cognitive biology. Copyright © 2014. Published by Elsevier B.V.

  11. Computer Science and Telecommunications Board summary of activities

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Blumenthal, M.S.

    1992-03-27

    The Computer Science and Telecommunications Board (CSTB) considers technical and policy issues pertaining to computer science, telecommunications, and associated technologies. CSTB actively disseminates the results of its completed projects to those in a position to help implement their recommendations or otherwise use their insights. It provides a forum for the exchange of information on computer science, computing technology, and telecommunications. This report discusses the major accomplishments of CSTB.

  12. Hispanic women overcoming deterrents to computer science: A phenomenological study

    NASA Astrophysics Data System (ADS)

    Herling, Lourdes

    The products of computer science are important to all aspects of society and are tools in the solution of the world's problems. It is, therefore, troubling that the United States faces a shortage in qualified graduates in computer science. The number of women and minorities in computer science is significantly lower than the percentage of the U.S. population which they represent. The overall enrollment in computer science programs has continued to decline with the enrollment of women declining at a higher rate than that of men. This study addressed three aspects of underrepresentation about which there has been little previous research: addressing computing disciplines specifically rather than embedding them within the STEM disciplines, what attracts women and minorities to computer science, and addressing the issues of race/ethnicity and gender in conjunction rather than in isolation. Since women of underrepresented ethnicities are more severely underrepresented than women in general, it is important to consider whether race and ethnicity play a role in addition to gender as has been suggested by previous research. Therefore, this study examined what attracted Hispanic women to computer science specifically. The study determines whether being subjected to multiple marginalizations---female and Hispanic---played a role in the experiences of Hispanic women currently in computer science. The study found five emergent themes within the experiences of Hispanic women in computer science. Encouragement and role models strongly influenced not only the participants' choice to major in the field, but to persist as well. Most of the participants experienced a negative atmosphere and feelings of not fitting in while in college and industry. The interdisciplinary nature of computer science was the most common aspect that attracted the participants to computer science. The aptitudes participants commonly believed are needed for success in computer science are the Twenty-First Century skills problem solving, creativity, and critical thinking. While not all the participants had experience with computers or programming prior to attending college, experience played a role in the self-confidence of those who did.

  13. Neurobiological roots of language in primate audition: common computational properties.

    PubMed

    Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias; Small, Steven L; Rauschecker, Josef P

    2015-03-01

    Here, we present a new perspective on an old question: how does the neurobiology of human language relate to brain systems in nonhuman primates? We argue that higher-order language combinatorics, including sentence and discourse processing, can be situated in a unified, cross-species dorsal-ventral streams architecture for higher auditory processing, and that the functions of the dorsal and ventral streams in higher-order language processing can be grounded in their respective computational properties in primate audition. This view challenges an assumption, common in the cognitive sciences, that a nonhuman primate model forms an inherently inadequate basis for modeling higher-level language functions. Copyright © 2014 Elsevier Ltd. All rights reserved.

  14. Research in applied mathematics, numerical analysis, and computer science

    NASA Technical Reports Server (NTRS)

    1984-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering (ICASE) in applied mathematics, numerical analysis, and computer science is summarized and abstracts of published reports are presented. The major categories of the ICASE research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers.

  15. Science-Driven Computing: NERSC's Plan for 2006-2010

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Simon, Horst D.; Kramer, William T.C.; Bailey, David H.

    NERSC has developed a five-year strategic plan focusing on three components: Science-Driven Systems, Science-Driven Services, and Science-Driven Analytics. (1) Science-Driven Systems: Balanced introduction of the best new technologies for complete computational systems--computing, storage, networking, visualization and analysis--coupled with the activities necessary to engage vendors in addressing the DOE computational science requirements in their future roadmaps. (2) Science-Driven Services: The entire range of support activities, from high-quality operations and user services to direct scientific support, that enable a broad range of scientists to effectively use NERSC systems in their research. NERSC will concentrate on resources needed to realize the promise ofmore » the new highly scalable architectures for scientific discovery in multidisciplinary computational science projects. (3) Science-Driven Analytics: The architectural and systems enhancements and services required to integrate NERSC's powerful computational and storage resources to provide scientists with new tools to effectively manipulate, visualize, and analyze the huge data sets derived from simulations and experiments.« less

  16. Gender Differences in the Use of Computers, Programming, and Peer Interactions in Computer Science Classrooms

    ERIC Educational Resources Information Center

    Stoilescu, Dorian; Egodawatte, Gunawardena

    2010-01-01

    Research shows that female and male students in undergraduate computer science programs view computer culture differently. Female students are interested more in the use of computers than in doing programming, whereas male students see computer science mainly as a programming activity. The overall purpose of our research was not to find new…

  17. Opportunities for Computational Discovery in Basic Energy Sciences

    NASA Astrophysics Data System (ADS)

    Pederson, Mark

    2011-03-01

    An overview of the broad-ranging support of computational physics and computational science within the Department of Energy Office of Science will be provided. Computation as the third branch of physics is supported by all six offices (Advanced Scientific Computing, Basic Energy, Biological and Environmental, Fusion Energy, High-Energy Physics, and Nuclear Physics). Support focuses on hardware, software and applications. Most opportunities within the fields of~condensed-matter physics, chemical-physics and materials sciences are supported by the Officeof Basic Energy Science (BES) or through partnerships between BES and the Office for Advanced Scientific Computing. Activities include radiation sciences, catalysis, combustion, materials in extreme environments, energy-storage materials, light-harvesting and photovoltaics, solid-state lighting and superconductivity.~ A summary of two recent reports by the computational materials and chemical communities on the role of computation during the next decade will be provided. ~In addition to materials and chemistry challenges specific to energy sciences, issues identified~include a focus on the role of the domain scientist in integrating, expanding and sustaining applications-oriented capabilities on evolving high-performance computing platforms and on the role of computation in accelerating the development of innovative technologies. ~~

  18. Research | Computational Science | NREL

    Science.gov Websites

    Research Research NREL's computational science experts use advanced high-performance computing (HPC technologies, thereby accelerating the transformation of our nation's energy system. Enabling High-Impact Research NREL's computational science capabilities enable high-impact research. Some recent examples

  19. Aircraft Engine Noise Scattering by Fuselage and Wings: A Computational Approach

    NASA Technical Reports Server (NTRS)

    Farassat, F.; Stanescu, D.; Hussaini, M. Y.

    2003-01-01

    The paper presents a time-domain method for computation of sound radiation from aircraft engine sources to the far field. The effects of non-uniform flow around the aircraft and scattering of sound by fuselage and wings are accounted for in the formulation. The approach is based on the discretization of the inviscid flow equations through a collocation form of the discontinuous Galerkin spectral element method. An isoparametric representation of the underlying geometry is used in order to take full advantage of the spectral accuracy of the method. Large-scale computations are made possible by a parallel implementation based on message passing. Results obtained for radiation from an axisymmetric nacelle alone are compared with those obtained when the same nacelle is installed in a generic configuration, with and without a wing. 0 2002 Elsevier Science Ltd. All rights reserved.

  20. NASA's computer science research program

    NASA Technical Reports Server (NTRS)

    Larsen, R. L.

    1983-01-01

    Following a major assessment of NASA's computing technology needs, a new program of computer science research has been initiated by the Agency. The program includes work in concurrent processing, management of large scale scientific databases, software engineering, reliable computing, and artificial intelligence. The program is driven by applications requirements in computational fluid dynamics, image processing, sensor data management, real-time mission control and autonomous systems. It consists of university research, in-house NASA research, and NASA's Research Institute for Advanced Computer Science (RIACS) and Institute for Computer Applications in Science and Engineering (ICASE). The overall goal is to provide the technical foundation within NASA to exploit advancing computing technology in aerospace applications.

  1. Girls Save the World through Computer Science

    ERIC Educational Resources Information Center

    Murakami, Christine

    2011-01-01

    It's no secret that fewer and fewer women are entering computer science fields. Attracting high school girls to computer science is only part of the solution. Retaining them while they are in higher education or the workforce is also a challenge. To solve this, there is a need to show girls that computer science is a wide-open field that offers…

  2. The Assessment of Taiwanese College Students' Conceptions of and Approaches to Learning Computer Science and Their Relationships

    ERIC Educational Resources Information Center

    Liang, Jyh-Chong; Su, Yi-Ching; Tsai, Chin-Chung

    2015-01-01

    The aim of this study was to explore Taiwanese college students' conceptions of and approaches to learning computer science and then explore the relationships between the two. Two surveys, Conceptions of Learning Computer Science (COLCS) and Approaches to Learning Computer Science (ALCS), were administered to 421 college students majoring in…

  3. Hispanic Women Overcoming Deterrents to Computer Science: A Phenomenological Study

    ERIC Educational Resources Information Center

    Herling, Lourdes

    2011-01-01

    The products of computer science are important to all aspects of society and are tools in the solution of the world's problems. It is, therefore, troubling that the United States faces a shortage in qualified graduates in computer science. The number of women and minorities in computer science is significantly lower than the percentage of the…

  4. The Effects of Integrating Service Learning into Computer Science: An Inter-Institutional Longitudinal Study

    ERIC Educational Resources Information Center

    Payton, Jamie; Barnes, Tiffany; Buch, Kim; Rorrer, Audrey; Zuo, Huifang

    2015-01-01

    This study is a follow-up to one published in computer science education in 2010 that reported preliminary results showing a positive impact of service learning on student attitudes associated with success and retention in computer science. That paper described how service learning was incorporated into a computer science course in the context of…

  5. Non-Determinism: An Abstract Concept in Computer Science Studies

    ERIC Educational Resources Information Center

    Armoni, Michal; Gal-Ezer, Judith

    2007-01-01

    Non-determinism is one of the most important, yet abstract, recurring concepts of Computer Science. It plays an important role in Computer Science areas such as formal language theory, computability theory, distributed computing, and operating systems. We conducted a series of studies on the perception of non-determinism. In the current research,…

  6. An Investigation of Primary School Science Teachers' Use of Computer Applications

    ERIC Educational Resources Information Center

    Ocak, Mehmet Akif; Akdemir, Omur

    2008-01-01

    This study investigated the level and frequency of science teachers' use of computer applications as an instructional tool in the classroom. The manner and frequency of science teachers' use of computer, their perceptions about integration of computer applications, and other factors contributed to changes in their computer literacy are…

  7. Methodical Approaches to Teaching of Computer Modeling in Computer Science Course

    ERIC Educational Resources Information Center

    Rakhimzhanova, B. Lyazzat; Issabayeva, N. Darazha; Khakimova, Tiyshtik; Bolyskhanova, J. Madina

    2015-01-01

    The purpose of this study was to justify of the formation technique of representation of modeling methodology at computer science lessons. The necessity of studying computer modeling is that the current trends of strengthening of general education and worldview functions of computer science define the necessity of additional research of the…

  8. IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research.

    PubMed

    Chen, Ying; Elenee Argentinis, J D; Weber, Griff

    2016-04-01

    Life sciences researchers are under pressure to innovate faster than ever. Big data offer the promise of unlocking novel insights and accelerating breakthroughs. Ironically, although more data are available than ever, only a fraction is being integrated, understood, and analyzed. The challenge lies in harnessing volumes of data, integrating the data from hundreds of sources, and understanding their various formats. New technologies such as cognitive computing offer promise for addressing this challenge because cognitive solutions are specifically designed to integrate and analyze big datasets. Cognitive solutions can understand different types of data such as lab values in a structured database or the text of a scientific publication. Cognitive solutions are trained to understand technical, industry-specific content and use advanced reasoning, predictive modeling, and machine learning techniques to advance research faster. Watson, a cognitive computing technology, has been configured to support life sciences research. This version of Watson includes medical literature, patents, genomics, and chemical and pharmacological data that researchers would typically use in their work. Watson has also been developed with specific comprehension of scientific terminology so it can make novel connections in millions of pages of text. Watson has been applied to a few pilot studies in the areas of drug target identification and drug repurposing. The pilot results suggest that Watson can accelerate identification of novel drug candidates and novel drug targets by harnessing the potential of big data. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

  9. Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.

    PubMed

    Kapur, Tina; Pieper, Steve; Fedorov, Andriy; Fillion-Robin, J-C; Halle, Michael; O'Donnell, Lauren; Lasso, Andras; Ungi, Tamas; Pinter, Csaba; Finet, Julien; Pujol, Sonia; Jagadeesan, Jayender; Tokuda, Junichi; Norton, Isaiah; Estepar, Raul San Jose; Gering, David; Aerts, Hugo J W L; Jakab, Marianna; Hata, Nobuhiko; Ibanez, Luiz; Blezek, Daniel; Miller, Jim; Aylward, Stephen; Grimson, W Eric L; Fichtinger, Gabor; Wells, William M; Lorensen, William E; Schroeder, Will; Kikinis, Ron

    2016-10-01

    The National Alliance for Medical Image Computing (NA-MIC) was launched in 2004 with the goal of investigating and developing an open source software infrastructure for the extraction of information and knowledge from medical images using computational methods. Several leading research and engineering groups participated in this effort that was funded by the US National Institutes of Health through a variety of infrastructure grants. This effort transformed 3D Slicer from an internal, Boston-based, academic research software application into a professionally maintained, robust, open source platform with an international leadership and developer and user communities. Critical improvements to the widely used underlying open source libraries and tools-VTK, ITK, CMake, CDash, DCMTK-were an additional consequence of this effort. This project has contributed to close to a thousand peer-reviewed publications and a growing portfolio of US and international funded efforts expanding the use of these tools in new medical computing applications every year. In this editorial, we discuss what we believe are gaps in the way medical image computing is pursued today; how a well-executed research platform can enable discovery, innovation and reproducible science ("Open Science"); and how our quest to build such a software platform has evolved into a productive and rewarding social engineering exercise in building an open-access community with a shared vision. Copyright © 2016 Elsevier B.V. All rights reserved.

  10. Climate Modeling Computing Needs Assessment

    NASA Astrophysics Data System (ADS)

    Petraska, K. E.; McCabe, J. D.

    2011-12-01

    This paper discusses early findings of an assessment of computing needs for NASA science, engineering and flight communities. The purpose of this assessment is to document a comprehensive set of computing needs that will allow us to better evaluate whether our computing assets are adequately structured to meet evolving demand. The early results are interesting, already pointing out improvements we can make today to get more out of the computing capacity we have, as well as potential game changing innovations for the future in how we apply information technology to science computing. Our objective is to learn how to leverage our resources in the best way possible to do more science for less money. Our approach in this assessment is threefold: Development of use case studies for science workflows; Creating a taxonomy and structure for describing science computing requirements; and characterizing agency computing, analysis, and visualization resources. As projects evolve, science data sets increase in a number of ways: in size, scope, timelines, complexity, and fidelity. Generating, processing, moving, and analyzing these data sets places distinct and discernable requirements on underlying computing, analysis, storage, and visualization systems. The initial focus group for this assessment is the Earth Science modeling community within NASA's Science Mission Directorate (SMD). As the assessment evolves, this focus will expand to other science communities across the agency. We will discuss our use cases, our framework for requirements and our characterizations, as well as our interview process, what we learned and how we plan to improve our materials after using them in the first round of interviews in the Earth Science Modeling community. We will describe our plans for how to expand this assessment, first into the Earth Science data analysis and remote sensing communities, and then throughout the full community of science, engineering and flight at NASA.

  11. Kenny Gruchalla | NREL

    Science.gov Websites

    feature extraction, human-computer interaction, and physics-based modeling. Professional Experience 2009 ., computer science, University of Colorado at Boulder M.S., computer science, University of Colorado at Boulder B.S., computer science, New Mexico Institute of Mining and Technology

  12. Computer-aided design and computer science technology

    NASA Technical Reports Server (NTRS)

    Fulton, R. E.; Voigt, S. J.

    1976-01-01

    A description is presented of computer-aided design requirements and the resulting computer science advances needed to support aerospace design. The aerospace design environment is examined, taking into account problems of data handling and aspects of computer hardware and software. The interactive terminal is normally the primary interface between the computer system and the engineering designer. Attention is given to user aids, interactive design, interactive computations, the characteristics of design information, data management requirements, hardware advancements, and computer science developments.

  13. The effects of integrating service learning into computer science: an inter-institutional longitudinal study

    NASA Astrophysics Data System (ADS)

    Payton, Jamie; Barnes, Tiffany; Buch, Kim; Rorrer, Audrey; Zuo, Huifang

    2015-07-01

    This study is a follow-up to one published in computer science education in 2010 that reported preliminary results showing a positive impact of service learning on student attitudes associated with success and retention in computer science. That paper described how service learning was incorporated into a computer science course in the context of the Students & Technology in Academia, Research, and Service (STARS) Alliance, an NSF-supported broadening participation in computing initiative that aims to diversify the computer science pipeline through innovative pedagogy and inter-institutional partnerships. The current paper describes how the STARS Alliance has expanded to diverse institutions, all using service learning as a vehicle for broadening participation in computing and enhancing attitudes and behaviors associated with student success. Results supported the STARS model of service learning for enhancing computing efficacy and computing commitment and for providing diverse students with many personal and professional development benefits.

  14. ICASE Computer Science Program

    NASA Technical Reports Server (NTRS)

    1985-01-01

    The Institute for Computer Applications in Science and Engineering computer science program is discussed in outline form. Information is given on such topics as problem decomposition, algorithm development, programming languages, and parallel architectures.

  15. In vitro molecular machine learning algorithm via symmetric internal loops of DNA.

    PubMed

    Lee, Ji-Hoon; Lee, Seung Hwan; Baek, Christina; Chun, Hyosun; Ryu, Je-Hwan; Kim, Jin-Woo; Deaton, Russell; Zhang, Byoung-Tak

    2017-08-01

    Programmable biomolecules, such as DNA strands, deoxyribozymes, and restriction enzymes, have been used to solve computational problems, construct large-scale logic circuits, and program simple molecular games. Although studies have shown the potential of molecular computing, the capability of computational learning with DNA molecules, i.e., molecular machine learning, has yet to be experimentally verified. Here, we present a novel molecular learning in vitro model in which symmetric internal loops of double-stranded DNA are exploited to measure the differences between training instances, thus enabling the molecules to learn from small errors. The model was evaluated on a data set of twenty dialogue sentences obtained from the television shows Friends and Prison Break. The wet DNA-computing experiments confirmed that the molecular learning machine was able to generalize the dialogue patterns of each show and successfully identify the show from which the sentences originated. The molecular machine learning model described here opens the way for solving machine learning problems in computer science and biology using in vitro molecular computing with the data encoded in DNA molecules. Copyright © 2017. Published by Elsevier B.V.

  16. Applications of Out-of-Domain Knowledge in Students' Reasoning about Computer Program State

    ERIC Educational Resources Information Center

    Lewis, Colleen Marie

    2012-01-01

    To meet a growing demand and a projected deficit in the supply of computer professionals (NCWIT, 2009), it is of vital importance to expand students' access to computer science. However, many researchers in the computer science education community unproductively assume that some students lack an innate ability for computer science and…

  17. Structures, Not Strings: Linguistics as Part of the Cognitive Sciences.

    PubMed

    Everaert, Martin B H; Huybregts, Marinus A C; Chomsky, Noam; Berwick, Robert C; Bolhuis, Johan J

    2015-12-01

    There are many questions one can ask about human language: its distinctive properties, neural representation, characteristic uses including use in communicative contexts, variation, growth in the individual, and origin. Every such inquiry is guided by some concept of what 'language' is. Sharpening the core question--what is language?--and paying close attention to the basic property of the language faculty and its biological foundations makes it clear how linguistics is firmly positioned within the cognitive sciences. Here we will show how recent developments in generative grammar, taking language as a computational cognitive mechanism seriously, allow us to address issues left unexplained in the increasingly popular surface-oriented approaches to language. Copyright © 2015 Elsevier Ltd. All rights reserved.

  18. Scientific Computing Strategic Plan for the Idaho National Laboratory

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Whiting, Eric Todd

    Scientific computing is a critical foundation of modern science. Without innovations in the field of computational science, the essential missions of the Department of Energy (DOE) would go unrealized. Taking a leadership role in such innovations is Idaho National Laboratory’s (INL’s) challenge and charge, and is central to INL’s ongoing success. Computing is an essential part of INL’s future. DOE science and technology missions rely firmly on computing capabilities in various forms. Modeling and simulation, fueled by innovations in computational science and validated through experiment, are a critical foundation of science and engineering. Big data analytics from an increasing numbermore » of widely varied sources is opening new windows of insight and discovery. Computing is a critical tool in education, science, engineering, and experiments. Advanced computing capabilities in the form of people, tools, computers, and facilities, will position INL competitively to deliver results and solutions on important national science and engineering challenges. A computing strategy must include much more than simply computers. The foundational enabling component of computing at many DOE national laboratories is the combination of a showcase like data center facility coupled with a very capable supercomputer. In addition, network connectivity, disk storage systems, and visualization hardware are critical and generally tightly coupled to the computer system and co located in the same facility. The existence of these resources in a single data center facility opens the doors to many opportunities that would not otherwise be possible.« less

  19. A Cognitive Model for Problem Solving in Computer Science

    ERIC Educational Resources Information Center

    Parham, Jennifer R.

    2009-01-01

    According to industry representatives, computer science education needs to emphasize the processes involved in solving computing problems rather than their solutions. Most of the current assessment tools used by universities and computer science departments analyze student answers to problems rather than investigating the processes involved in…

  20. Approaches to Classroom-Based Computational Science.

    ERIC Educational Resources Information Center

    Guzdial, Mark

    Computational science includes the use of computer-based modeling and simulation to define and test theories about scientific phenomena. The challenge for educators is to develop techniques for implementing computational science in the classroom. This paper reviews some previous work on the use of simulation alone (without modeling), modeling…

  1. Defining Computational Thinking for Mathematics and Science Classrooms

    ERIC Educational Resources Information Center

    Weintrop, David; Beheshti, Elham; Horn, Michael; Orton, Kai; Jona, Kemi; Trouille, Laura; Wilensky, Uri

    2016-01-01

    Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include "computational thinking" as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new…

  2. NASA Center for Computational Sciences: History and Resources

    NASA Technical Reports Server (NTRS)

    2000-01-01

    The Nasa Center for Computational Sciences (NCCS) has been a leading capacity computing facility, providing a production environment and support resources to address the challenges facing the Earth and space sciences research community.

  3. Institute for Computer Applications in Science and Engineering (ICASE)

    NASA Technical Reports Server (NTRS)

    1984-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science during the period April 1, 1983 through September 30, 1983 is summarized.

  4. Computers in Science: Thinking Outside the Discipline.

    ERIC Educational Resources Information Center

    Hamilton, Todd M.

    2003-01-01

    Describes the Computers in Science course which integrates computer-related techniques into the science disciplines of chemistry, physics, biology, and Earth science. Uses a team teaching approach and teaches students how to solve chemistry problems with spreadsheets, identify minerals with X-rays, and chemical and force analysis. (Contains 14…

  5. 78 FR 64255 - Advisory Committee for Computer and Information Science and Engineering; Cancellation of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-28

    ... NATIONAL SCIENCE FOUNDATION Advisory Committee for Computer and Information Science and Engineering; Cancellation of Meeting SUMMARY: As a result of the impact of the recent government shutdown, the... Committee for Computer and Information Science and Engineering meeting. The public notice for this committee...

  6. Exemplary Science Teachers' Use of Technology

    ERIC Educational Resources Information Center

    Hakverdi-Can, Meral; Dana, Thomas M.

    2012-01-01

    The purpose of this study is to examine exemplary science teachers' level of computer use, their knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, how often they required their students to use those applications in or for their science class…

  7. Software Reviews.

    ERIC Educational Resources Information Center

    Science and Children, 1990

    1990-01-01

    Reviewed are seven computer software packages for IBM and/or Apple Computers. Included are "Windows on Science: Volume 1--Physical Science"; "Science Probe--Physical Science"; "Wildlife Adventures--Grizzly Bears"; "Science Skills--Development Programs"; "The Clean Machine"; "Rock Doctor";…

  8. An Overview of NASA's Intelligent Systems Program

    NASA Technical Reports Server (NTRS)

    Cooke, Daniel E.; Norvig, Peter (Technical Monitor)

    2001-01-01

    NASA and the Computer Science Research community are poised to enter a critical era. An era in which - it seems - that each needs the other. Market forces, driven by the immediate economic viability of computer science research results, place Computer Science in a relatively novel position. These forces impact how research is done, and could, in worst case, drive the field away from significant innovation opting instead for incremental advances that result in greater stability in the market place. NASA, however, requires significant advances in computer science research in order to accomplish the exploration and science agenda it has set out for itself. NASA may indeed be poised to advance computer science research in this century much the way it advanced aero-based research in the last.

  9. A Review of Models for Teacher Preparation Programs for Precollege Computer Science Education.

    ERIC Educational Resources Information Center

    Deek, Fadi P.; Kimmel, Howard

    2002-01-01

    Discusses the need for adequate precollege computer science education and focuses on the issues of teacher preparation programs and requirements needed to teach high school computer science. Presents models of teacher preparation programs and compares state requirements with Association for Computing Machinery (ACM) recommendations. (Author/LRW)

  10. A DDC Bibliography on Computers in Information Sciences. Volume II. Information Sciences Series.

    ERIC Educational Resources Information Center

    Defense Documentation Center, Alexandria, VA.

    The unclassified and unlimited bibliography compiles references dealing specifically with the role of computers in information sciences. The volume contains 239 annotated references grouped under three major headings: Artificial and Programming Languages, Computer Processing of Analog Data, and Computer Processing of Digital Data. The references…

  11. Making Advanced Computer Science Topics More Accessible through Interactive Technologies

    ERIC Educational Resources Information Center

    Shao, Kun; Maher, Peter

    2012-01-01

    Purpose: Teaching advanced technical concepts in a computer science program to students of different technical backgrounds presents many challenges. The purpose of this paper is to present a detailed experimental pedagogy in teaching advanced computer science topics, such as computer networking, telecommunications and data structures using…

  12. ASCR Workshop on Quantum Computing for Science

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Aspuru-Guzik, Alan; Van Dam, Wim; Farhi, Edward

    This report details the findings of the DOE ASCR Workshop on Quantum Computing for Science that was organized to assess the viability of quantum computing technologies to meet the computational requirements of the DOE’s science and energy mission, and to identify the potential impact of quantum technologies. The workshop was held on February 17-18, 2015, in Bethesda, MD, to solicit input from members of the quantum computing community. The workshop considered models of quantum computation and programming environments, physical science applications relevant to DOE's science mission as well as quantum simulation, and applied mathematics topics including potential quantum algorithms formore » linear algebra, graph theory, and machine learning. This report summarizes these perspectives into an outlook on the opportunities for quantum computing to impact problems relevant to the DOE’s mission as well as the additional research required to bring quantum computing to the point where it can have such impact.« less

  13. A Case Study of the Introduction of Computer Science in NZ Schools

    ERIC Educational Resources Information Center

    Bell, Tim; Andreae, Peter; Robins, Anthony

    2014-01-01

    For many years computing in New Zealand schools was focused on teaching students how to use computers, and there was little opportunity for students to learn about programming and computer science as formal subjects. In this article we review a series of initiatives that occurred from 2007 to 2009 that led to programming and computer science being…

  14. Research in Applied Mathematics, Fluid Mechanics and Computer Science

    NASA Technical Reports Server (NTRS)

    1999-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, fluid mechanics, and computer science during the period October 1, 1998 through March 31, 1999.

  15. [Research activities in applied mathematics, fluid mechanics, and computer science

    NASA Technical Reports Server (NTRS)

    1995-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, fluid mechanics, and computer science during the period April 1, 1995 through September 30, 1995.

  16. Activities of the Institute for Computer Applications in Science and Engineering

    NASA Technical Reports Server (NTRS)

    1985-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period April 1, 1985 through October 2, 1985 is summarized.

  17. K-16 Computationally Rich Science Education: A Ten-Year Review of the "Journal of Science Education and Technology" (1998-2008)

    ERIC Educational Resources Information Center

    Wofford, Jennifer

    2009-01-01

    Computing is anticipated to have an increasingly expansive impact on the sciences overall, becoming the third, crucial component of a "golden triangle" that includes mathematics and experimental and theoretical science. However, even more true with computing than with math and science, we are not preparing our students for this new reality. It is…

  18. Interactive Synthesis of Code Level Security Rules

    DTIC Science & Technology

    2017-04-01

    Interactive Synthesis of Code-Level Security Rules A Thesis Presented by Leo St. Amour to The Department of Computer Science in partial fulfillment...of the requirements for the degree of Master of Science in Computer Science Northeastern University Boston, Massachusetts April 2017 DISTRIBUTION...Abstract of the Thesis Interactive Synthesis of Code-Level Security Rules by Leo St. Amour Master of Science in Computer Science Northeastern University

  19. Approaching gender parity: Women in computer science at Afghanistan's Kabul University

    NASA Astrophysics Data System (ADS)

    Plane, Jandelyn

    This study explores the representation of women in computer science at the tertiary level through data collected about undergraduate computer science education at Kabul University in Afghanistan. Previous studies have theorized reasons for underrepresentation of women in computer science, and while many of these reasons are indeed present in Afghanistan, they appear to hinder advancement to degree to a lesser extent. Women comprise at least 36% of each graduating class from KU's Computer Science Department; however, in 2007 women were 25% of the university population. In the US, women comprise over 50% of university populations while only graduating on average 25% women in undergraduate computer science programs. Representation of women in computer science in the US is 50% below the university rate, but at KU, it is 50% above the university rate. This mixed methods study of KU was conducted in the following three stages: setting up focus groups with women computer science students, distributing surveys to all students in the CS department, and conducting a series of 22 individual interviews with fourth year CS students. The analysis of the data collected and its comparison to literature on university/department retention in Science, Technology, Engineering and Mathematics gender representation and on women's education in underdeveloped Islamic countries illuminates KU's uncharacteristic representation of women in its Computer Science Department. The retention of women in STEM through the education pipeline has several characteristics in Afghanistan that differ from countries often studied in available literature. Few Afghan students have computers in their home and few have training beyond secretarial applications before considering studying CS at university. University students in Afghanistan are selected based on placement exams and are then assigned to an area of study, and financially supported throughout their academic career, resulting in a low attrition rate from the program. Gender and STEM literature identifies parental encouragement, stereotypes and employment perceptions as influential characteristics. Afghan women in computer science received significant parental encouragement even from parents with no computer background. They do not seem to be influenced by any negative "geek" stereotypes, but they do perceive limitations when considering employment after graduation.

  20. Science-Technology Coupling: The Case of Mathematical Logic and Computer Science.

    ERIC Educational Resources Information Center

    Wagner-Dobler, Roland

    1997-01-01

    In the history of science, there have often been periods of sudden rapprochements between pure science and technology-oriented branches of science. Mathematical logic as pure science and computer science as technology-oriented science have experienced such a rapprochement, which is studied in this article in a bibliometric manner. (Author)

  1. Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.

    PubMed

    Marshall, Thomas; Champagne-Langabeer, Tiffiany; Castelli, Darla; Hoelscher, Deanna

    2017-12-01

    To present research models based on artificial intelligence and discuss the concept of cognitive computing and eScience as disruptive factors in health and life science research methodologies. The paper identifies big data as a catalyst to innovation and the development of artificial intelligence, presents a framework for computer-supported human problem solving and describes a transformation of research support models. This framework includes traditional computer support; federated cognition using machine learning and cognitive agents to augment human intelligence; and a semi-autonomous/autonomous cognitive model, based on deep machine learning, which supports eScience. The paper provides a forward view of the impact of artificial intelligence on our human-computer support and research methods in health and life science research. By augmenting or amplifying human task performance with artificial intelligence, cognitive computing and eScience research models are discussed as novel and innovative systems for developing more effective adaptive obesity intervention programs.

  2. 78 FR 61870 - Advisory Committee for Computer and Information Science and Engineering; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-04

    ... NATIONAL SCIENCE FOUNDATION Advisory Committee for Computer and Information Science and Engineering; Notice of Meeting In accordance with Federal Advisory Committee Act (Pub. L. 92-463, as amended... Committee for Computer and Information Science and Engineering (1115). Date/Time: Oct 31, 2013: 12:30 p.m...

  3. Medicinal chemistry in drug discovery in big pharma: past, present and future.

    PubMed

    Campbell, Ian B; Macdonald, Simon J F; Procopiou, Panayiotis A

    2018-02-01

    The changes in synthetic and medicinal chemistry and related drug discovery science as practiced in big pharma over the past few decades are described. These have been predominantly driven by wider changes in society namely the computer, internet and globalisation. Thoughts about the future of medicinal chemistry are also discussed including sharing the risks and costs of drug discovery and the future of outsourcing. The continuing impact of access to substantial computing power and big data, the use of algorithms in data analysis and drug design are also presented. The next generation of medicinal chemists will communicate in ways that reflect social media and the results of constantly being connected to each other and data. Copyright © 2017. Published by Elsevier Ltd.

  4. Activities of the Institute for Computer Applications in Science and Engineering (ICASE)

    NASA Technical Reports Server (NTRS)

    1985-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period October 1, 1984 through March 31, 1985 is summarized.

  5. [Research Conducted at the Institute for Computer Applications in Science and Engineering

    NASA Technical Reports Server (NTRS)

    1997-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, fluid mechanics, and computer science during the period 1 Oct. 1996 - 31 Mar. 1997.

  6. Activities of the Institute for Computer Applications in Science and Engineering (ICASE)

    NASA Technical Reports Server (NTRS)

    1988-01-01

    This report summarizes research conducted at the Institute for Computer Applications Science and Engineering in applied mathematics, numerical analysis, and computer science during the period October 2, 1987 through March 31, 1988.

  7. [Activities of Institute for Computer Applications in Science and Engineering (ICASE)

    NASA Technical Reports Server (NTRS)

    1999-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics. fluid mechanics, and computer science during the period April 1, 1999 through September 30. 1999.

  8. The role of physicality in rich programming environments

    NASA Astrophysics Data System (ADS)

    Liu, Allison S.; Schunn, Christian D.; Flot, Jesse; Shoop, Robin

    2013-12-01

    Computer science proficiency continues to grow in importance, while the number of students entering computer science-related fields declines. Many rich programming environments have been created to motivate student interest and expertise in computer science. In the current study, we investigated whether a recently created environment, Robot Virtual Worlds (RVWs), can be used to teach computer science principles within a robotics context by examining its use in high-school classrooms. We also investigated whether the lack of physicality in these environments impacts student learning by comparing classrooms that used either virtual or physical robots for the RVW curriculum. Results suggest that the RVW environment leads to significant gains in computer science knowledge, that virtual robots lead to faster learning, and that physical robots may have some influence on algorithmic thinking. We discuss the implications of physicality in these programming environments for learning computer science.

  9. Path Not Found: Disparities in Access to Computer Science Courses in California High Schools

    ERIC Educational Resources Information Center

    Martin, Alexis; McAlear, Frieda; Scott, Allison

    2015-01-01

    "Path Not Found: Disparities in Access to Computer Science Courses in California High Schools" exposes one of the foundational causes of underrepresentation in computing: disparities in access to computer science courses in California's public high schools. This report provides new, detailed data on these disparities by student body…

  10. Developing Oral and Written Communication Skills in Undergraduate Computer Science and Information Systems Curriculum

    ERIC Educational Resources Information Center

    Kortsarts, Yana; Fischbach, Adam; Rufinus, Jeff; Utell, Janine M.; Yoon, Suk-Chung

    2010-01-01

    Developing and applying oral and written communication skills in the undergraduate computer science and computer information systems curriculum--one of the ABET accreditation requirements - is a very challenging and, at the same time, a rewarding task that provides various opportunities to enrich the undergraduate computer science and computer…

  11. EOS MLS Science Data Processing System: A Description of Architecture and Capabilities

    NASA Technical Reports Server (NTRS)

    Cuddy, David T.; Echeverri, Mark D.; Wagner, Paul A.; Hanzel, Audrey T.; Fuller, Ryan A.

    2006-01-01

    This paper describes the architecture and capabilities of the Science Data Processing System (SDPS) for the EOS MLS. The SDPS consists of two major components--the Science Computing Facility and the Science Investigator-led Processing System. The Science Computing Facility provides the facilities for the EOS MLS Science Team to perform the functions of scientific algorithm development, processing software development, quality control of data products, and scientific analyses. The Science Investigator-led Processing System processes and reprocesses the science data for the entire mission and delivers the data products to the Science Computing Facility and to the Goddard Space Flight Center Earth Science Distributed Active Archive Center, which archives and distributes the standard science products.

  12. Counterfactuals cannot count: a rejoinder to David Chalmers.

    PubMed

    Bishop, Mark

    2002-12-01

    The initial argument presented herein is not significantly original--it is a simple reflection upon a notion of computation originally developed by Putnam (Putnam 1988; see also Searle, 1990) and criticised by Chalmers et al. (Chalmers, 1994; 1996a, b; see also the special issue, What is Computation?, in Minds and Machines, 4:4, November 1994). In what follows, instead of seeking to justify Putnam's conclusion that every open system implements every Finite State Automaton (FSA) and hence that psychological states of the brain cannot be functional states of a computer, I will establish the weaker result that, over a finite time window every open system implements the trace of FSA Q, as it executes program (P) on input (I). If correct the resulting bold philosophical claim is that phenomenal states--such as feelings and visual experiences--can never be understood or explained functionally. Copyright 2002 Elsevier Science (USA)

  13. ChemPreview: an augmented reality-based molecular interface.

    PubMed

    Zheng, Min; Waller, Mark P

    2017-05-01

    Human computer interfaces make computational science more comprehensible and impactful. Complex 3D structures such as proteins or DNA are magnified by digital representations and displayed on two-dimensional monitors. Augmented reality has recently opened another door to access the virtual three-dimensional world. Herein, we present an augmented reality application called ChemPreview with the potential to manipulate bio-molecular structures at an atomistic level. ChemPreview is available at https://github.com/wallerlab/chem-preview/releases, and is built on top of the Meta 1 platform https://www.metavision.com/. ChemPreview can be used to interact with a protein in an intuitive way using natural hand gestures, thereby making it appealing to computational chemists or structural biologists. The ability to manipulate atoms in real world could eventually provide new and more efficient ways of extracting structural knowledge, or designing new molecules in silico. Copyright © 2017 Elsevier Inc. All rights reserved.

  14. Women in computer science: An interpretative phenomenological analysis exploring common factors contributing to women's selection and persistence in computer science as an academic major

    NASA Astrophysics Data System (ADS)

    Thackeray, Lynn Roy

    The purpose of this study is to understand the meaning that women make of the social and cultural factors that influence their reasons for entering and remaining in study of computer science. The twenty-first century presents many new challenges in career development and workforce choices for both men and women. Information technology has become the driving force behind many areas of the economy. As this trend continues, it has become essential that U.S. citizens need to pursue a career in technologies, including the computing sciences. Although computer science is a very lucrative profession, many Americans, especially women, are not choosing it as a profession. Recent studies have shown no significant differences in math, technical and science competency between men and women. Therefore, other factors, such as social, cultural, and environmental influences seem to affect women's decisions in choosing an area of study and career choices. A phenomenological method of qualitative research was used in this study, based on interviews of seven female students who are currently enrolled in a post-secondary computer science program. Their narratives provided meaning into the social and cultural environments that contribute to their persistence in their technical studies, as well as identifying barriers and challenges that are faced by female students who choose to study computer science. It is hoped that the data collected from this study may provide recommendations for the recruiting, retention and support for women in computer science departments of U.S. colleges and universities, and thereby increase the numbers of women computer scientists in industry. Keywords: gender access, self-efficacy, culture, stereotypes, computer education, diversity.

  15. 77 FR 38630 - Open Internet Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-28

    ... Computer Science and Co-Founder of the Berkman Center for Internet and Society, Harvard University, is... of Technology Computer Science and Artificial Intelligence Laboratory, is appointed vice-chairperson... Jennifer Rexford, Professor of Computer Science, Princeton University Dennis Roberson, Vice Provost...

  16. Research in progress at the Institute for Computer Applications in Science and Engineering

    NASA Technical Reports Server (NTRS)

    1987-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period April 1, 1987 through October 1, 1987.

  17. A parallel-processing approach to computing for the geographic sciences; applications and systems enhancements

    USGS Publications Warehouse

    Crane, Michael; Steinwand, Dan; Beckmann, Tim; Krpan, Greg; Liu, Shu-Guang; Nichols, Erin; Haga, Jim; Maddox, Brian; Bilderback, Chris; Feller, Mark; Homer, George

    2001-01-01

    The overarching goal of this project is to build a spatially distributed infrastructure for information science research by forming a team of information science researchers and providing them with similar hardware and software tools to perform collaborative research. Four geographically distributed Centers of the U.S. Geological Survey (USGS) are developing their own clusters of low-cost, personal computers into parallel computing environments that provide a costeffective way for the USGS to increase participation in the high-performance computing community. Referred to as Beowulf clusters, these hybrid systems provide the robust computing power required for conducting information science research into parallel computing systems and applications.

  18. Enabling Earth Science Through Cloud Computing

    NASA Technical Reports Server (NTRS)

    Hardman, Sean; Riofrio, Andres; Shams, Khawaja; Freeborn, Dana; Springer, Paul; Chafin, Brian

    2012-01-01

    Cloud Computing holds tremendous potential for missions across the National Aeronautics and Space Administration. Several flight missions are already benefiting from an investment in cloud computing for mission critical pipelines and services through faster processing time, higher availability, and drastically lower costs available on cloud systems. However, these processes do not currently extend to general scientific algorithms relevant to earth science missions. The members of the Airborne Cloud Computing Environment task at the Jet Propulsion Laboratory have worked closely with the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) mission to integrate cloud computing into their science data processing pipeline. This paper details the efforts involved in deploying a science data system for the CARVE mission, evaluating and integrating cloud computing solutions with the system and porting their science algorithms for execution in a cloud environment.

  19. Teaching and Learning Methodologies Supported by ICT Applied in Computer Science

    ERIC Educational Resources Information Center

    Capacho, Jose

    2016-01-01

    The main objective of this paper is to show a set of new methodologies applied in the teaching of Computer Science using ICT. The methodologies are framed in the conceptual basis of the following sciences: Psychology, Education and Computer Science. The theoretical framework of the research is supported by Behavioral Theory, Gestalt Theory.…

  20. 76 FR 61118 - Advisory Committee for Computer and Information Science and Engineering; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-10-03

    ... Engineering; Notice of Meeting In accordance with the Federal Advisory Committee Act (Pub. L. 92- 463, as... Computer and Information Science and Engineering (1115). Date and Time: November 1, 2011 from 12 p.m.-5:30... Computer and Information Science and Engineering, National Science Foundation, 4201 Wilson Blvd., Suite...

  1. Computer Science in High School Graduation Requirements. ECS Education Trends (Updated)

    ERIC Educational Resources Information Center

    Zinth, Jennifer

    2016-01-01

    Allowing high school students to fulfill a math or science high school graduation requirement via a computer science credit may encourage more student to pursue computer science coursework. This Education Trends report is an update to the original report released in April 2015 and explores state policies that allow or require districts to apply…

  2. Characteristics of the Navy Laboratory Warfare Center Technical Workforce

    DTIC Science & Technology

    2013-09-29

    Mathematics and Information Science (M&IS) Actuarial Science 1510 Computer Science 1550 Gen. Math & Statistics 1501 Mathematics 1520 Operations...Admin. Network Systems & Data Communication Analysts Actuaries Mathematicians Operations Research Analyst Statisticians Social Science (SS...workforce was sub-divided into six broad occupational groups: Life Science , Physical Science , Engineering, Mathematics, Computer Science and Information

  3. A Review of Computer Science Resources for Learning and Teaching with K-12 Computing Curricula: An Australian Case Study

    ERIC Educational Resources Information Center

    Falkner, Katrina; Vivian, Rebecca

    2015-01-01

    To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age…

  4. Technology, Pedagogy, and Epistemology: Opportunities and Challenges of Using Computer Modeling and Simulation Tools in Elementary Science Methods

    ERIC Educational Resources Information Center

    Schwarz, Christina V.; Meyer, Jason; Sharma, Ajay

    2007-01-01

    This study infused computer modeling and simulation tools in a 1-semester undergraduate elementary science methods course to advance preservice teachers' understandings of computer software use in science teaching and to help them learn important aspects of pedagogy and epistemology. Preservice teachers used computer modeling and simulation tools…

  5. Prospective Students' Reactions to the Presentation of the Computer Science Major

    ERIC Educational Resources Information Center

    Weaver, Daniel Scott

    2010-01-01

    The number of students enrolling in Computer Science in colleges and Universities has declined since its peak in the early 2000s. Some claim contributing factors that intimate that prospective students fear the lack of employment opportunities if they study computing in college. However, the lack of understanding of what Computer Science is and…

  6. PREPARING FOR EXASCALE: ORNL Leadership Computing Application Requirements and Strategy

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Joubert, Wayne; Kothe, Douglas B; Nam, Hai Ah

    2009-12-01

    In 2009 the Oak Ridge Leadership Computing Facility (OLCF), a U.S. Department of Energy (DOE) facility at the Oak Ridge National Laboratory (ORNL) National Center for Computational Sciences (NCCS), elicited petascale computational science requirements from leading computational scientists in the international science community. This effort targeted science teams whose projects received large computer allocation awards on OLCF systems. A clear finding of this process was that in order to reach their science goals over the next several years, multiple projects will require computational resources in excess of an order of magnitude more powerful than those currently available. Additionally, for themore » longer term, next-generation science will require computing platforms of exascale capability in order to reach DOE science objectives over the next decade. It is generally recognized that achieving exascale in the proposed time frame will require disruptive changes in computer hardware and software. Processor hardware will become necessarily heterogeneous and will include accelerator technologies. Software must undergo the concomitant changes needed to extract the available performance from this heterogeneous hardware. This disruption portends to be substantial, not unlike the change to the message passing paradigm in the computational science community over 20 years ago. Since technological disruptions take time to assimilate, we must aggressively embark on this course of change now, to insure that science applications and their underlying programming models are mature and ready when exascale computing arrives. This includes initiation of application readiness efforts to adapt existing codes to heterogeneous architectures, support of relevant software tools, and procurement of next-generation hardware testbeds for porting and testing codes. The 2009 OLCF requirements process identified numerous actions necessary to meet this challenge: (1) Hardware capabilities must be advanced on multiple fronts, including peak flops, node memory capacity, interconnect latency, interconnect bandwidth, and memory bandwidth. (2) Effective parallel programming interfaces must be developed to exploit the power of emerging hardware. (3) Science application teams must now begin to adapt and reformulate application codes to the new hardware and software, typified by hierarchical and disparate layers of compute, memory and concurrency. (4) Algorithm research must be realigned to exploit this hierarchy. (5) When possible, mathematical libraries must be used to encapsulate the required operations in an efficient and useful way. (6) Software tools must be developed to make the new hardware more usable. (7) Science application software must be improved to cope with the increasing complexity of computing systems. (8) Data management efforts must be readied for the larger quantities of data generated by larger, more accurate science models. Requirements elicitation, analysis, validation, and management comprise a difficult and inexact process, particularly in periods of technological change. Nonetheless, the OLCF requirements modeling process is becoming increasingly quantitative and actionable, as the process becomes more developed and mature, and the process this year has identified clear and concrete steps to be taken. This report discloses (1) the fundamental science case driving the need for the next generation of computer hardware, (2) application usage trends that illustrate the science need, (3) application performance characteristics that drive the need for increased hardware capabilities, (4) resource and process requirements that make the development and deployment of science applications on next-generation hardware successful, and (5) summary recommendations for the required next steps within the computer and computational science communities.« less

  7. Using the Tower of Hanoi puzzle to infuse your mathematics classroom with computer science concepts

    NASA Astrophysics Data System (ADS)

    Marzocchi, Alison S.

    2016-07-01

    This article suggests that logic puzzles, such as the well-known Tower of Hanoi puzzle, can be used to introduce computer science concepts to mathematics students of all ages. Mathematics teachers introduce their students to computer science concepts that are enacted spontaneously and subconsciously throughout the solution to the Tower of Hanoi puzzle. These concepts include, but are not limited to, conditionals, iteration, and recursion. Lessons, such as the one proposed in this article, are easily implementable in mathematics classrooms and extracurricular programmes as they are good candidates for 'drop in' lessons that do not need to fit into any particular place in the typical curriculum sequence. As an example for readers, the author describes how she used the puzzle in her own Number Sense and Logic course during the federally funded Upward Bound Math/Science summer programme for college-intending low-income high school students. The article explains each computer science term with real-life and mathematical examples, applies each term to the Tower of Hanoi puzzle solution, and describes how students connected the terms to their own solutions of the puzzle. It is timely and important to expose mathematics students to computer science concepts. Given the rate at which technology is currently advancing, and our increased dependence on technology in our daily lives, it has become more important than ever for children to be exposed to computer science. Yet, despite the importance of exposing today's children to computer science, many children are not given adequate opportunity to learn computer science in schools. In the United States, for example, most students finish high school without ever taking a computing course. Mathematics lessons, such as the one described in this article, can help to make computer science more accessible to students who may have otherwise had little opportunity to be introduced to these increasingly important concepts.

  8. Utilization of computer technology by science teachers in public high schools and the impact of standardized testing

    NASA Astrophysics Data System (ADS)

    Priest, Richard Harding

    A significant percentage of high school science teachers are not using computers to teach their students or prepare them for standardized testing. A survey of high school science teachers was conducted to determine how they are having students use computers in the classroom, why science teachers are not using computers in the classroom, which variables were relevant to their not using computers, and what are the effects of standardized testing on the use of technology in the high school science classroom. A self-administered questionnaire was developed to measure these aspects of computer integration and demographic information. A follow-up telephone interview survey of a portion of the original sample was conducted in order to clarify questions, correct misunderstandings, and to draw out more holistic descriptions from the subjects. The primary method used to analyze the quantitative data was frequency distributions. Multiple regression analysis was used to investigate the relationships between the barriers and facilitators and the dimensions of instructional use, frequency, and importance of the use of computers. All high school science teachers in a large urban/suburban school district were sent surveys. A response rate of 58% resulted from two mailings of the survey. It was found that contributing factors to why science teachers do not use computers were not enough up-to-date computers in their classrooms and other educational commitments and duties do not leave them enough time to prepare lessons that include technology. While a high percentage of science teachers thought their school and district administrations were supportive of technology, they also believed more inservice technology training and follow-up activities to support that training are needed and more software needs to be created. The majority of the science teachers do not use the computer to help students prepare for standardized tests because they believe they can prepare students more efficiently without a computer. Nearly half of the teachers, however, gave lack of time to prepare instructional materials and lack of a means to project a computer image to the whole class as reasons they do not use computers. A significant percentage thought science standardized testing was having a negative effect on computer use.

  9. Educational NASA Computational and Scientific Studies (enCOMPASS)

    NASA Technical Reports Server (NTRS)

    Memarsadeghi, Nargess

    2013-01-01

    Educational NASA Computational and Scientific Studies (enCOMPASS) is an educational project of NASA Goddard Space Flight Center aimed at bridging the gap between computational objectives and needs of NASA's scientific research, missions, and projects, and academia's latest advances in applied mathematics and computer science. enCOMPASS achieves this goal via bidirectional collaboration and communication between NASA and academia. Using developed NASA Computational Case Studies in university computer science/engineering and applied mathematics classes is a way of addressing NASA's goals of contributing to the Science, Technology, Education, and Math (STEM) National Objective. The enCOMPASS Web site at http://encompass.gsfc.nasa.gov provides additional information. There are currently nine enCOMPASS case studies developed in areas of earth sciences, planetary sciences, and astrophysics. Some of these case studies have been published in AIP and IEEE's Computing in Science and Engineering magazines. A few university professors have used enCOMPASS case studies in their computational classes and contributed their findings to NASA scientists. In these case studies, after introducing the science area, the specific problem, and related NASA missions, students are first asked to solve a known problem using NASA data and past approaches used and often published in a scientific/research paper. Then, after learning about the NASA application and related computational tools and approaches for solving the proposed problem, students are given a harder problem as a challenge for them to research and develop solutions for. This project provides a model for NASA scientists and engineers on one side, and university students, faculty, and researchers in computer science and applied mathematics on the other side, to learn from each other's areas of work, computational needs and solutions, and the latest advances in research and development. This innovation takes NASA science and engineering applications to computer science and applied mathematics university classes, and makes NASA objectives part of the university curricula. There is great potential for growth and return on investment of this program to the point where every major university in the U.S. would use at least one of these case studies in one of their computational courses, and where every NASA scientist and engineer facing a computational challenge (without having resources or expertise to solve it) would use enCOMPASS to formulate the problem as a case study, provide it to a university, and get back their solutions and ideas.

  10. Research in progress and other activities of the Institute for Computer Applications in Science and Engineering

    NASA Technical Reports Server (NTRS)

    1993-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics and computer science during the period April 1, 1993 through September 30, 1993. The major categories of the current ICASE research program are: (1) applied and numerical mathematics, including numerical analysis and algorithm development; (2) theoretical and computational research in fluid mechanics in selected areas of interest to LaRC, including acoustic and combustion; (3) experimental research in transition and turbulence and aerodynamics involving LaRC facilities and scientists; and (4) computer science.

  11. Research in progress in applied mathematics, numerical analysis, fluid mechanics, and computer science

    NASA Technical Reports Server (NTRS)

    1994-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, fluid mechanics, and computer science during the period October 1, 1993 through March 31, 1994. The major categories of the current ICASE research program are: (1) applied and numerical mathematics, including numerical analysis and algorithm development; (2) theoretical and computational research in fluid mechanics in selected areas of interest to LaRC, including acoustics and combustion; (3) experimental research in transition and turbulence and aerodynamics involving LaRC facilities and scientists; and (4) computer science.

  12. Using evolutionary computations to understand the design and evolution of gene and cell regulatory networks.

    PubMed

    Spirov, Alexander; Holloway, David

    2013-07-15

    This paper surveys modeling approaches for studying the evolution of gene regulatory networks (GRNs). Modeling of the design or 'wiring' of GRNs has become increasingly common in developmental and medical biology, as a means of quantifying gene-gene interactions, the response to perturbations, and the overall dynamic motifs of networks. Drawing from developments in GRN 'design' modeling, a number of groups are now using simulations to study how GRNs evolve, both for comparative genomics and to uncover general principles of evolutionary processes. Such work can generally be termed evolution in silico. Complementary to these biologically-focused approaches, a now well-established field of computer science is Evolutionary Computations (ECs), in which highly efficient optimization techniques are inspired from evolutionary principles. In surveying biological simulation approaches, we discuss the considerations that must be taken with respect to: (a) the precision and completeness of the data (e.g. are the simulations for very close matches to anatomical data, or are they for more general exploration of evolutionary principles); (b) the level of detail to model (we proceed from 'coarse-grained' evolution of simple gene-gene interactions to 'fine-grained' evolution at the DNA sequence level); (c) to what degree is it important to include the genome's cellular context; and (d) the efficiency of computation. With respect to the latter, we argue that developments in computer science EC offer the means to perform more complete simulation searches, and will lead to more comprehensive biological predictions. Copyright © 2013 Elsevier Inc. All rights reserved.

  13. Creating Science Simulations through Computational Thinking Patterns

    ERIC Educational Resources Information Center

    Basawapatna, Ashok Ram

    2012-01-01

    Computational thinking aims to outline fundamental skills from computer science that everyone should learn. As currently defined, with help from the National Science Foundation (NSF), these skills include problem formulation, logically organizing data, automating solutions through algorithmic thinking, and representing data through abstraction.…

  14. 77 FR 65417 - Proposal Review Panel for Computing Communication Foundations; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-26

    ...: To assess the progress of the EIC Award, ``Collaborative Research: Computational Behavioral Science... NATIONAL SCIENCE FOUNDATION Proposal Review Panel for Computing Communication Foundations; Notice... National Science Foundation announces the following meeting: Name: Site Visit, Proposal Panel Review for...

  15. Crosscut report: Exascale Requirements Reviews, March 9–10, 2017 – Tysons Corner, Virginia. An Office of Science review sponsored by: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gerber, Richard; Hack, James; Riley, Katherine

    The mission of the U.S. Department of Energy Office of Science (DOE SC) is the delivery of scientific discoveries and major scientific tools to transform our understanding of nature and to advance the energy, economic, and national security missions of the United States. To achieve these goals in today’s world requires investments in not only the traditional scientific endeavors of theory and experiment, but also in computational science and the facilities that support large-scale simulation and data analysis. The Advanced Scientific Computing Research (ASCR) program addresses these challenges in the Office of Science. ASCR’s mission is to discover, develop, andmore » deploy computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to DOE. ASCR supports research in computational science, three high-performance computing (HPC) facilities — the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory and Leadership Computing Facilities at Argonne (ALCF) and Oak Ridge (OLCF) National Laboratories — and the Energy Sciences Network (ESnet) at Berkeley Lab. ASCR is guided by science needs as it develops research programs, computers, and networks at the leading edge of technologies. As we approach the era of exascale computing, technology changes are creating challenges for science programs in SC for those who need to use high performance computing and data systems effectively. Numerous significant modifications to today’s tools and techniques will be needed to realize the full potential of emerging computing systems and other novel computing architectures. To assess these needs and challenges, ASCR held a series of Exascale Requirements Reviews in 2015–2017, one with each of the six SC program offices,1 and a subsequent Crosscut Review that sought to integrate the findings from each. Participants at the reviews were drawn from the communities of leading domain scientists, experts in computer science and applied mathematics, ASCR facility staff, and DOE program managers in ASCR and the respective program offices. The purpose of these reviews was to identify mission-critical scientific problems within the DOE Office of Science (including experimental facilities) and determine the requirements for the exascale ecosystem that would be needed to address those challenges. The exascale ecosystem includes exascale computing systems, high-end data capabilities, efficient software at scale, libraries, tools, and other capabilities. This effort will contribute to the development of a strategic roadmap for ASCR compute and data facility investments and will help the ASCR Facility Division establish partnerships with Office of Science stakeholders. It will also inform the Office of Science research needs and agenda. The results of the six reviews have been published in reports available on the web at http://exascaleage.org/. This report presents a summary of the individual reports and of common and crosscutting findings, and it identifies opportunities for productive collaborations among the DOE SC program offices.« less

  16. High School Students Learning University Level Computer Science on the Web: A Case Study of the "DASK"-Model

    ERIC Educational Resources Information Center

    Grandell, Linda

    2005-01-01

    Computer science is becoming increasingly important in our society. Meta skills, such as problem solving and logical and algorithmic thinking, are emphasized in every field, not only in the natural sciences. Still, largely due to gaps in tuition, common misunderstandings exist about the true nature of computer science. These are especially…

  17. Non-parallel processing: Gendered attrition in academic computer science

    NASA Astrophysics Data System (ADS)

    Cohoon, Joanne Louise Mcgrath

    2000-10-01

    This dissertation addresses the issue of disproportionate female attrition from computer science as an instance of gender segregation in higher education. By adopting a theoretical framework from organizational sociology, it demonstrates that the characteristics and processes of computer science departments strongly influence female retention. The empirical data identifies conditions under which women are retained in the computer science major at comparable rates to men. The research for this dissertation began with interviews of students, faculty, and chairpersons from five computer science departments. These exploratory interviews led to a survey of faculty and chairpersons at computer science and biology departments in Virginia. The data from these surveys are used in comparisons of the computer science and biology disciplines, and for statistical analyses that identify which departmental characteristics promote equal attrition for male and female undergraduates in computer science. This three-pronged methodological approach of interviews, discipline comparisons, and statistical analyses shows that departmental variation in gendered attrition rates can be explained largely by access to opportunity, relative numbers, and other characteristics of the learning environment. Using these concepts, this research identifies nine factors that affect the differential attrition of women from CS departments. These factors are: (1) The gender composition of enrolled students and faculty; (2) Faculty turnover; (3) Institutional support for the department; (4) Preferential attitudes toward female students; (5) Mentoring and supervising by faculty; (6) The local job market, starting salaries, and competitiveness of graduates; (7) Emphasis on teaching; and (8) Joint efforts for student success. This work contributes to our understanding of the gender segregation process in higher education. In addition, it contributes information that can lead to effective solutions for an economically significant issue in modern American society---gender equality in computer science.

  18. Report on Computing and Networking in the Space Science Laboratory by the SSL Computer Committee

    NASA Technical Reports Server (NTRS)

    Gallagher, D. L. (Editor)

    1993-01-01

    The Space Science Laboratory (SSL) at Marshall Space Flight Center is a multiprogram facility. Scientific research is conducted in four discipline areas: earth science and applications, solar-terrestrial physics, astrophysics, and microgravity science and applications. Representatives from each of these discipline areas participate in a Laboratory computer requirements committee, which developed this document. The purpose is to establish and discuss Laboratory objectives for computing and networking in support of science. The purpose is also to lay the foundation for a collective, multiprogram approach to providing these services. Special recognition is given to the importance of the national and international efforts of our research communities toward the development of interoperable, network-based computer applications.

  19. A review of Computer Science resources for learning and teaching with K-12 computing curricula: an Australian case study

    NASA Astrophysics Data System (ADS)

    Falkner, Katrina; Vivian, Rebecca

    2015-10-01

    To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age children, with the intention to engage children and increase interest, rather than to formally teach concepts and skills. What is the educational quality of existing Computer Science resources and to what extent are they suitable for classroom learning and teaching? In this paper, an assessment framework is presented to evaluate the quality of online Computer Science resources. Further, a semi-systematic review of available online Computer Science resources was conducted to evaluate resources available for classroom learning and teaching and to identify gaps in resource availability, using the Australian curriculum as a case study analysis. The findings reveal a predominance of quality resources, however, a number of critical gaps were identified. This paper provides recommendations and guidance for the development of new and supplementary resources and future research.

  20. Ambient belonging: how stereotypical cues impact gender participation in computer science.

    PubMed

    Cheryan, Sapna; Plaut, Victoria C; Davies, Paul G; Steele, Claude M

    2009-12-01

    People can make decisions to join a group based solely on exposure to that group's physical environment. Four studies demonstrate that the gender difference in interest in computer science is influenced by exposure to environments associated with computer scientists. In Study 1, simply changing the objects in a computer science classroom from those considered stereotypical of computer science (e.g., Star Trek poster, video games) to objects not considered stereotypical of computer science (e.g., nature poster, phone books) was sufficient to boost female undergraduates' interest in computer science to the level of their male peers. Further investigation revealed that the stereotypical broadcast a masculine stereotype that discouraged women's sense of ambient belonging and subsequent interest in the environment (Studies 2, 3, and 4) but had no similar effect on men (Studies 3, 4). This masculine stereotype prevented women's interest from developing even in environments entirely populated by other women (Study 2). Objects can thus come to broadcast stereotypes of a group, which in turn can deter people who do not identify with these stereotypes from joining that group.

  1. Debunking the Computer Science Digital Library: Lessons Learned in Collection Development at Seneca College of Applied Arts & Technology

    ERIC Educational Resources Information Center

    Buczynski, James Andrew

    2005-01-01

    Developing a library collection to support the curriculum of Canada's largest computer studies school has debunked many myths about collecting computer science and technology information resources. Computer science students are among the heaviest print book and e-book users in the library. Circulation statistics indicate that the demand for print…

  2. Snatching Defeat from the Jaws of Victory: When Good Projects Go Bad. Girls and Computer Science.

    ERIC Educational Resources Information Center

    Sanders, Jo

    In week-long semesters in the summers of 1997, 1998, and 1999, the 6APT (Summer Institute in Computer Science for Advanced Placement Teachers) project taught 240 high school teachers of Advanced Placement Computer Science (APCS) about gender equity in computers. Teachers were then followed through 2000. Results indicated that while teachers, did…

  3. 77 FR 12823 - Advanced Scientific Computing Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-02

    ... Exascale ARRA projects--Magellan final report, Advanced Networking update Status from Computer Science COV Early Career technical talks Summary of Applied Math and Computer Science Workshops ASCR's new SBIR..., Office of Science. ACTION: Notice of Open Meeting. SUMMARY: This notice announces a meeting of the...

  4. 75 FR 18407 - Investing in Innovation Fund

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-04-12

    ... include computer science rather than science. To correct this error, the Department makes the following..., in footnote number eight, in line six, ``including science'' is replaced with ``including computer... obtain this document in an accessible format (e.g., Braille, large print, audiotape, or computer diskette...

  5. Innovative Science Experiments Using Phoenix

    ERIC Educational Resources Information Center

    Kumar, B. P. Ajith; Satyanarayana, V. V. V.; Singh, Kundan; Singh, Parmanand

    2009-01-01

    A simple, flexible and very low cost hardware plus software framework for developing computer-interfaced science experiments is presented. It can be used for developing computer-interfaced science experiments without getting into the details of electronics or computer programming. For developing experiments this is a middle path between…

  6. The Metamorphosis of an Introduction to Computer Science.

    ERIC Educational Resources Information Center

    Ben-Jacob, Marion G.

    1997-01-01

    Introductory courses in computer science at colleges and universities have undergone significant changes in 20 years. This article provides an overview of the history of introductory computer science (FORTRAN, ANSI flowchart symbols, BASIC, data processing concepts, and PASCAL) and its future (robotics and C++). (PEN)

  7. All Roads Lead to Computing: Making, Participatory Simulations, and Social Computing as Pathways to Computer Science

    ERIC Educational Resources Information Center

    Brady, Corey; Orton, Kai; Weintrop, David; Anton, Gabriella; Rodriguez, Sebastian; Wilensky, Uri

    2017-01-01

    Computer science (CS) is becoming an increasingly diverse domain. This paper reports on an initiative designed to introduce underrepresented populations to computing using an eclectic, multifaceted approach. As part of a yearlong computing course, students engage in Maker activities, participatory simulations, and computing projects that…

  8. After-Hours Science: Microchips and Onion Dip.

    ERIC Educational Resources Information Center

    Brugger, Steve

    1984-01-01

    Computer programs were developed for a science center nutrition exhibit. The exhibit was recognized by the National Science Teachers Association Search for Excellence in Science Education as an outstanding science program. The computer programs (Apple II) and their use in the exhibit are described. (BC)

  9. Computing Education in Korea--Current Issues and Endeavors

    ERIC Educational Resources Information Center

    Choi, Jeongwon; An, Sangjin; Lee, Youngjun

    2015-01-01

    Computer education has been provided for a long period of time in Korea. Starting as a vocational program, the content of computer education for students evolved to include content on computer literacy, Information Communication Technology (ICT) literacy, and brand-new computer science. While a new curriculum related to computer science was…

  10. 75 FR 18492 - Investing in Innovation Fund; Correction

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-04-12

    ... those disciplines, we intended to include computer science rather than science. To correct this error... ``including computer science.'' Program Authority: Section 14007 of division A of the American Recovery and....g., braille, large print, audiotape, or computer diskette) on request to the contact listed in this...

  11. Process-Based Development of Competence Models to Computer Science Education

    ERIC Educational Resources Information Center

    Zendler, Andreas; Seitz, Cornelia; Klaudt, Dieter

    2016-01-01

    A process model ("cpm.4.CSE") is introduced that allows the development of competence models in computer science education related to curricular requirements. It includes eight subprocesses: (a) determine competence concept, (b) determine competence areas, (c) identify computer science concepts, (d) assign competence dimensions to…

  12. The Role of Physicality in Rich Programming Environments

    ERIC Educational Resources Information Center

    Liu, Allison S.; Schunn, Christian D.; Flot, Jesse; Shoop, Robin

    2013-01-01

    Computer science proficiency continues to grow in importance, while the number of students entering computer science-related fields declines. Many rich programming environments have been created to motivate student interest and expertise in computer science. In the current study, we investigated whether a recently created environment, Robot…

  13. Studies in Mathematics, Volume 22. Studies in Computer Science.

    ERIC Educational Resources Information Center

    Pollack, Seymour V., Ed.

    The nine articles in this collection were selected because they represent concerns central to computer science, emphasize topics of particular interest to mathematicians, and underscore the wide range of areas deeply and continually affected by computer science. The contents consist of: "Introduction" (S. V. Pollack), "The…

  14. Effects of a Teacher Professional Development Program on Science Teachers' Views about Using Computers in Teaching and Learning

    ERIC Educational Resources Information Center

    Çetin, Nagihan Imer

    2016-01-01

    The purpose of this study was to examine science teachers' level of using computers in teaching and the impact of a teacher professional development program (TPDP) on their views regarding utilizing computers in science education. Forty-three in-service science teachers from different regions of Turkey attended a 5 day TPDP. The TPDP was…

  15. Computational perspectives in the history of science: to the memory of Peter Damerow.

    PubMed

    Laubichler, Manfred D; Maienschein, Jane; Renn, Jürgen

    2013-03-01

    Computational methods and perspectives can transform the history of science by enabling the pursuit of novel types of questions, dramatically expanding the scale of analysis (geographically and temporally), and offering novel forms of publication that greatly enhance access and transparency. This essay presents a brief summary of a computational research system for the history of science, discussing its implications for research, education, and publication practices and its connections to the open-access movement and similar transformations in the natural and social sciences that emphasize big data. It also argues that computational approaches help to reconnect the history of science to individual scientific disciplines.

  16. Power to the People: Addressing Big Data Challenges in Neuroscience by Creating a New Cadre of Citizen Neuroscientists.

    PubMed

    Roskams, Jane; Popović, Zoran

    2016-11-02

    Global neuroscience projects are producing big data at an unprecedented rate that informatic and artificial intelligence (AI) analytics simply cannot handle. Online games, like Foldit, Eterna, and Eyewire-and now a new neuroscience game, Mozak-are fueling a people-powered research science (PPRS) revolution, creating a global community of "new experts" that over time synergize with computational efforts to accelerate scientific progress, empowering us to use our collective cerebral talents to drive our understanding of our brain. Copyright © 2016 Elsevier Inc. All rights reserved.

  17. Machine Learning Applications to Resting-State Functional MR Imaging Analysis.

    PubMed

    Billings, John M; Eder, Maxwell; Flood, William C; Dhami, Devendra Singh; Natarajan, Sriraam; Whitlow, Christopher T

    2017-11-01

    Machine learning is one of the most exciting and rapidly expanding fields within computer science. Academic and commercial research entities are investing in machine learning methods, especially in personalized medicine via patient-level classification. There is great promise that machine learning methods combined with resting state functional MR imaging will aid in diagnosis of disease and guide potential treatment for conditions thought to be impossible to identify based on imaging alone, such as psychiatric disorders. We discuss machine learning methods and explore recent advances. Copyright © 2017 Elsevier Inc. All rights reserved.

  18. Computer Instrumentation and the New Tools of Science.

    ERIC Educational Resources Information Center

    Snyder, H. David

    1990-01-01

    The impact and uses of new technologies in science teaching are discussed. Included are computers, software, sensors, integrated circuits, computer signal access, and computer interfaces. Uses and advantages of these new technologies are suggested. (CW)

  19. The impact of computer-based versus "traditional" textbook science instruction on selected student learning outcomes

    NASA Astrophysics Data System (ADS)

    Rothman, Alan H.

    This study reports the results of research designed to examine the impact of computer-based science instruction on elementary school level students' science content achievement, their attitude about science learning, their level of critical thinking-inquiry skills, and their level of cognitive and English language development. The study compared these learning outcomes resulting from a computer-based approach compared to the learning outcomes from a traditional, textbook-based approach to science instruction. The computer-based approach was inherent in a curriculum titled The Voyage of the Mimi , published by The Bank Street College Project in Science and Mathematics (1984). The study sample included 209 fifth-grade students enrolled in three schools in a suburban school district. This sample was divided into three groups, each receiving one of the following instructional treatments: (a) Mixed-instruction primarily based on the use of a hardcopy textbook in conjunction with computer-based instructional materials as one component of the science course; (b) Non-Traditional, Technology-Based -instruction fully utilizing computer-based material; and (c) Traditional, Textbook-Based-instruction utilizing only the textbook as the basis for instruction. Pre-test, or pre-treatment, data related to each of the student learning outcomes was collected at the beginning of the school year and post-test data was collected at the end of the school year. Statistical analyses of pre-test data were used as a covariate to account for possible pre-existing differences with regard to the variables examined among the three student groups. This study concluded that non-traditional, computer-based instruction in science significantly improved students' attitudes toward science learning and their level of English language development. Non-significant, positive trends were found for the following student learning outcomes: overall science achievement and development of critical thinking-inquiry skills. These conclusions support the value of a non-traditional, computer-based approach to instruction, such as exemplified by The Voyage of the Mimi curriculum, and a recommendation for reform in science teaching that has recommended the use of computer technology to enhance learning outcomes from science instruction to assist in reversing the trend toward what has been perceived to be relatively poor science performance by American students, as documented by the 1996 Third International Mathematics and Science Study (TIMSS).

  20. Programs for attracting under-represented minority students to graduate school and research careers in computational science. Final report for period October 1, 1995 - September 30, 1997

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Turner, James C. Jr.; Mason, Thomas; Guerrieri, Bruno

    1997-10-01

    Programs have been established at Florida A & M University to attract minority students to research careers in mathematics and computational science. The primary goal of the program was to increase the number of such students studying computational science via an interactive multimedia learning environment One mechanism used for meeting this goal was the development of educational modules. This academic year program established within the mathematics department at Florida A&M University, introduced students to computational science projects using high-performance computers. Additional activities were conducted during the summer, these included workshops, meetings, and lectures. Through the exposure provided by this programmore » to scientific ideas and research in computational science, it is likely that their successful applications of tools from this interdisciplinary field will be high.« less

  1. Multilinear Computing and Multilinear Algebraic Geometry

    DTIC Science & Technology

    2016-08-10

    landmark paper titled “Most tensor problems are NP-hard” (see [14] in Section 3) in the Journal of the ACM, the premier journal in Computer Science ...Higher-order cone programming,” Machine Learning Thematic Trimester, International Centre for Mathematics and Computer Science , Toulouse, France...geometry-and-data-analysis • 2014 SIMONS INSTITUTE WORKSHOP: Workshop on Tensors in Computer Science and Geometry, University of California, Berkeley, CA

  2. Computer Science and Engineering Students Addressing Critical Issues Regarding Gender Differences in Computing: A Case Study

    ERIC Educational Resources Information Center

    Tsagala, Evrikleia; Kordaki, Maria

    2008-01-01

    This study focuses on how Computer Science and Engineering Students (CSESs) of both genders address certain critical issues for gender differences in the field of Computer Science and Engineering (CSE). This case study is based on research conducted on a sample of 99 Greek CSESs, 43 of which were women. More specifically, these students were asked…

  3. The grand challenge of managing the petascale facility.

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Aiken, R. J.; Mathematics and Computer Science

    2007-02-28

    This report is the result of a study of networks and how they may need to evolve to support petascale leadership computing and science. As Dr. Ray Orbach, director of the Department of Energy's Office of Science, says in the spring 2006 issue of SciDAC Review, 'One remarkable example of growth in unexpected directions has been in high-end computation'. In the same article Dr. Michael Strayer states, 'Moore's law suggests that before the end of the next cycle of SciDAC, we shall see petaflop computers'. Given the Office of Science's strong leadership and support for petascale computing and facilities, wemore » should expect to see petaflop computers in operation in support of science before the end of the decade, and DOE/SC Advanced Scientific Computing Research programs are focused on making this a reality. This study took its lead from this strong focus on petascale computing and the networks required to support such facilities, but it grew to include almost all aspects of the DOE/SC petascale computational and experimental science facilities, all of which will face daunting challenges in managing and analyzing the voluminous amounts of data expected. In addition, trends indicate the increased coupling of unique experimental facilities with computational facilities, along with the integration of multidisciplinary datasets and high-end computing with data-intensive computing; and we can expect these trends to continue at the petascale level and beyond. Coupled with recent technology trends, they clearly indicate the need for including capability petascale storage, networks, and experiments, as well as collaboration tools and programming environments, as integral components of the Office of Science's petascale capability metafacility. The objective of this report is to recommend a new cross-cutting program to support the management of petascale science and infrastructure. The appendices of the report document current and projected DOE computation facilities, science trends, and technology trends, whose combined impact can affect the manageability and stewardship of DOE's petascale facilities. This report is not meant to be all-inclusive. Rather, the facilities, science projects, and research topics presented are to be considered examples to clarify a point.« less

  4. Theory-Guided Technology in Computer Science.

    ERIC Educational Resources Information Center

    Ben-Ari, Mordechai

    2001-01-01

    Examines the history of major achievements in computer science as portrayed by winners of the prestigious Turing award and identifies a possibly unique activity called Theory-Guided Technology (TGT). Researchers develop TGT by using theoretical results to create practical technology. Discusses reasons why TGT is practical in computer science and…

  5. Teaching Computer Science: A Problem Solving Approach that Works.

    ERIC Educational Resources Information Center

    Allan, V. H.; Kolesar, M. V.

    The typical introductory programming course is not an appropriate first computer science course for many students. Initial experiences with programming are often frustrating, resulting in a low rate of successful completion, and focus on syntax rather than providing a representative picture of computer science as a discipline. The paper discusses…

  6. Computational Science | NREL

    Science.gov Websites

    Science Photo of person viewing 3D visualization of a wind turbine The NREL Computational Science challenges in fields ranging from condensed matter physics and nonlinear dynamics to computational fluid dynamics. NREL is also home to the most energy-efficient data center in the world, featuring Peregrine-the

  7. New Pedagogies on Teaching Science with Computer Simulations

    ERIC Educational Resources Information Center

    Khan, Samia

    2011-01-01

    Teaching science with computer simulations is a complex undertaking. This case study examines how an experienced science teacher taught chemistry using computer simulations and the impact of his teaching on his students. Classroom observations over 3 semesters, teacher interviews, and student surveys were collected. The data was analyzed for (1)…

  8. Tutor Training in Computer Science: Tutor Opinions and Student Results.

    ERIC Educational Resources Information Center

    Carbone, Angela; Mitchell, Ian

    Edproj, a project team of faculty from the departments of computer science, software development and education at Monash University (Australia) investigated the quality of teaching and student learning and understanding in the computer science and software development departments. Edproj's research led to the development of a training program to…

  9. Case Studies of Liberal Arts Computer Science Programs

    ERIC Educational Resources Information Center

    Baldwin, D.; Brady, A.; Danyluk, A.; Adams, J.; Lawrence, A.

    2010-01-01

    Many undergraduate liberal arts institutions offer computer science majors. This article illustrates how quality computer science programs can be realized in a wide variety of liberal arts settings by describing and contrasting the actual programs at five liberal arts colleges: Williams College, Kalamazoo College, the State University of New York…

  10. Collaboration, Collusion and Plagiarism in Computer Science Coursework

    ERIC Educational Resources Information Center

    Fraser, Robert

    2014-01-01

    We present an overview of the nature of academic dishonesty with respect to computer science coursework. We discuss the efficacy of various policies for collaboration with regard to student education, and we consider a number of strategies for mitigating dishonest behaviour on computer science coursework by addressing some common causes. Computer…

  11. Entrepreneurial Health Informatics for Computer Science and Information Systems Students

    ERIC Educational Resources Information Center

    Lawler, James; Joseph, Anthony; Narula, Stuti

    2014-01-01

    Corporate entrepreneurship is a critical area of curricula for computer science and information systems students. Few institutions of computer science and information systems have entrepreneurship in the curricula however. This paper presents entrepreneurial health informatics as a course in a concentration of Technology Entrepreneurship at a…

  12. Assessment of Examinations in Computer Science Doctoral Education

    ERIC Educational Resources Information Center

    Straub, Jeremy

    2014-01-01

    This article surveys the examination requirements for attaining degree candidate (candidacy) status in computer science doctoral programs at all of the computer science doctoral granting institutions in the United States. It presents a framework for program examination requirement categorization, and categorizes these programs by the type or types…

  13. [Research Conducted at the Institute for Computer Applications in Science and Engineering for the Period October 1, 1999 through March 31, 2000

    NASA Technical Reports Server (NTRS)

    Bushnell, Dennis M. (Technical Monitor)

    2000-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, computer science, fluid mechanics, and structures and materials during the period October 1, 1999 through March 31, 2000.

  14. Representing, Running, and Revising Mental Models: A Computational Model

    ERIC Educational Resources Information Center

    Friedman, Scott; Forbus, Kenneth; Sherin, Bruce

    2018-01-01

    People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an important challenge for cognitive science: Building higher order computational models in this area will…

  15. Gender Digital Divide and Challenges in Undergraduate Computer Science Programs

    ERIC Educational Resources Information Center

    Stoilescu, Dorian; McDougall, Douglas

    2011-01-01

    Previous research revealed a reduced number of female students registered in computer science studies. In addition, the female students feel isolated, have reduced confidence, and underperform. This article explores differences between female and male students in undergraduate computer science programs in a mid-size university in Ontario. Based on…

  16. Classrooms Matter: The Design of Virtual Classrooms Influences Gender Disparities in Computer Science Classes

    ERIC Educational Resources Information Center

    Cheryan, Sapna; Meltzoff, Andrew N.; Kim, Saenam

    2011-01-01

    Three experiments examined whether the design of virtual learning environments influences undergraduates' enrollment intentions and anticipated success in introductory computer science courses. Changing the design of a virtual classroom--from one that conveys current computer science stereotypes to one that does not--significantly increased…

  17. Panel discussion on: 'Will computational science be able to provide answers to important problems of human society?'

    NASA Astrophysics Data System (ADS)

    Baiotti, Luca; Takabe, Hideaki

    2013-08-01

    The PDF contains the speech of journalist Atsuko Tsuji (Asahi Shimbun) with the title 'Requests and expectations for computational science' and the record of the following discussion on: 'Will computational science be able to provide answers to important problems of human society?'

  18. "Computer Science Can Feed a Lot of Dreams"

    ERIC Educational Resources Information Center

    Educational Horizons, 2014

    2014-01-01

    Pat Yongpradit is the director of education at Code.org. He leads all education efforts, including professional development and curriculum creation, and he builds relationships with school districts. Pat joined "Educational Horizons" to talk about why it is important to teach computer science--even for non-computer science teachers. This…

  19. Berkeley Lab - Materials Sciences Division

    Science.gov Websites

    Computational Study of Excited-State Phenomena in Energy Materials Center for X-ray Optics MSD Facilities Ion and Materials Physics Scattering and Instrumentation Science Centers Center for Computational Study of Sciences Centers Center for Computational Study of Excited-State Phenomena in Energy Materials Center for X

  20. Current research activities: Applied and numerical mathematics, fluid mechanics, experiments in transition and turbulence and aerodynamics, and computer science

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, fluid mechanics including fluid dynamics, acoustics, and combustion, aerodynamics, and computer science during the period 1 Apr. 1992 - 30 Sep. 1992 is summarized.

  1. Computers as learning resources in the health sciences: impact and issues.

    PubMed Central

    Ellis, L B; Hannigan, G G

    1986-01-01

    Starting with two computer terminals in 1972, the Health Sciences Learning Resources Center of the University of Minnesota Bio-Medical Library expanded its instructional facilities to ten terminals and thirty-five microcomputers by 1985. Computer use accounted for 28% of total center circulation. The impact of these resources on health sciences curricula is described and issues related to use, support, and planning are raised and discussed. Judged by their acceptance and educational value, computers are successful health sciences learning resources at the University of Minnesota. PMID:3518843

  2. Computational Science and Innovation

    NASA Astrophysics Data System (ADS)

    Dean, D. J.

    2011-09-01

    Simulations - utilizing computers to solve complicated science and engineering problems - are a key ingredient of modern science. The U.S. Department of Energy (DOE) is a world leader in the development of high-performance computing (HPC), the development of applied math and algorithms that utilize the full potential of HPC platforms, and the application of computing to science and engineering problems. An interesting general question is whether the DOE can strategically utilize its capability in simulations to advance innovation more broadly. In this article, I will argue that this is certainly possible.

  3. Applied Information Systems Research Program (AISRP). Workshop 2: Meeting Proceedings

    NASA Technical Reports Server (NTRS)

    1992-01-01

    The Earth and space science participants were able to see where the current research can be applied in their disciplines and computer science participants could see potential areas for future application of computer and information systems research. The Earth and Space Science research proposals for the High Performance Computing and Communications (HPCC) program were under evaluation. Therefore, this effort was not discussed at the AISRP Workshop. OSSA's other high priority area in computer science is scientific visualization, with the entire second day of the workshop devoted to it.

  4. Applying service learning to computer science: attracting and engaging under-represented students

    NASA Astrophysics Data System (ADS)

    Dahlberg, Teresa; Barnes, Tiffany; Buch, Kim; Bean, Karen

    2010-09-01

    This article describes a computer science course that uses service learning as a vehicle to accomplish a range of pedagogical and BPC (broadening participation in computing) goals: (1) to attract a diverse group of students and engage them in outreach to younger students to help build a diverse computer science pipeline, (2) to develop leadership and team skills using experiential techniques, and (3) to develop student attitudes associated with success and retention in computer science. First, we describe the course and how it was designed to incorporate good practice in service learning. We then report preliminary results showing a positive impact of the course on all pedagogical goals and discuss the implications of the results for broadening participation in computing.

  5. Brains--Computers--Machines: Neural Engineering in Science Classrooms

    ERIC Educational Resources Information Center

    Chudler, Eric H.; Bergsman, Kristen Clapper

    2016-01-01

    Neural engineering is an emerging field of high relevance to students, teachers, and the general public. This feature presents online resources that educators and scientists can use to introduce students to neural engineering and to integrate core ideas from the life sciences, physical sciences, social sciences, computer science, and engineering…

  6. Meta-analysis of the effectiveness of computer-based laboratory versus traditional hands-on laboratory in college and pre-college science instructions

    NASA Astrophysics Data System (ADS)

    Onuoha, Cajetan O.

    The purpose of this research study was to determine the overall effectiveness of computer-based laboratory compared with the traditional hands-on laboratory for improving students' science academic achievement and attitudes towards science subjects at the college and pre-college levels of education in the United States. Meta-analysis was used to synthesis the findings from 38 primary research studies conducted and/or reported in the United States between 1996 and 2006 that compared the effectiveness of computer-based laboratory with the traditional hands-on laboratory on measures related to science academic achievements and attitudes towards science subjects. The 38 primary research studies, with total subjects of 3,824 generated a total of 67 weighted individual effect sizes that were used in this meta-analysis. The study found that computer-based laboratory had small positive effect sizes over the traditional hands-on laboratory (ES = +0.26) on measures related to students' science academic achievements and attitudes towards science subjects (ES = +0.22). It was also found that computer-based laboratory produced more significant effects on physical science subjects compared to biological sciences (ES = +0.34, +0.17).

  7. Computer literacy for life sciences: helping the digital-era biology undergraduates face today's research.

    PubMed

    Smolinski, Tomasz G

    2010-01-01

    Computer literacy plays a critical role in today's life sciences research. Without the ability to use computers to efficiently manipulate and analyze large amounts of data resulting from biological experiments and simulations, many of the pressing questions in the life sciences could not be answered. Today's undergraduates, despite the ubiquity of computers in their lives, seem to be largely unfamiliar with how computers are being used to pursue and answer such questions. This article describes an innovative undergraduate-level course, titled Computer Literacy for Life Sciences, that aims to teach students the basics of a computerized scientific research pursuit. The purpose of the course is for students to develop a hands-on working experience in using standard computer software tools as well as computer techniques and methodologies used in life sciences research. This paper provides a detailed description of the didactical tools and assessment methods used in and outside of the classroom as well as a discussion of the lessons learned during the first installment of the course taught at Emory University in fall semester 2009.

  8. The Effect of a Computer Program Designed with Constructivist Principles for College Non-Science Majors on Understanding of Photosynthesis and Cellular Respiration

    ERIC Educational Resources Information Center

    Wielard, Valerie Michelle

    2013-01-01

    The primary objective of this project was to learn what effect a computer program would have on academic achievement and attitude toward science of college students enrolled in a biology class for non-science majors. It became apparent that the instructor also had an effect on attitudes toward science. The researcher designed a computer program,…

  9. A Heterogeneous High-Performance System for Computational and Computer Science

    DTIC Science & Technology

    2016-11-15

    Patents Submitted Patents Awarded Awards Graduate Students Names of Post Doctorates Names of Faculty Supported Names of Under Graduate students supported...team of research faculty from the departments of computer science and natural science at Bowie State University. The supercomputer is not only to...accelerated HPC systems. The supercomputer is also ideal for the research conducted in the Department of Natural Science, as research faculty work on

  10. Boom. Bust. Build.

    ERIC Educational Resources Information Center

    Kite, Vance; Park, Soonhye

    2018-01-01

    In 2006 Jeanette Wing, a professor of computer science at Carnegie Mellon University, proposed computational thinking (CT) as a literacy just as important as reading, writing, and mathematics. Wing defined CT as a set of skills and strategies computer scientists use to solve complex, computational problems (Wing 2006). The computer science and…

  11. Circus: A Replicated Procedure Call Facility

    DTIC Science & Technology

    1984-08-01

    Computer Science Laboratory, Xerox PARC, July 1082 . [24) Bruce Ja.y Nelson. Remote Procedure Ctdl. Ph.D. dissertation, Computer Science Department...t. Ph.D. dissertation, Computer Science Division, University of California, Berkeley, Xerox PARC report number CSIF 82-7, December 1082 . [30...Tandem Computers Inc. GUARDIAN Opet’ating Sy•tem Programming Mt~nulll, Volumu 1 11nd 2. C upertino, California, 1082 . [31) R. H. Thoma.s. A majority

  12. CAL-laborate: A Collaborative Publication on the Use of Computer Aided Learning for Tertiary Level Physical Sciences and Geosciences.

    ERIC Educational Resources Information Center

    Fernandez, Anne, Ed.; Sproats, Lee, Ed.; Sorensen, Stacey, Ed.

    2000-01-01

    The science community has been trying to use computers in teaching for many years. There has been much conformity in how this was to be achieved, and the wheel has been re-invented again and again as enthusiast after enthusiast has "done their bit" towards getting computers accepted. Computers are now used by science undergraduates (as well as…

  13. Teaching Bioinformatics in Concert

    PubMed Central

    Goodman, Anya L.; Dekhtyar, Alex

    2014-01-01

    Can biology students without programming skills solve problems that require computational solutions? They can if they learn to cooperate effectively with computer science students. The goal of the in-concert teaching approach is to introduce biology students to computational thinking by engaging them in collaborative projects structured around the software development process. Our approach emphasizes development of interdisciplinary communication and collaboration skills for both life science and computer science students. PMID:25411792

  14. A DDC Bibliography on Computers in Information Sciences. Volume I. Information Sciences Series.

    ERIC Educational Resources Information Center

    Defense Documentation Center, Alexandria, VA.

    The unclassified and unlimited bibliography compiles references dealing specifically with the role of computers in information sciences. The volume contains 249 annotated references grouped under two major headings: Time Shared, On-Line, and Real Time Systems, and Computer Components. The references are arranged in accesion number (AD-number)…

  15. Business Administration and Computer Science Degrees: Earnings, Job Security, and Job Satisfaction

    ERIC Educational Resources Information Center

    Mehta, Kamlesh; Uhlig, Ronald

    2017-01-01

    This paper examines the potential of business administration vs. computer science degrees in terms of earnings, job security, and job satisfaction. The paper focuses on earnings potential five years and ten years after the completion of business administration and computer science degrees. Moreover, the paper presents the income changes with…

  16. Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements

    ERIC Educational Resources Information Center

    Mostafavi, Behrooz; Barnes, Tiffany

    2017-01-01

    Deductive logic is essential to a complete understanding of computer science concepts, and is thus fundamental to computer science education. Intelligent tutoring systems with individualized instruction have been shown to increase learning gains. We seek to improve the way deductive logic is taught in computer science by developing an intelligent,…

  17. The Case for Improving U.S. Computer Science Education

    ERIC Educational Resources Information Center

    Nager, Adams; Atkinson, Robert

    2016-01-01

    Despite the growing use of computers and software in every facet of our economy, not until recently has computer science education begun to gain traction in American school systems. The current focus on improving science, technology, engineering, and mathematics (STEM) education in the U.S. School system has disregarded differences within STEM…

  18. Computer Science and the Liberal Arts: A Philosophical Examination

    ERIC Educational Resources Information Center

    Walker, Henry M.; Kelemen, Charles

    2010-01-01

    This article explores the philosophy and position of the discipline of computer science within the liberal arts, based upon a discussion of the nature of computer science and a review of the characteristics of the liberal arts. A liberal arts environment provides important opportunities for undergraduate programs, but also presents important…

  19. Arguing for Computer Science in the School Curriculum

    ERIC Educational Resources Information Center

    Fluck, Andrew; Webb, Mary; Cox, Margaret; Angeli, Charoula; Malyn-Smith, Joyce; Voogt, Joke; Zagami, Jason

    2016-01-01

    Computer science has been a discipline for some years, and its position in the school curriculum has been contested differently in several countries. This paper looks at its role in three countries to illustrate these differences. A reconsideration of computer science as a separate subject both in primary and secondary education is suggested. At…

  20. When Life and Learning Do Not Fit: Challenges of Workload and Communication in Introductory Computer Science Online

    ERIC Educational Resources Information Center

    Benda, Klara; Bruckman, Amy; Guzdial, Mark

    2012-01-01

    We present the results of an interview study investigating student experiences in two online introductory computer science courses. Our theoretical approach is situated at the intersection of two research traditions: "distance and adult education research," which tends to be sociologically oriented, and "computer science education…

  1. Investigating the Role of Student Motivation in Computer Science Education through One-on-One Tutoring

    ERIC Educational Resources Information Center

    Boyer, Kristy Elizabeth; Phillips, Robert; Wallis, Michael D.; Vouk, Mladen A.; Lester, James C.

    2009-01-01

    The majority of computer science education research to date has focused on purely cognitive student outcomes. Understanding the "motivational" states experienced by students may enhance our understanding of the computer science learning process, and may reveal important instructional interventions that could benefit student engagement and…

  2. Stateless Programming as a Motif for Teaching Computer Science

    ERIC Educational Resources Information Center

    Cohen, Avi

    2004-01-01

    With the development of XML Web Services, the Internet could become an integral part of and the basis for teaching computer science and software engineering. The approach has been applied to a university course for students studying introduction to computer science from the point of view of software development in a stateless, Internet…

  3. What Do Computer Science Students Think about Software Piracy?

    ERIC Educational Resources Information Center

    Konstantakis, Nikos I.; Palaigeorgiou, George E.; Siozos, Panos D.; Tsoukalas, Ioannis A.

    2010-01-01

    Today, software piracy is an issue of global importance. Computer science students are the future information and communication technologies professionals and it is important to study the way they approach this issue. In this article, we attempt to study attitudes, behaviours and the corresponding reasoning of computer science students in Greece…

  4. Recent Advances and Issues in Computers. Oryx Frontiers of Science Series.

    ERIC Educational Resources Information Center

    Gay, Martin K.

    Discussing recent issues in computer science, this book contains 11 chapters covering: (1) developments that have the potential for changing the way computers operate, including microprocessors, mass storage systems, and computing environments; (2) the national computational grid for high-bandwidth, high-speed collaboration among scientists, and…

  5. Computer sciences

    NASA Technical Reports Server (NTRS)

    Smith, Paul H.

    1988-01-01

    The Computer Science Program provides advanced concepts, techniques, system architectures, algorithms, and software for both space and aeronautics information sciences and computer systems. The overall goal is to provide the technical foundation within NASA for the advancement of computing technology in aerospace applications. The research program is improving the state of knowledge of fundamental aerospace computing principles and advancing computing technology in space applications such as software engineering and information extraction from data collected by scientific instruments in space. The program includes the development of special algorithms and techniques to exploit the computing power provided by high performance parallel processors and special purpose architectures. Research is being conducted in the fundamentals of data base logic and improvement techniques for producing reliable computing systems.

  6. 75 FR 15675 - Professional Research Experience Program in Chemical Science and Technology Laboratory...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-30

    ... in physics, chemistry, mathematics, computer science, or engineering. Institutions should have a 4..., mathematics, computer science, or engineering with work experiences in laboratories or other settings...-0141-01] Professional Research Experience Program in Chemical Science and Technology Laboratory...

  7. NASA Tech Briefs, August 1993. Volume 17, No. 8

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics include: Computer Graphics; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences; Books and Reports.

  8. NASA Tech Briefs, March 1993. Volume 17, No. 3

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics include: Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences;

  9. Computer Programs in Marine Science

    DTIC Science & Technology

    1976-04-01

    AD-A279 795 U.S. DEPARTMENT OF COMMERCE National Technical Information Service PB-258 082 Computer Programs in Marine Science National Ocearncgraphic...NO. 5 fo r- Computer nPrograms in ’StlrSO " Marine Science U.S. DEPARTMENT OF COMMERCE National Oceanic and AtmosPheric AdmInistration Environmental...N0,AA?76062212 I I 4. TITLE A?.’D.UBTITLE S. REPORT DATE Comnuter Progrims in Marine Science April 1976 Koy tc Oceanographic Records Documentation No

  10. A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex

    DTIC Science & Technology

    2005-12-01

    Computational Learning in the Department of Brain & Cognitive Sciences and in the Computer Science and Artificial Intelligence Laboratory at the Massachusetts...physiology and cognitive science . . . . . . . . . . . . . . . . . . . . . 67 2 CONTENTS A Appendices 68 A.1 Detailed model implementation and...physiol- ogy to cognitive science. The original model [Riesenhuber and Poggio, 1999b] made also a few predictions ranging from biophysics to psychophysics

  11. Examination and Implementation of a Proposal for a Ph.D. Program in Administrative Sciences

    DTIC Science & Technology

    1992-03-01

    Review of two proposals recently approved by the Academic Council (i.e., Computer Science and Mathematics Departments). C. SCOPE OF THE STUDY Since WWII...and through the computer age, the application of administrative science theory and methodologies from the behavioral sciences and quantitative...roles in the U.S. Navy and DoD, providing people who firmly understand the technical and organizational aspects of computer -based systems which support

  12. NASA Tech Briefs, August 1994. Volume 18, No. 8

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics covered include: Computer Hardware; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences; Books and Reports.

  13. Building place-based collaborations to develop high school students' groundwater systems knowledge and decision-making capacity

    NASA Astrophysics Data System (ADS)

    Podrasky, A.; Covitt, B. A.; Woessner, W.

    2017-12-01

    The availability of clean water to support human uses and ecological integrity has become an urgent interest for many scientists, decision makers and citizens. Likewise, as computational capabilities increasingly revolutionize and become integral to the practice of science, technology, engineering and math (STEM) disciplines, the STEM+ Computing (STEM+C) Partnerships program seeks to integrate the use of computational approaches in K-12 STEM teaching and learning. The Comp Hydro project, funded by a STEM+C grant from the National Science Foundation, brings together a diverse team of scientists, educators, professionals and citizens at sites in Arizona, Colorado, Maryland and Montana to foster water literacy, as well as computational science literacy, by integrating authentic, place- and data- based learning using physical, mathematical, computational and conceptual models. This multi-state project is currently engaging four teams of six teachers who work during two academic years with educators and scientists at each site. Teams work to develop instructional units specific to their region that integrate hydrologic science and computational modeling. The units, currently being piloted in high school earth and environmental science classes, provide a classroom context to investigate student understanding of how computation is used in Earth systems science. To develop effective science instruction that is rich in place- and data- based learning, effective collaborations between researchers, educators, scientists, professionals and citizens are crucial. In this poster, we focus on project implementation in Montana, where an instructional unit has been developed and is being tested through collaboration among University scientists, researchers and educators, high school teachers and agency and industry scientists and engineers. In particular, we discuss three characteristics of effective collaborative science education design for developing and implementing place- and data- based science education to support students in developing socio-scientific and computational literacy sufficient for making decisions about real world issues such as groundwater contamination. These characteristics include that science education experiences are real, responsive/accessible and rigorous.

  14. Enlist micros: Training science teachers to use microcomputers

    NASA Astrophysics Data System (ADS)

    Baird, William E.; Ellis, James D.; Kuerbis, Paul J.

    A National Science Foundation grant to the Biological Sciences Curriculum Study (BSCS) at The Colorado College supported the design and production of training materials to encourage literacy of science teachers in the use of microcomputers. ENLIST Micros is based on results of a national needs assessment that identified 22 compentencies needed by K-12 science teachers to use microcomputers for instruction. A writing team developed the 16-hour training program in the summer of 1985, and field-test coordinators tested it with 18 preservice or in-service groups during the 1985-86 academic year at 15 sites within the United States. The training materials consist of video programs, interactive computer disks for the Apple II series microcomputer, a training manual for participants, and a guide for the group leader. The experimental materials address major areas of educational computing: awareness, applications, implementation, evaluation, and resources. Each chapter contains activities developed for this program, such as viewing video segments of science teachers who are using computers effectively and running commercial science and training courseware. Role playing and small-group interaction help the teachers overcome their reluctance to use computers and plan for effective implementation of microcomputers in the school. This study examines the implementation of educational computing among 47 science teachers who completed the ENLIST Micros training at a southern university. We present results of formative evaluation for that site. Results indicate that both elementary and secondary teachers benefit from the training program and demonstrate gains in attitudes toward computer use. Participating teachers said that the program met its stated objectives and helped them obtain needed skills. Only 33 percent of these teachers, however, reported using computers one year after the training. In June 1986, the BSCS initiated a follow up to the ENLIST Micros curriculum to develop, evaluate, and disseminate a complete model of teacher enhancement for educational computing in the sciences. In that project, we use the ENLIST Micros curriculum as the first step in a training process. The project includes seminars that introduce additional skills: It contains provisions for sharing among participants, monitors use of computers in participants' classrooms, provides structured coaching of participants' use of computers in their classrooms, and offers planned observations of peers using computers in their science teaching.

  15. Computer Analogies: Teaching Molecular Biology and Ecology.

    ERIC Educational Resources Information Center

    Rice, Stanley; McArthur, John

    2002-01-01

    Suggests that computer science analogies can aid the understanding of gene expression, including the storage of genetic information on chromosomes. Presents a matrix of biology and computer science concepts. (DDR)

  16. Computers in Science Fiction.

    ERIC Educational Resources Information Center

    Kurland, Michael

    1984-01-01

    Science fiction writers' perceptions of the "thinking machine" are examined through a review of Baum's Oz books, Heinlein's "Beyond This Horizon," science fiction magazine articles, and works about robots including Asimov's "I, Robot." The future of computers in science fiction is discussed and suggested readings are listed. (MBR)

  17. Equal Time for Women.

    ERIC Educational Resources Information Center

    Kolata, Gina

    1984-01-01

    Examines social influences which discourage women from pursuing studies in computer science, including monopoly of computer time by boys at the high school level, sexual harassment in college, movies, and computer games. Describes some initial efforts to encourage females of all ages to study computer science. (JM)

  18. Advanced Computing for Science.

    ERIC Educational Resources Information Center

    Hut, Piet; Sussman, Gerald Jay

    1987-01-01

    Discusses some of the contributions that high-speed computing is making to the study of science. Emphasizes the use of computers in exploring complicated systems without the simplification required in traditional methods of observation and experimentation. Provides examples of computer assisted investigations in astronomy and physics. (TW)

  19. From barcoding single individuals to metabarcoding biological communities: towards an integrative approach to the study of global biodiversity.

    PubMed

    Cristescu, Melania E

    2014-10-01

    DNA-based species identification, known as barcoding, transformed the traditional approach to the study of biodiversity science. The field is transitioning from barcoding individuals to metabarcoding communities. This revolution involves new sequencing technologies, bioinformatics pipelines, computational infrastructure, and experimental designs. In this dynamic genomics landscape, metabarcoding studies remain insular and biodiversity estimates depend on the particular methods used. In this opinion article, I discuss the need for a coordinated advancement of DNA-based species identification that integrates taxonomic and barcoding information. Such an approach would facilitate access to almost 3 centuries of taxonomic knowledge and 1 decade of building repository barcodes. Conservation projects are time sensitive, research funding is becoming restricted, and informed decisions depend on our ability to embrace integrative approaches to biodiversity science. Copyright © 2014 Elsevier Ltd. All rights reserved.

  20. Cloud Computing: Virtual Clusters, Data Security, and Disaster Recovery

    NASA Astrophysics Data System (ADS)

    Hwang, Kai

    Dr. Kai Hwang is a Professor of Electrical Engineering and Computer Science and Director of Internet and Cloud Computing Lab at the Univ. of Southern California (USC). He received the Ph.D. in Electrical Engineering and Computer Science from the Univ. of California, Berkeley. Prior to joining USC, he has taught at Purdue Univ. for many years. He has also served as a visiting Chair Professor at Minnesota, Hong Kong Univ., Zhejiang Univ., and Tsinghua Univ. He has published 8 books and over 210 scientific papers in computer science/engineering.

  1. Demystifying computer science for molecular ecologists.

    PubMed

    Belcaid, Mahdi; Toonen, Robert J

    2015-06-01

    In this age of data-driven science and high-throughput biology, computational thinking is becoming an increasingly important skill for tackling both new and long-standing biological questions. However, despite its obvious importance and conspicuous integration into many areas of biology, computer science is still viewed as an obscure field that has, thus far, permeated into only a few of the biology curricula across the nation. A national survey has shown that lack of computational literacy in environmental sciences is the norm rather than the exception [Valle & Berdanier (2012) Bulletin of the Ecological Society of America, 93, 373-389]. In this article, we seek to introduce a few important concepts in computer science with the aim of providing a context-specific introduction aimed at research biologists. Our goal was to help biologists understand some of the most important mainstream computational concepts to better appreciate bioinformatics methods and trade-offs that are not obvious to the uninitiated. © 2015 John Wiley & Sons Ltd.

  2. DOE Office of Scientific and Technical Information (OSTI.GOV)

    John Wooley; Herbert S. Lin

    This study is the first comprehensive NRC study that suggests a high-level intellectual structure for Federal agencies for supporting work at the biology/computing interface. The report seeks to establish the intellectual legitimacy of a fundamentally cross-disciplinary collaboration between biologists and computer scientists. That is, while some universities are increasingly favorable to research at the intersection, life science researchers at other universities are strongly impeded in their efforts to collaborate. This report addresses these impediments and describes proven strategies for overcoming them. An important feature of the report is the use of well-documented examples that describe clearly to individuals not trainedmore » in computer science the value and usage of computing across the biological sciences, from genes and proteins to networks and pathways, from organelles to cells, and from individual organisms to populations and ecosystems. It is hoped that these examples will be useful to students in the life sciences to motivate (continued) study in computer science that will enable them to be more facile users of computing in their future biological studies.« less

  3. The future of scientific workflows

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Deelman, Ewa; Peterka, Tom; Altintas, Ilkay

    Today’s computational, experimental, and observational sciences rely on computations that involve many related tasks. The success of a scientific mission often hinges on the computer automation of these workflows. In April 2015, the US Department of Energy (DOE) invited a diverse group of domain and computer scientists from national laboratories supported by the Office of Science, the National Nuclear Security Administration, from industry, and from academia to review the workflow requirements of DOE’s science and national security missions, to assess the current state of the art in science workflows, to understand the impact of emerging extreme-scale computing systems on thosemore » workflows, and to develop requirements for automated workflow management in future and existing environments. This article is a summary of the opinions of over 50 leading researchers attending this workshop. We highlight use cases, computing systems, workflow needs and conclude by summarizing the remaining challenges this community sees that inhibit large-scale scientific workflows from becoming a mainstream tool for extreme-scale science.« less

  4. Creating a Pipeline for African American Computing Science Faculty: An Innovative Faculty/Research Mentoring Program Model

    ERIC Educational Resources Information Center

    Charleston, LaVar J.; Gilbert, Juan E.; Escobar, Barbara; Jackson, Jerlando F. L.

    2014-01-01

    African Americans represent 1.3% of all computing sciences faculty in PhD-granting departments, underscoring the severe underrepresentation of Black/African American tenure-track faculty in computing (CRA, 2012). The Future Faculty/Research Scientist Mentoring (FFRM) program, funded by the National Science Foundation, was found to be an effective…

  5. A Review of Resources for Evaluating K-12 Computer Science Education Programs

    ERIC Educational Resources Information Center

    Randolph, Justus J.; Hartikainen, Elina

    2004-01-01

    Since computer science education is a key to preparing students for a technologically-oriented future, it makes sense to have high quality resources for conducting summative and formative evaluation of those programs. This paper describes the results of a critical analysis of the resources for evaluating K-12 computer science education projects.…

  6. Cognitive Correlates of Performance in Algorithms in a Computer Science Course for High School

    ERIC Educational Resources Information Center

    Avancena, Aimee Theresa; Nishihara, Akinori

    2014-01-01

    Computer science for high school faces many challenging issues. One of these is whether the students possess the appropriate cognitive ability for learning the fundamentals of computer science. Online tests were created based on known cognitive factors and fundamental algorithms and were implemented among the second grade students in the…

  7. Computer Science Education in French Secondary Schools: Historical and Didactical Perspectives

    ERIC Educational Resources Information Center

    Baron, Georges-Louis; Drot-Delange, Beatrice; Grandbastien, Monique; Tort, Françoise

    2014-01-01

    Computer science as a school subject in France is characterized by a succession of promising starts that have not yet been transformed into perennial solutions. The main goal of this article is to analyze this complex situation from a historical perspective, and describe the current rebirth of an optional Computer Science course in the last year…

  8. Computer Science (CS) in the Compulsory Education Curriculum: Implications for Future Research

    ERIC Educational Resources Information Center

    Passey, Don

    2017-01-01

    The subject of computer science (CS) and computer science education (CSE) has relatively recently arisen as a subject for inclusion within the compulsory school curriculum. Up to this present time, a major focus of technologies in the school curriculum has in many countries been on applications of existing technologies into subject practice (both…

  9. Alice in Oman: A Study on Object-First Approaches in Computer Science Education

    ERIC Educational Resources Information Center

    Hayat, Khizar; Al-Shukaili, Naeem Ali; Sultan, Khalid

    2017-01-01

    The success of university-level education depends on the quality of underlying school education and any deficiency therein may be detrimental to a student's career. This may be more glaring with Computer Science education, given its mercurial nature. In the developing countries, the Computer Science school curricula are usually stuffed with…

  10. Encouraging More Women into Computer Science: Initiating a Single-Sex Intervention Program in Sweden.

    ERIC Educational Resources Information Center

    Brandell, Gerd; Carlsson, Svante; Eklbom, Hakan; Nord, Ann-Charlotte

    1997-01-01

    Describes the process of starting a new program in computer science and engineering that is heavily based on applied mathematics and only open to women. Emphasizes that success requires considerable interest in mathematics and curiosity about computer science among female students at the secondary level and the acceptance of the single-sex program…

  11. Computer Simulations to Support Science Instruction and Learning: A Critical Review of the Literature

    ERIC Educational Resources Information Center

    Smetana, Lara Kathleen; Bell, Randy L.

    2012-01-01

    Researchers have explored the effectiveness of computer simulations for supporting science teaching and learning during the past four decades. The purpose of this paper is to provide a comprehensive, critical review of the literature on the impact of computer simulations on science teaching and learning, with the goal of summarizing what is…

  12. Computer Literacy for Life Sciences: Helping the Digital-Era Biology Undergraduates Face Today's Research

    ERIC Educational Resources Information Center

    Smolinski, Tomasz G.

    2010-01-01

    Computer literacy plays a critical role in today's life sciences research. Without the ability to use computers to efficiently manipulate and analyze large amounts of data resulting from biological experiments and simulations, many of the pressing questions in the life sciences could not be answered. Today's undergraduates, despite the ubiquity of…

  13. Studying Computer Science in a Multidisciplinary Degree Programme: Freshman Students' Orientation, Knowledge, and Background

    ERIC Educational Resources Information Center

    Kautz, Karlheinz; Kofoed, Uffe

    2004-01-01

    Teachers at universities are facing an increasing disparity in students' prior IT knowledge and, at the same time, experience a growing disengagement of the students with regard to involvement in study activities. As computer science teachers in a joint programme in computer science and business administration, we made a number of similar…

  14. The Effect of Teacher Involvement on Student Performance in a Computer-Based Science Simulation.

    ERIC Educational Resources Information Center

    Waugh, Michael L.

    Designed to investigate whether or not science teachers can positively influence student achievement in, and attitude toward, science, this study focused on a specific teaching strategy and utilization of a computer-based simulation. The software package used in the study was the simulation, Volcanoes, by Earthware Computer Services. The sample…

  15. Introducing Molecular Life Science Students to Model Building Using Computer Simulations

    ERIC Educational Resources Information Center

    Aegerter-Wilmsen, Tinri; Kettenis, Dik; Sessink, Olivier; Hartog, Rob; Bisseling, Ton; Janssen, Fred

    2006-01-01

    Computer simulations can facilitate the building of models of natural phenomena in research, such as in the molecular life sciences. In order to introduce molecular life science students to the use of computer simulations for model building, a digital case was developed in which students build a model of a pattern formation process in…

  16. Democratizing Computer Science Knowledge: Transforming the Face of Computer Science through Public High School Education

    ERIC Educational Resources Information Center

    Ryoo, Jean J.; Margolis, Jane; Lee, Clifford H.; Sandoval, Cueponcaxochitl D. M.; Goode, Joanna

    2013-01-01

    Despite the fact that computer science (CS) is the driver of technological innovations across all disciplines and aspects of our lives, including participatory media, high school CS too commonly fails to incorporate the perspectives and concerns of low-income students of color. This article describes a partnership program -- Exploring Computer…

  17. Correlation Educational Model in Primary Education Curriculum of Mathematics and Computer Science

    ERIC Educational Resources Information Center

    Macinko Kovac, Maja; Eret, Lidija

    2012-01-01

    This article gives insight into methodical correlation model of teaching mathematics and computer science. The model shows the way in which the related areas of computer science and mathematics can be supplemented, if it transforms the way of teaching and creates a "joint" lessons. Various didactic materials are designed, in which all…

  18. Using the Tower of Hanoi Puzzle to Infuse Your Mathematics Classroom with Computer Science Concepts

    ERIC Educational Resources Information Center

    Marzocchi, Alison S.

    2016-01-01

    This article suggests that logic puzzles, such as the well-known Tower of Hanoi puzzle, can be used to introduce computer science concepts to mathematics students of all ages. Mathematics teachers introduce their students to computer science concepts that are enacted spontaneously and subconsciously throughout the solution to the Tower of Hanoi…

  19. Using Educational Computer Games in the Classroom: Science Teachers' Experiences, Attitudes, Perceptions, Concerns, and Support Needs

    ERIC Educational Resources Information Center

    An, Yun-Jo; Haynes, Linda; D'Alba, Adriana; Chumney, Frances

    2016-01-01

    Science teachers' experiences, attitudes, perceptions, concerns, and support needs related to the use of educational computer games were investigated in this study. Data were collected from an online survey, which was completed by 111 science teachers. The results showed that 73% of participants had used computer games in teaching. Participants…

  20. NASA Tech Briefs, December 1993. Volume 17, No. 12

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics covered include: High-Performance Computing; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports.

  1. [Activities of Institute for Computer Applications in Science and Engineering (ICASE)

    NASA Technical Reports Server (NTRS)

    Bushnell, Dennis M. (Technical Monitor)

    2001-01-01

    This report summarizes research conducted at ICASE in applied mathematics, fluid mechanics, computer science, and structures and material sciences during the period April 1, 2000 through September 30, 2000.

  2. NASA Tech Briefs, March 1994. Volume 18, No. 3

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics include: Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports

  3. NASA Tech Briefs, March 2000. Volume 24, No. 3

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Topics include: Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports.

  4. NASA Tech Briefs, March 1997. Volume 21, No. 3

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics: Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports.

  5. Is There Such a Thing as Gender and Ethnicity of Computing?

    ERIC Educational Resources Information Center

    Turner, Eva

    2000-01-01

    Discussion of the absence of women and minority groups in computer science and information technology focuses on a study conducted at Middlesex University (England) that investigated how gender and ethnicity connected to computing are perceived by computing science students and how this may influence their decision as future computer scientists…

  6. Computational Science in Armenia (Invited Talk)

    NASA Astrophysics Data System (ADS)

    Marandjian, H.; Shoukourian, Yu.

    This survey is devoted to the development of informatics and computer science in Armenia. The results in theoretical computer science (algebraic models, solutions to systems of general form recursive equations, the methods of coding theory, pattern recognition and image processing), constitute the theoretical basis for developing problem-solving-oriented environments. As examples can be mentioned: a synthesizer of optimized distributed recursive programs, software tools for cluster-oriented implementations of two-dimensional cellular automata, a grid-aware web interface with advanced service trading for linear algebra calculations. In the direction of solving scientific problems that require high-performance computing resources, examples of completed projects include the field of physics (parallel computing of complex quantum systems), astrophysics (Armenian virtual laboratory), biology (molecular dynamics study of human red blood cell membrane), meteorology (implementing and evaluating the Weather Research and Forecast Model for the territory of Armenia). The overview also notes that the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia has established a scientific and educational infrastructure, uniting computing clusters of scientific and educational institutions of the country and provides the scientific community with access to local and international computational resources, that is a strong support for computational science in Armenia.

  7. Implicit Theories of Creativity in Computer Science in the United States and China

    ERIC Educational Resources Information Center

    Tang, Chaoying; Baer, John; Kaufman, James C.

    2015-01-01

    To study implicit concepts of creativity in computer science in the United States and mainland China, we first asked 308 Chinese computer scientists for adjectives that would describe a creative computer scientist. Computer scientists and non-computer scientists from China (N = 1069) and the United States (N = 971) then rated how well those…

  8. Semiotics, Information Science, Documents and Computers.

    ERIC Educational Resources Information Center

    Warner, Julian

    1990-01-01

    Discusses the relationship and value of semiotics to the established domains of information science. Highlights include documentation; computer operations; the language of computing; automata theory; linguistics; speech and writing; and the written language as a unifying principle for the document and the computer. (93 references) (LRW)

  9. It takes a village: supporting inquiry- and equity-oriented computer science pedagogy through a professional learning community

    NASA Astrophysics Data System (ADS)

    Ryoo, Jean; Goode, Joanna; Margolis, Jane

    2015-10-01

    This article describes the importance that high school computer science teachers place on a teachers' professional learning community designed around an inquiry- and equity-oriented approach for broadening participation in computing. Using grounded theory to analyze four years of teacher surveys and interviews from the Exploring Computer Science (ECS) program in the Los Angeles Unified School District, this article describes how participating in professional development activities purposefully aimed at fostering a teachers' professional learning community helps ECS teachers make the transition to an inquiry-based classroom culture and break professional isolation. This professional learning community also provides experiences that challenge prevalent deficit notions and stereotypes about which students can or cannot excel in computer science.

  10. NASA Tech Briefs, February 2000. Volume 24, No. 2

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Topics covered include: Test and Measurement; Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Bio-Medical; Mathematics and Information Sciences; Computers and Peripherals.

  11. Reviews.

    ERIC Educational Resources Information Center

    Science Teacher, 1989

    1989-01-01

    Reviews seven software programs: (1) "Science Baseball: Biology" (testing a variety of topics); (2) "Wildways: Understanding Wildlife Conservation"; (3) "Earth Science Computer Test Bank"; (4) "Biology Computer Test Bank"; (5) "Computer Play & Learn Series" (a series of drill and test…

  12. Computer Simulations to Support Science Instruction and Learning: A critical review of the literature

    NASA Astrophysics Data System (ADS)

    Smetana, Lara Kathleen; Bell, Randy L.

    2012-06-01

    Researchers have explored the effectiveness of computer simulations for supporting science teaching and learning during the past four decades. The purpose of this paper is to provide a comprehensive, critical review of the literature on the impact of computer simulations on science teaching and learning, with the goal of summarizing what is currently known and providing guidance for future research. We report on the outcomes of 61 empirical studies dealing with the efficacy of, and implications for, computer simulations in science instruction. The overall findings suggest that simulations can be as effective, and in many ways more effective, than traditional (i.e. lecture-based, textbook-based and/or physical hands-on) instructional practices in promoting science content knowledge, developing process skills, and facilitating conceptual change. As with any other educational tool, the effectiveness of computer simulations is dependent upon the ways in which they are used. Thus, we outline specific research-based guidelines for best practice. Computer simulations are most effective when they (a) are used as supplements; (b) incorporate high-quality support structures; (c) encourage student reflection; and (d) promote cognitive dissonance. Used appropriately, computer simulations involve students in inquiry-based, authentic science explorations. Additionally, as educational technologies continue to evolve, advantages such as flexibility, safety, and efficiency deserve attention.

  13. NASA Tech Briefs, July 1994. Volume 18, No. 7

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics covered include: Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports

  14. NASA Tech Briefs, October 1994. Volume 18, No. 10

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics: Data Acquisition and Analysis; Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences; Books and Reports

  15. Research in progress in applied mathematics, numerical analysis, and computer science

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Research conducted at the Institute in Science and Engineering in applied mathematics, numerical analysis, and computer science is summarized. The Institute conducts unclassified basic research in applied mathematics in order to extend and improve problem solving capabilities in science and engineering, particularly in aeronautics and space.

  16. Instructional Support and Implementation Structure during Elementary Teachers' Science Education Simulation Use

    ERIC Educational Resources Information Center

    Gonczi, Amanda L.; Chiu, Jennifer L.; Maeng, Jennifer L.; Bell, Randy L.

    2016-01-01

    This investigation sought to identify patterns in elementary science teachers' computer simulation use, particularly implementation structures and instructional supports commonly employed by teachers. Data included video-recorded science lessons of 96 elementary teachers who used computer simulations in one or more science lessons. Results…

  17. Using a Computer Simulation To Teach Science Process Skills to College Biology and Elementary Education Majors.

    ERIC Educational Resources Information Center

    Lee, Aimee T.; Hairston, Rosalina V.; Thames, Rachel; Lawrence, Tonya; Herron, Sherry S.

    2002-01-01

    Describes the Lateblight computer simulation implemented in the general biology laboratory and science methods course for elementary teachers to reinforce the processes of science and allow students to engage, explore, explain, elaborate, and evaluate the methods of building concepts in science. (Author/KHR)

  18. Women in Computer Sciences.

    ERIC Educational Resources Information Center

    Rose, Clare; Menninger, Sally Ann

    The keynote address of a conference that focused on the future of women in science and engineering fields and the opportunities available to them in the computer sciences is presented. Women's education in the sciences and education and entry into the job market in these fields has steadily been increasing. Excellent employment opportunities are…

  19. Artificial Intelligence in Medical Practice: The Question to the Answer?

    PubMed

    Miller, D Douglas; Brown, Eric W

    2018-02-01

    Computer science advances and ultra-fast computing speeds find artificial intelligence (AI) broadly benefitting modern society-forecasting weather, recognizing faces, detecting fraud, and deciphering genomics. AI's future role in medical practice remains an unanswered question. Machines (computers) learn to detect patterns not decipherable using biostatistics by processing massive datasets (big data) through layered mathematical models (algorithms). Correcting algorithm mistakes (training) adds to AI predictive model confidence. AI is being successfully applied for image analysis in radiology, pathology, and dermatology, with diagnostic speed exceeding, and accuracy paralleling, medical experts. While diagnostic confidence never reaches 100%, combining machines plus physicians reliably enhances system performance. Cognitive programs are impacting medical practice by applying natural language processing to read the rapidly expanding scientific literature and collate years of diverse electronic medical records. In this and other ways, AI may optimize the care trajectory of chronic disease patients, suggest precision therapies for complex illnesses, reduce medical errors, and improve subject enrollment into clinical trials. Copyright © 2018 Elsevier Inc. All rights reserved.

  20. Experiments in Computing: A Survey

    PubMed Central

    Moisseinen, Nella

    2014-01-01

    Experiments play a central role in science. The role of experiments in computing is, however, unclear. Questions about the relevance of experiments in computing attracted little attention until the 1980s. As the discipline then saw a push towards experimental computer science, a variety of technically, theoretically, and empirically oriented views on experiments emerged. As a consequence of those debates, today's computing fields use experiments and experiment terminology in a variety of ways. This paper analyzes experimentation debates in computing. It presents five ways in which debaters have conceptualized experiments in computing: feasibility experiment, trial experiment, field experiment, comparison experiment, and controlled experiment. This paper has three aims: to clarify experiment terminology in computing; to contribute to disciplinary self-understanding of computing; and, due to computing's centrality in other fields, to promote understanding of experiments in modern science in general. PMID:24688404

  1. Experiments in computing: a survey.

    PubMed

    Tedre, Matti; Moisseinen, Nella

    2014-01-01

    Experiments play a central role in science. The role of experiments in computing is, however, unclear. Questions about the relevance of experiments in computing attracted little attention until the 1980s. As the discipline then saw a push towards experimental computer science, a variety of technically, theoretically, and empirically oriented views on experiments emerged. As a consequence of those debates, today's computing fields use experiments and experiment terminology in a variety of ways. This paper analyzes experimentation debates in computing. It presents five ways in which debaters have conceptualized experiments in computing: feasibility experiment, trial experiment, field experiment, comparison experiment, and controlled experiment. This paper has three aims: to clarify experiment terminology in computing; to contribute to disciplinary self-understanding of computing; and, due to computing's centrality in other fields, to promote understanding of experiments in modern science in general.

  2. An Analysis of Cloud Computing with Amazon Web Services for the Atmospheric Science Data Center

    NASA Astrophysics Data System (ADS)

    Gleason, J. L.; Little, M. M.

    2013-12-01

    NASA science and engineering efforts rely heavily on compute and data handling systems. The nature of NASA science data is such that it is not restricted to NASA users, instead it is widely shared across a globally distributed user community including scientists, educators, policy decision makers, and the public. Therefore NASA science computing is a candidate use case for cloud computing where compute resources are outsourced to an external vendor. Amazon Web Services (AWS) is a commercial cloud computing service developed to use excess computing capacity at Amazon, and potentially provides an alternative to costly and potentially underutilized dedicated acquisitions whenever NASA scientists or engineers require additional data processing. AWS desires to provide a simplified avenue for NASA scientists and researchers to share large, complex data sets with external partners and the public. AWS has been extensively used by JPL for a wide range of computing needs and was previously tested on a NASA Agency basis during the Nebula testing program. Its ability to support the Langley Science Directorate needs to be evaluated by integrating it with real world operational needs across NASA and the associated maturity that would come with that. The strengths and weaknesses of this architecture and its ability to support general science and engineering applications has been demonstrated during the previous testing. The Langley Office of the Chief Information Officer in partnership with the Atmospheric Sciences Data Center (ASDC) has established a pilot business interface to utilize AWS cloud computing resources on a organization and project level pay per use model. This poster discusses an effort to evaluate the feasibility of the pilot business interface from a project level perspective by specifically using a processing scenario involving the Clouds and Earth's Radiant Energy System (CERES) project.

  3. Computer Science and Technology Publications. NBS Publications List 84.

    ERIC Educational Resources Information Center

    National Bureau of Standards (DOC), Washington, DC. Inst. for Computer Sciences and Technology.

    This bibliography lists publications of the Institute for Computer Sciences and Technology of the National Bureau of Standards. Publications are listed by subject in the areas of computer security, computer networking, and automation technology. Sections list publications of: (1) current Federal Information Processing Standards; (2) computer…

  4. The Information Science Experiment System - The computer for science experiments in space

    NASA Technical Reports Server (NTRS)

    Foudriat, Edwin C.; Husson, Charles

    1989-01-01

    The concept of the Information Science Experiment System (ISES), potential experiments, and system requirements are reviewed. The ISES is conceived as a computer resource in space whose aim is to assist computer, earth, and space science experiments, to develop and demonstrate new information processing concepts, and to provide an experiment base for developing new information technology for use in space systems. The discussion covers system hardware and architecture, operating system software, the user interface, and the ground communication link.

  5. Integrating Microcomputers into Science Education. Computer Technology Program Reports to Decision Makers. Number 6, November 1985.

    ERIC Educational Resources Information Center

    Batey, Anne

    Computers are integrated into science education when they are used as the most appropriate tool or delivery system to support the goals of science education. The goals of science education can be condensed into two general areas. One area concerns the preparation of a science-literate citizenry; the second area concerns understanding the…

  6. CMSC-130 Introductory Computer Science, Lecture Notes

    DTIC Science & Technology

    1993-07-01

    Introductory Computer Science lecture notes are used in the classroom for teaching CMSC 130, an introductory computer science course , using the ...Unit Testing 2. The Syntax Of Subunits Will Be Studied In The Subsequent Course CMSC130 -5- Lecture 11 TOP-DOWN TESTING Data Processor Procedure...used in the preparation of these lecture notes: Reference Manual For The Ada Prosramming Language, ANSI/MIL-STD

  7. Scalable Game Design: A Strategy to Bring Systemic Computer Science Education to Schools through Game Design and Simulation Creation

    ERIC Educational Resources Information Center

    Repenning, Alexander; Webb, David C.; Koh, Kyu Han; Nickerson, Hilarie; Miller, Susan B.; Brand, Catharine; Her Many Horses, Ian; Basawapatna, Ashok; Gluck, Fred; Grover, Ryan; Gutierrez, Kris; Repenning, Nadia

    2015-01-01

    An educated citizenry that participates in and contributes to science technology engineering and mathematics innovation in the 21st century will require broad literacy and skills in computer science (CS). School systems will need to give increased attention to opportunities for students to engage in computational thinking and ways to promote a…

  8. Expanding Capacity and Promoting Inclusion in Introductory Computer Science: A Focus on Near-Peer Mentor Preparation and Code Review

    ERIC Educational Resources Information Center

    Pon-Barry, Heather; Packard, Becky Wai-Ling; St. John, Audrey

    2017-01-01

    A dilemma within computer science departments is developing sustainable ways to expand capacity within introductory computer science courses while remaining committed to inclusive practices. Training near-peer mentors for peer code review is one solution. This paper describes the preparation of near-peer mentors for their role, with a focus on…

  9. Computer Science Students' Attitudes towards the Use of Structured and Unstructured Discussion Forums in Fully Online Courses

    ERIC Educational Resources Information Center

    Tibi, Moanes H.

    2018-01-01

    This study aims to investigate and analyze the attitudes and opinions of computer science students at two academic colleges of education with regards to the use of structured and unstructured discussion forums in computer science courses conducted entirely online. Fifty-two students participated in two online courses. The students in each course…

  10. Towards a Versatile Tele-Education Platform for Computer Science Educators Based on the Greek School Network

    ERIC Educational Resources Information Center

    Paraskevas, Michael; Zarouchas, Thomas; Angelopoulos, Panagiotis; Perikos, Isidoros

    2013-01-01

    Now days the growing need for highly qualified computer science educators in modern educational environments is commonplace. This study examines the potential use of Greek School Network (GSN) to provide a robust and comprehensive e-training course for computer science educators in order to efficiently exploit advanced IT services and establish a…

  11. Peer Review-Based Scripted Collaboration to Support Domain-Specific and Domain-General Knowledge Acquisition in Computer Science

    ERIC Educational Resources Information Center

    Demetriadis, Stavros; Egerter, Tina; Hanisch, Frank; Fischer, Frank

    2011-01-01

    This study investigates the effectiveness of using peer review in the context of scripted collaboration to foster both domain-specific and domain-general knowledge acquisition in the computer science domain. Using a one-factor design with a script and a control condition, students worked in small groups on a series of computer science problems…

  12. Determining the Effectiveness of the 3D Alice Programming Environment at the Computer Science I Level

    ERIC Educational Resources Information Center

    Sykes, Edward R.

    2007-01-01

    Student retention in Computer Science is becoming a serious concern among Educators in many colleges and universities. Most institutions currently face a significant drop in enrollment in Computer Science. A number of different tools and strategies have emerged to address this problem (e.g., BlueJ, Karel Robot, etc.). Although these tools help to…

  13. Diagnosing Pre-Service Science Teachers' Understanding of Chemistry Concepts by Using Computer-Mediated Predict-Observe-Explain Tasks

    ERIC Educational Resources Information Center

    Sesn, Burcin Acar

    2013-01-01

    The purpose of this study was to investigate pre-service science teachers' understanding of surface tension, cohesion and adhesion forces by using computer-mediated predict-observe-explain tasks. 22 third-year pre-service science teachers participated in this study. Three computer-mediated predict-observe-explain tasks were developed and applied…

  14. Need Assessment of Computer Science and Engineering Graduates

    ERIC Educational Resources Information Center

    Surakka, Sami; Malmi, Lauri

    2005-01-01

    This case study considered the syllabus of the first and second year studies in computer science. The aim of the study was to reveal which topics covered in the syllabi were really needed during the following years of study or in working life. The program that was assessed in the study was a Masters program in computer science and engineering at a…

  15. Profiles of Motivated Self-Regulation in College Computer Science Courses: Differences in Major versus Required Non-Major Courses

    ERIC Educational Resources Information Center

    Shell, Duane F.; Soh, Leen-Kiat

    2013-01-01

    The goal of the present study was to utilize a profiling approach to understand differences in motivation and strategic self-regulation among post-secondary STEM students in major versus required non-major computer science courses. Participants were 233 students from required introductory computer science courses (194 men; 35 women; 4 unknown) at…

  16. Predicting Computer Science Ph.D. Completion: A Case Study

    ERIC Educational Resources Information Center

    Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E.

    2009-01-01

    This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…

  17. Research on Young Women in Computer Science: Promoting High Technology for Girls.

    ERIC Educational Resources Information Center

    Crombie, Gail

    When the public school system of Ontario, Canada, began offering an all-female computer science course for girls in grade 11, female enrollment in computer science increased to approximately 40%. This increased enrollment level has been maintained for 3 years. The new course's effects on girls' attitudes were examined in a survey of 184 grade 11…

  18. Sustaining and Extending the Open Science Grid: Science Innovation on a PetaScale Nationwide Facility (DE-FC02-06ER41436) SciDAC-2 Closeout Report

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Livny, Miron; Shank, James; Ernst, Michael

    Under this SciDAC-2 grant the project’s goal w a s t o stimulate new discoveries by providing scientists with effective and dependable access to an unprecedented national distributed computational facility: the Open Science Grid (OSG). We proposed to achieve this through the work of the Open Science Grid Consortium: a unique hands-on multi-disciplinary collaboration of scientists, software developers and providers of computing resources. Together the stakeholders in this consortium sustain and use a shared distributed computing environment that transforms simulation and experimental science in the US. The OSG consortium is an open collaboration that actively engages new research communities. Wemore » operate an open facility that brings together a broad spectrum of compute, storage, and networking resources and interfaces to other cyberinfrastructures, including the US XSEDE (previously TeraGrid), the European Grids for ESciencE (EGEE), as well as campus and regional grids. We leverage middleware provided by computer science groups, facility IT support organizations, and computing programs of application communities for the benefit of consortium members and the US national CI.« less

  19. Physical Computing and Its Scope--Towards a Constructionist Computer Science Curriculum with Physical Computing

    ERIC Educational Resources Information Center

    Przybylla, Mareen; Romeike, Ralf

    2014-01-01

    Physical computing covers the design and realization of interactive objects and installations and allows students to develop concrete, tangible products of the real world, which arise from the learners' imagination. This can be used in computer science education to provide students with interesting and motivating access to the different topic…

  20. Bringing Computational Thinking into the High School Science and Math Classroom

    NASA Astrophysics Data System (ADS)

    Trouille, Laura; Beheshti, E.; Horn, M.; Jona, K.; Kalogera, V.; Weintrop, D.; Wilensky, U.; University CT-STEM Project, Northwestern; University CenterTalent Development, Northwestern

    2013-01-01

    Computational thinking (for example, the thought processes involved in developing algorithmic solutions to problems that can then be automated for computation) has revolutionized the way we do science. The Next Generation Science Standards require that teachers support their students’ development of computational thinking and computational modeling skills. As a result, there is a very high demand among teachers for quality materials. Astronomy provides an abundance of opportunities to support student development of computational thinking skills. Our group has taken advantage of this to create a series of astronomy-based computational thinking lesson plans for use in typical physics, astronomy, and math high school classrooms. This project is funded by the NSF Computing Education for the 21st Century grant and is jointly led by Northwestern University’s Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), the Computer Science department, the Learning Sciences department, and the Office of STEM Education Partnerships (OSEP). I will also briefly present the online ‘Astro Adventures’ courses for middle and high school students I have developed through NU’s Center for Talent Development. The online courses take advantage of many of the amazing online astronomy enrichment materials available to the public, including a range of hands-on activities and the ability to take images with the Global Telescope Network. The course culminates with an independent computational research project.

  1. Final Technical Progress Report; Closeout Certifications; CSSV Newsletter Volume I; CSSV Newsletter Volume II; CSSV Activity Journal; CSSV Final Financial Report

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Houston, Johnny L; Geter, Kerry

    This Project?s third year of implementation in 2007-2008, the final year, as designated by Elizabeth City State University (ECSU), in cooperation with the National Association of Mathematicians (NAM) Inc., in an effort to promote research and research training programs in computational science ? scientific visualization (CSSV). A major goal of the Project was to attract the energetic and productive faculty, graduate and upper division undergraduate students of diverse ethnicities to a program that investigates science and computational science issues of long-term interest to the Department of Energy (DoE) and the nation. The breadth and depth of computational science?scientific visualization andmore » the magnitude of resources available are enormous for permitting a variety of research activities. ECSU?s Computational Science-Science Visualization Center will serve as a conduit for directing users to these enormous resources.« less

  2. Ignoring a Revolution in Military Affairs: The Need to Create a Separate Branch of the Armed Forces for Cyber Warfare

    DTIC Science & Technology

    2017-06-09

    those with talent in the computer sciences. Upon graduation from high school, computer -proficient teenagers are selected for an elite cyber force and...Arguably, the Massachusetts Institute of Technology (M.I.T.) is the premiere institution for computer science. M.I.T. graduates make, on average, $83,455...study specific to computer science and provide certification in programs like ethical hacking, cyber security, and programing. As with the other

  3. DNA-binding specificity prediction with FoldX.

    PubMed

    Nadra, Alejandro D; Serrano, Luis; Alibés, Andreu

    2011-01-01

    With the advent of Synthetic Biology, a field between basic science and applied engineering, new computational tools are needed to help scientists reach their goal, their design, optimizing resources. In this chapter, we present a simple and powerful method to either know the DNA specificity of a wild-type protein or design new specificities by using the protein design algorithm FoldX. The only basic requirement is having a good resolution structure of the complex. Protein-DNA interaction design may aid the development of new parts designed to be orthogonal, decoupled, and precise in its target. Further, it could help to fine-tune the systems in terms of specificity, discrimination, and binding constants. In the age of newly developed devices and invented systems, computer-aided engineering promises to be an invaluable tool. Copyright © 2011 Elsevier Inc. All rights reserved.

  4. Alliance for Computational Science Collaboration: HBCU Partnership at Alabama A&M University Continuing High Performance Computing Research and Education at AAMU

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Qian, Xiaoqing; Deng, Z. T.

    2009-11-10

    This is the final report for the Department of Energy (DOE) project DE-FG02-06ER25746, entitled, "Continuing High Performance Computing Research and Education at AAMU". This three-year project was started in August 15, 2006, and it was ended in August 14, 2009. The objective of this project was to enhance high performance computing research and education capabilities at Alabama A&M University (AAMU), and to train African-American and other minority students and scientists in the computational science field for eventual employment with DOE. AAMU has successfully completed all the proposed research and educational tasks. Through the support of DOE, AAMU was able tomore » provide opportunities to minority students through summer interns and DOE computational science scholarship program. In the past three years, AAMU (1). Supported three graduate research assistants in image processing for hypersonic shockwave control experiment and in computational science related area; (2). Recruited and provided full financial support for six AAMU undergraduate summer research interns to participate Research Alliance in Math and Science (RAMS) program at Oak Ridge National Lab (ORNL); (3). Awarded highly competitive 30 DOE High Performance Computing Scholarships ($1500 each) to qualified top AAMU undergraduate students in science and engineering majors; (4). Improved high performance computing laboratory at AAMU with the addition of three high performance Linux workstations; (5). Conducted image analysis for electromagnetic shockwave control experiment and computation of shockwave interactions to verify the design and operation of AAMU-Supersonic wind tunnel. The high performance computing research and education activities at AAMU created great impact to minority students. As praised by Accreditation Board for Engineering and Technology (ABET) in 2009, ?The work on high performance computing that is funded by the Department of Energy provides scholarships to undergraduate students as computational science scholars. This is a wonderful opportunity to recruit under-represented students.? Three ASEE papers were published in 2007, 2008 and 2009 proceedings of ASEE Annual Conferences, respectively. Presentations of these papers were also made at the ASEE Annual Conferences. It is very critical to continue the research and education activities.« less

  5. Reconfigurable Computing for Computational Science: A New Focus in High Performance Computing

    DTIC Science & Technology

    2006-11-01

    in the past decade. Researchers are regularly employing the power of large computing systems and parallel processing to tackle larger and more...complex problems in all of the physical sciences. For the past decade or so, most of this growth in computing power has been “free” with increased...the scientific computing community as a means to continued growth in computing capability. This paper offers a glimpse of the hardware and

  6. Computational Thinking Patterns

    ERIC Educational Resources Information Center

    Ioannidou, Andri; Bennett, Vicki; Repenning, Alexander; Koh, Kyu Han; Basawapatna, Ashok

    2011-01-01

    The iDREAMS project aims to reinvent Computer Science education in K-12 schools, by using game design and computational science for motivating and educating students through an approach we call Scalable Game Design, starting at the middle school level. In this paper we discuss the use of Computational Thinking Patterns as the basis for our…

  7. On Evaluating Human Problem Solving of Computationally Hard Problems

    ERIC Educational Resources Information Center

    Carruthers, Sarah; Stege, Ulrike

    2013-01-01

    This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…

  8. Computational Exposure Science: An Emerging Discipline to ...

    EPA Pesticide Factsheets

    Background: Computational exposure science represents a frontier of environmental science that is emerging and quickly evolving.Objectives: In this commentary, we define this burgeoning discipline, describe a framework for implementation, and review some key ongoing research elements that are advancing the science with respect to exposure to chemicals in consumer products.Discussion: The fundamental elements of computational exposure science include the development of reliable, computationally efficient predictive exposure models; the identification, acquisition, and application of data to support and evaluate these models; and generation of improved methods for extrapolating across chemicals. We describe our efforts in each of these areas and provide examples that demonstrate both progress and potential.Conclusions: Computational exposure science, linked with comparable efforts in toxicology, is ushering in a new era of risk assessment that greatly expands our ability to evaluate chemical safety and sustainability and to protect public health. The National Exposure Research Laboratory’s (NERL’s) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA’s mission to protect human health and the environment. HEASD’s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA’s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source

  9. Closing the race and gender gaps in computer science education

    NASA Astrophysics Data System (ADS)

    Robinson, John Henry

    Life in a technological society brings new paradigms and pressures to bear on education. These pressures are magnified for underrepresented students and must be addressed if they are to play a vital part in society. Educational pipelines need to be established to provide at risk students with the means and opportunity to succeed in science, technology, engineering, and mathematics (STEM) majors. STEM educational pipelines are programs consisting of components that seek to facilitate students' completion of a college degree by providing access to higher education, intervention, mentoring, support infrastructure, and programs that encourage academic success. Successes in the STEM professions mean that more educators, scientist, engineers, and researchers will be available to add diversity to the professions and to provide role models for future generations. The issues that the educational pipelines must address are improving at risk groups' perceptions and awareness of the math, science, and engineering professions. Additionally, the educational pipelines must provide intervention in math preparation, overcome gender and race socialization, and provide mentors and counseling to help students achieve better self perceptions and provide positive role models. This study was designed to explorer the underrepresentation of minorities and women in the computer science major at Rowan University through a multilayered action research methodology. The purpose of this research study was to define and understand the needs of underrepresented students in computer science, to examine current policies and enrollment data for Rowan University, to develop a historical profile of the Computer Science program from the standpoint of ethnicity and gender enrollment to ascertain trends in students' choice of computer science as a major, and an attempt to determine if raising awareness about computer science for incoming freshmen, and providing an alternate route into the computer science major will entice more women and minorities to pursue a degree in computer science at Rowan University. Finally, this study examined my espoused leadership theories and my leadership theories in use through reflective practices as I progressed through the cycles of this project. The outcomes of this study indicated a large downward trend in women enrollment in computer science and a relatively flat trend in minority enrollment. The enrollment data at Rowan University was found to follow a nationwide trend for underrepresented students' enrollment in STEM majors. The study also indicated that students' mental models are based upon their race and gender socialization and their understanding of the world and society. The mental models were shown to play a large role in the students' choice of major. Finally, a computer science pipeline was designed and piloted as part of this study in an attempt to entice more students into the major and facilitate their success. Additionally, the mental models of the participants were challenged through interactions to make them aware of what possibilities are available with a degree in computer science. The entire study was wrapped in my leadership, which was practiced and studied over the course of this work.

  10. A Microcomputer-Based Computer Science Program.

    ERIC Educational Resources Information Center

    Compeau, Larry D.

    1984-01-01

    Examines the use of the microcomputer in computer science programs as an alternative to time-sharing computers at North Country Community College. Discusses factors contributing to the program's success, security problems, outside application possibilities, and program implementation concerns. (DMM)

  11. 78 FR 79014 - Advisory Committee for Computer and Information Science and Engineering Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-27

    ... NATIONAL SCIENCE FOUNDATION Advisory Committee for Computer and Information Science and Engineering Notice of Meeting In accordance with Federal Advisory Committee Act (Pub. L. 92-463, as amended... and Information Science and Engineering (1115) DATE/TIME: January 14, 2014, 3:00 p.m. to 5:00 p.m...

  12. A Computer-Based Instrument That Identifies Common Science Misconceptions

    ERIC Educational Resources Information Center

    Larrabee, Timothy G.; Stein, Mary; Barman, Charles

    2006-01-01

    This article describes the rationale for and development of a computer-based instrument that helps identify commonly held science misconceptions. The instrument, known as the Science Beliefs Test, is a 47-item instrument that targets topics in chemistry, physics, biology, earth science, and astronomy. The use of an online data collection system…

  13. Computational Science at the Argonne Leadership Computing Facility

    NASA Astrophysics Data System (ADS)

    Romero, Nichols

    2014-03-01

    The goal of the Argonne Leadership Computing Facility (ALCF) is to extend the frontiers of science by solving problems that require innovative approaches and the largest-scale computing systems. ALCF's most powerful computer - Mira, an IBM Blue Gene/Q system - has nearly one million cores. How does one program such systems? What software tools are available? Which scientific and engineering applications are able to utilize such levels of parallelism? This talk will address these questions and describe a sampling of projects that are using ALCF systems in their research, including ones in nanoscience, materials science, and chemistry. Finally, the ways to gain access to ALCF resources will be presented. This research used resources of the Argonne Leadership Computing Facility at Argonne National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under contract DE-AC02-06CH11357.

  14. ICASE semiannual report, April 1 - September 30, 1989

    NASA Technical Reports Server (NTRS)

    1990-01-01

    The Institute conducts unclassified basic research in applied mathematics, numerical analysis, and computer science in order to extend and improve problem-solving capabilities in science and engineering, particularly in aeronautics and space. The major categories of the current Institute for Computer Applications in Science and Engineering (ICASE) research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification problems, with emphasis on effective numerical methods; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers. ICASE reports are considered to be primarily preprints of manuscripts that have been submitted to appropriate research journals or that are to appear in conference proceedings.

  15. Partly cloudy with a chance of migration: Weather, radars, and aeroecology

    USDA-ARS?s Scientific Manuscript database

    Aeroecology is an emerging scientific discipline that integrates atmospheric science, terrestrial science, geography, ecology, computer science, computational biology, and engineering to further the understanding of ecological patterns and processes. The unifying concept underlying this new transdis...

  16. NASA Tech Briefs, July 2000. Volume 24, No. 7

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Topics covered include: Data Acquisition; Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Test and Measurement; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports.

  17. Student Science Training Program in Mathematics, Physics and Computer Science. Final Report to the National Science Foundation. Artificial Intelligence Memo No. 393.

    ERIC Educational Resources Information Center

    Abelson, Harold; diSessa, Andy

    During the summer of 1976, the MIT Artificial Intelligence Laboratory sponsored a Student Science Training Program in Mathematics, Physics, and Computer Science for high ability secondary school students. This report describes, in some detail, the style of the program, the curriculum and the projects the students under-took. It is hoped that this…

  18. Perspectives and Visions of Computer Science Education in Primary and Secondary (K-12) Schools

    ERIC Educational Resources Information Center

    Hubwieser, Peter; Armoni, Michal; Giannakos, Michail N.; Mittermeir, Roland T.

    2014-01-01

    In view of the recent developments in many countries, for example, in the USA and in the UK, it appears that computer science education (CSE) in primary or secondary schools (K-12) has reached a significant turning point, shifting its focus from ICT-oriented to rigorous computer science concepts. The goal of this special issue is to offer a…

  19. Broadening Participation Not Border Protection: How Universities Can Support Women in Computer Science

    ERIC Educational Resources Information Center

    Michell, Dee; Szorenyi, Anna; Falkner, Katrina; Szabo, Claudia

    2017-01-01

    Computer science, like technology in general, is seen as a masculine field and the under-representation of women an intransigent problem. In this paper, we argue that the cultural belief in Australia that computer science is a domain for men results in many girls and women being chased away from that field as part of a border protection campaign…

  20. Optimists Have More Fun, but Do They Learn Better? On the Influence of Emotional and Social Factors on Learning Introductory Computer Science

    ERIC Educational Resources Information Center

    Bennedsen, Jens; Caspersen, Michael E.

    2008-01-01

    In order to better understand predictors of success and, when possible, improve the design of the first year computer science courses at university to increase the likelihood of success, we study a number of factors that may potentially indicate students' computer science aptitude. Based on findings in general education, we have studied the…

  1. Scaling Bulk Data Analysis with Mapreduce

    DTIC Science & Technology

    2017-09-01

    Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN COMPUTER SCIENCE from the NAVAL POSTGRADUATE SCHOOL September...2017 Approved by: Michael McCarrin Thesis Co-Advisor Marcus S. Stefanou Thesis Co-Advisor Peter J. Denning Chair, Department of Computer Science iii...98 xiii THIS PAGE INTENTIONALLY LEFT BLANK xiv List of Acronyms and Abbreviations CART Computer Analysis and Response Team DELV Distributed Environment

  2. The Relationship between Sources of Self-Efficacy in Classroom Environments and the Strength of Computer Self-Efficacy Beliefs

    ERIC Educational Resources Information Center

    Srisupawong, Yuwarat; Koul, Ravinder; Neanchaleay, Jariya; Murphy, Elizabeth; Francois, Emmanuel Jean

    2018-01-01

    Motivation and success in computer-science courses are influenced by the strength of students' self-efficacy (SE) beliefs in their learning abilities. Students with weak SE may struggle to be successful in a computer-science course. This study investigated the factors that enhance or impede the computer self-efficacy (CSE) of computer-science…

  3. A Computer Science Educational Program for Establishing an Entry Point into the Computing Community of Practice

    ERIC Educational Resources Information Center

    Haberman, Bruria; Yehezkel, Cecile

    2008-01-01

    The rapid evolvement of the computing domain has posed challenges in attempting to bridge the gap between school and the contemporary world of computing, which is related to content, learning culture, and professional norms. We believe that the interaction of high-school students who major in computer science or software engineering with leading…

  4. Articles on Practical Cybernetics. Computer-Developed Computers; Heuristics and Modern Sciences; Linguistics and Practice; Cybernetics and Moral-Ethical Considerations; and Men and Machines at the Chessboard.

    ERIC Educational Resources Information Center

    Berg, A. I.; And Others

    Five articles which were selected from a Russian language book on cybernetics and then translated are presented here. They deal with the topics of: computer-developed computers, heuristics and modern sciences, linguistics and practice, cybernetics and moral-ethical considerations, and computer chess programs. (Author/JY)

  5. Interdisciplinary research and education at the biology-engineering-computer science interface: a perspective.

    PubMed

    Tadmor, Brigitta; Tidor, Bruce

    2005-09-01

    Progress in the life sciences, including genome sequencing and high-throughput experimentation, offers an opportunity for understanding biology and medicine from a systems perspective. This 'new view', which complements the more traditional component-based approach, involves the integration of biological research with approaches from engineering disciplines and computer science. The result is more than a new set of technologies. Rather, it promises a fundamental reconceptualization of the life sciences based on the development of quantitative and predictive models to describe crucial processes. To achieve this change, learning communities are being formed at the interface of the life sciences, engineering and computer science. Through these communities, research and education will be integrated across disciplines and the challenges associated with multidisciplinary team-based science will be addressed.

  6. Teachers' Organization of Participation Structures for Teaching Science with Computer Technology

    NASA Astrophysics Data System (ADS)

    Subramaniam, Karthigeyan

    2016-08-01

    This paper describes a qualitative study that investigated the nature of the participation structures and how the participation structures were organized by four science teachers when they constructed and communicated science content in their classrooms with computer technology. Participation structures focus on the activity structures and processes in social settings like classrooms thereby providing glimpses into the complex dynamics of teacher-students interactions, configurations, and conventions during collective meaning making and knowledge creation. Data included observations, interviews, and focus group interviews. Analysis revealed that the dominant participation structure evident within participants' instruction with computer technology was ( Teacher) initiation-( Student and Teacher) response sequences-( Teacher) evaluate participation structure. Three key events characterized the how participants organized this participation structure in their classrooms: setting the stage for interactive instruction, the joint activity, and maintaining accountability. Implications include the following: (1) teacher educators need to tap into the knowledge base that underscores science teachers' learning to teach philosophies when computer technology is used in instruction. (2) Teacher educators need to emphasize the essential idea that learning and cognition is not situated within the computer technology but within the pedagogical practices, specifically the participation structures. (3) The pedagogical practices developed with the integration or with the use of computer technology underscored by the teachers' own knowledge of classroom contexts and curriculum needs to be the focus for how students learn science content with computer technology instead of just focusing on how computer technology solely supports students learning of science content.

  7. Theoretical computer science and the natural sciences

    NASA Astrophysics Data System (ADS)

    Marchal, Bruno

    2005-12-01

    I present some fundamental theorems in computer science and illustrate their relevance in Biology and Physics. I do not assume prerequisites in mathematics or computer science beyond the set N of natural numbers, functions from N to N, the use of some notational conveniences to describe functions, and at some point, a minimal amount of linear algebra and logic. I start with Cantor's transcendental proof by diagonalization of the non enumerability of the collection of functions from natural numbers to the natural numbers. I explain why this proof is not entirely convincing and show how, by restricting the notion of function in terms of discrete well defined processes, we are led to the non algorithmic enumerability of the computable functions, but also-through Church's thesis-to the algorithmic enumerability of partial computable functions. Such a notion of function constitutes, with respect to our purpose, a crucial generalization of that concept. This will make easy to justify deep and astonishing (counter-intuitive) incompleteness results about computers and similar machines. The modified Cantor diagonalization will provide a theory of concrete self-reference and I illustrate it by pointing toward an elementary theory of self-reproduction-in the Amoeba's way-and cellular self-regeneration-in the flatworm Planaria's way. To make it easier, I introduce a very simple and powerful formal system known as the Schoenfinkel-Curry combinators. I will use the combinators to illustrate in a more concrete way the notion introduced above. The combinators, thanks to their low-level fine grained design, will also make it possible to make a rough but hopefully illuminating description of the main lessons gained by the careful observation of nature, and to describe some new relations, which should exist between computer science, the science of life and the science of inert matter, once some philosophical, if not theological, hypotheses are made in the cognitive sciences. In the last section, I come back to self-reference and I give an exposition of its modal logics. This is used to show that theoretical computer science makes those “philosophical hypotheses” in theoretical cognitive science experimentally and mathematically testable.

  8. Computer Science Research at Langley

    NASA Technical Reports Server (NTRS)

    Voigt, S. J. (Editor)

    1982-01-01

    A workshop was held at Langley Research Center, November 2-5, 1981, to highlight ongoing computer science research at Langley and to identify additional areas of research based upon the computer user requirements. A panel discussion was held in each of nine application areas, and these are summarized in the proceedings. Slides presented by the invited speakers are also included. A survey of scientific, business, data reduction, and microprocessor computer users helped identify areas of focus for the workshop. Several areas of computer science which are of most concern to the Langley computer users were identified during the workshop discussions. These include graphics, distributed processing, programmer support systems and tools, database management, and numerical methods.

  9. An Overview of the Computational Physics and Methods Group at Los Alamos National Laboratory

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Baker, Randal Scott

    CCS Division was formed to strengthen the visibility and impact of computer science and computational physics research on strategic directions for the Laboratory. Both computer science and computational science are now central to scientific discovery and innovation. They have become indispensable tools for all other scientific missions at the Laboratory. CCS Division forms a bridge between external partners and Laboratory programs, bringing new ideas and technologies to bear on today’s important problems and attracting high-quality technical staff members to the Laboratory. The Computational Physics and Methods Group CCS-2 conducts methods research and develops scientific software aimed at the latest andmore » emerging HPC systems.« less

  10. PREFACE: 15th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2013)

    NASA Astrophysics Data System (ADS)

    Wang, Jianxiong

    2014-06-01

    This volume of Journal of Physics: Conference Series is dedicated to scientific contributions presented at the 15th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2013) which took place on 16-21 May 2013 at the Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China. The workshop series brings together computer science researchers and practitioners, and researchers from particle physics and related fields to explore and confront the boundaries of computing and of automatic data analysis and theoretical calculation techniques. This year's edition of the workshop brought together over 120 participants from all over the world. 18 invited speakers presented key topics on the universe in computer, Computing in Earth Sciences, multivariate data analysis, automated computation in Quantum Field Theory as well as computing and data analysis challenges in many fields. Over 70 other talks and posters presented state-of-the-art developments in the areas of the workshop's three tracks: Computing Technologies, Data Analysis Algorithms and Tools, and Computational Techniques in Theoretical Physics. The round table discussions on open-source, knowledge sharing and scientific collaboration stimulate us to think over the issue in the respective areas. ACAT 2013 was generously sponsored by the Chinese Academy of Sciences (CAS), National Natural Science Foundation of China (NFSC), Brookhaven National Laboratory in the USA (BNL), Peking University (PKU), Theoretical Physics Cernter for Science facilities of CAS (TPCSF-CAS) and Sugon. We would like to thank all the participants for their scientific contributions and for the en- thusiastic participation in all its activities of the workshop. Further information on ACAT 2013 can be found at http://acat2013.ihep.ac.cn. Professor Jianxiong Wang Institute of High Energy Physics Chinese Academy of Science Details of committees and sponsors are available in the PDF

  11. Sundials in the shade: A study of women's persistence in the first year of a computer science program in a selective university

    NASA Astrophysics Data System (ADS)

    Powell, Rita Manco

    Currently women are underrepresented in departments of computer science, making up approximately 18% of the undergraduate enrollment in selective universities. Most attrition in computer science occurs early in this major, in the freshman and sophomore years, and women drop out in disproportionately greater numbers than their male counterparts. Taking an ethnographic approach to investigating women's experiences and progress in the first year courses in the computer science major at the University of Pennsylvania, this study examined the pre-college influences that led these women to the major and the nature of their experiences in and outside of class with faculty, peers, and academic support services. This study sought an understanding of the challenges these women faced in the first year of the major with the goal of informing institutional practice about how to best support their persistence. The research reviewed for this study included patterns of leaving majors in science, math and engineering (Seymour & Hewitt 1997), the high school preparation needed to pursue math and engineering majors in college (Strenta, Elliott, Adair, Matier, & Scott, 1994), and intervention programs that have positively impacted persistence of women in computer science (Margolis & Fisher, 2002). The research method of this study employed a series of personal interviews over the course of one calendar year with fourteen first year women who had either declared on intended to declare the computer science major in the School of Engineering and Applied Science at the University of Pennsylvania. Other data sources were focus groups and personal interviews with faculty, administrators, admissions and student life professionals, teaching assistants, female graduate students, and male first year students at the University of Pennsylvania. This study found that the women in this study group came to the University of Pennsylvania with a thorough grounding in mathematics, but many either had an inadequate background in computer science, or at least perceived inadequacies in their background, which prevented them from beginning the major on an equal footing with their mostly male peers and caused some to lose confidence and consequently interest in the major. Issues also emanated from their gender-minority status in the Computer and Information Science Department, causing them to be socially isolated from their peers and further weakening their resolve to persist. These findings suggest that female first year students could benefit from multiple pathways into the major designed for students with varying degrees of prior experience with computer science. In addition, a computer science community within the department characterized by more frequent interaction and collaboration with faculty and peers could positively impact women's persistence in the major.

  12. CDM: Teaching Discrete Mathematics to Computer Science Majors

    ERIC Educational Resources Information Center

    Sutner, Klaus

    2005-01-01

    CDM, for computational discrete mathematics, is a course that attempts to teach a number of topics in discrete mathematics to computer science majors. The course abandons the classical definition-theorem-proof model, and instead relies heavily on computation as a source of motivation and also for experimentation and illustration. The emphasis on…

  13. Designing Educational Games for Computer Programming: A Holistic Framework

    ERIC Educational Resources Information Center

    Malliarakis, Christos; Satratzemi, Maya; Xinogalos, Stelios

    2014-01-01

    Computer science is continuously evolving during the past decades. This has also brought forth new knowledge that should be incorporated and new learning strategies must be adopted for the successful teaching of all sub-domains. For example, computer programming is a vital knowledge area within computer science with constantly changing curriculum…

  14. Changing a Generation's Way of Thinking: Teaching Computational Thinking through Programming

    ERIC Educational Resources Information Center

    Buitrago Flórez, Francisco; Casallas, Rubby; Hernández, Marcela; Reyes, Alejandro; Restrepo, Silvia; Danies, Giovanna

    2017-01-01

    Computational thinking (CT) uses concepts that are essential to computing and information science to solve problems, design and evaluate complex systems, and understand human reasoning and behavior. This way of thinking has important implications in computer sciences as well as in almost every other field. Therefore, we contend that CT should be…

  15. The Learning Effects of Computer Simulations in Science Education

    ERIC Educational Resources Information Center

    Rutten, Nico; van Joolingen, Wouter R.; van der Veen, Jan T.

    2012-01-01

    This article reviews the (quasi)experimental research of the past decade on the learning effects of computer simulations in science education. The focus is on two questions: how use of computer simulations can enhance traditional education, and how computer simulations are best used in order to improve learning processes and outcomes. We report on…

  16. Report of a Workshop on the Pedagogical Aspects of Computational Thinking

    ERIC Educational Resources Information Center

    National Academies Press, 2011

    2011-01-01

    In 2008, the Computer and Information Science and Engineering Directorate of the National Science Foundation asked the National Research Council (NRC) to conduct two workshops to explore the nature of computational thinking and its cognitive and educational implications. The first workshop focused on the scope and nature of computational thinking…

  17. Computational Algorithmization: Limitations in Problem Solving Skills in Computational Sciences Majors at University of Oriente

    ERIC Educational Resources Information Center

    Castillo, Antonio S.; Berenguer, Isabel A.; Sánchez, Alexander G.; Álvarez, Tomás R. R.

    2017-01-01

    This paper analyzes the results of a diagnostic study carried out with second year students of the computational sciences majors at University of Oriente, Cuba, to determine the limitations that they present in computational algorithmization. An exploratory research was developed using quantitative and qualitative methods. The results allowed…

  18. Computers and Computation. Readings from Scientific American.

    ERIC Educational Resources Information Center

    Fenichel, Robert R.; Weizenbaum, Joseph

    A collection of articles from "Scientific American" magazine has been put together at this time because the current period in computer science is one of consolidation rather than innovation. A few years ago, computer science was moving so swiftly that even the professional journals were more archival than informative; but today it is…

  19. Expanding capacity and promoting inclusion in introductory computer science: a focus on near-peer mentor preparation and code review

    NASA Astrophysics Data System (ADS)

    Pon-Barry, Heather; Packard, Becky Wai-Ling; St. John, Audrey

    2017-01-01

    A dilemma within computer science departments is developing sustainable ways to expand capacity within introductory computer science courses while remaining committed to inclusive practices. Training near-peer mentors for peer code review is one solution. This paper describes the preparation of near-peer mentors for their role, with a focus on regular, consistent feedback via peer code review and inclusive pedagogy. Introductory computer science students provided consistently high ratings of the peer mentors' knowledge, approachability, and flexibility, and credited peer mentor meetings for their strengthened self-efficacy and understanding. Peer mentors noted the value of videotaped simulations with reflection, discussions of inclusion, and the cohort's weekly practicum for improving practice. Adaptations of peer mentoring for different types of institutions are discussed. Computer science educators, with hopes of improving the recruitment and retention of underrepresented groups, can benefit from expanding their peer support infrastructure and improving the quality of peer mentor preparation.

  20. 77 FR 24538 - Advisory Committee for Computer and Information Science And Engineering; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-24

    ... Engineering; Notice of Meeting In accordance with the Federal Advisory Committee Act (Pub. L. 92- 463, as... Computer and Information Science and Engineering (1115). Date and Time: May 10, 2012 12 p.m.-5:30 p.m., May... Science and Engineering, National Science Foundation, 4201 Wilson Blvd., Suite 1105, Arlington VA 22230...

  1. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics.

    DTIC Science & Technology

    1987-10-01

    include Security Classification) Instrumentation for scientific computing in neural networks, information science, artificial intelligence, and...instrumentation grant to purchase equipment for support of research in neural networks, information science, artificail intellignece , and applied mathematics...in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics Contract AFOSR 86-0282 Principal Investigator: Stephen

  2. Pedagogy for the Connected Science Classroom: Computer Supported Collaborative Science and the Next Generation Science Standards

    ERIC Educational Resources Information Center

    Foley, Brian J.; Reveles, John M.

    2014-01-01

    The prevalence of computers in the classroom is compelling teachers to develop new instructional skills. This paper provides a theoretical perspective on an innovative pedagogical approach to science teaching that takes advantage of technology to create a connected classroom. In the connected classroom, students collaborate and share ideas in…

  3. Earth Science Informatics - Overview

    NASA Technical Reports Server (NTRS)

    Ramapriyan, H. K.

    2015-01-01

    Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes nearly 150 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies. Remote Sensing; Earth Science Informatics, Data Systems; Data Services; Metadata

  4. Features of Computerized Educational Games in Sciences of the Elementary Phase in Jordan from the Point of View of Specialists in Teaching Science and Computer Subjects

    ERIC Educational Resources Information Center

    Al Sarhan, Khaled Ali; AlZboon, Saleem Odeh; Olimat, Khalaf Mufleh; Al-Zboon, Mohammad Saleem

    2013-01-01

    The study aims at introducing the features of the computerized educational games in sciences at the elementary school in Jordan according to the specialists in teaching science and computer subjects, through answering some questions such as: What are the features of the computerized educational games in sciences at the elementary schools in Jordan…

  5. Army Science Planning and Strategy Meeting: The Fog of Cyber War

    DTIC Science & Technology

    2016-12-01

    computing , which, depending upon the situation, some refer to as a fog rather than a cloud . These seemingly disparate notions of fog merge when one...Chiang M. CYRUS: towards client- defined cloud storage. Proceedings of the Tenth European Conference on Computer Systems; 2015 Apr 21; Bordeaux...Army Science Planning and Strategy Meeting: The Fog of Cyber War by Alexander Kott and Ananthram Swami Computational and Information Sciences

  6. Ada in Introductory Computer Science Courses

    DTIC Science & Technology

    1993-01-01

    Ada by Daniel F. Stubbs and Neil W. Webre Course Objective: To introduce the students to the basic classical data structures of computer science...Introduction to Ada, Chapman & Hall, 1993, London Dale/Weems/McCormick, Programming and Problem Solving with Ada, D. C. Heath and Company, 1994, MA Feldman...Daniel F. Stubbs and Neil W. Webre - Course Objective: To introduce the students to the basic classical data structures of computer science

  7. Fusion Energy Sciences Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Fusion Energy Sciences, January 27-29, 2016, Gaithersburg, Maryland

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Chang, Choong-Seock; Greenwald, Martin; Riley, Katherine

    The additional computing power offered by the planned exascale facilities could be transformational across the spectrum of plasma and fusion research — provided that the new architectures can be efficiently applied to our problem space. The collaboration that will be required to succeed should be viewed as an opportunity to identify and exploit cross-disciplinary synergies. To assess the opportunities and requirements as part of the development of an overall strategy for computing in the exascale era, the Exascale Requirements Review meeting of the Fusion Energy Sciences (FES) community was convened January 27–29, 2016, with participation from a broad range ofmore » fusion and plasma scientists, specialists in applied mathematics and computer science, and representatives from the U.S. Department of Energy (DOE) and its major computing facilities. This report is a summary of that meeting and the preparatory activities for it and includes a wealth of detail to support the findings. Technical opportunities, requirements, and challenges are detailed in this report (and in the recent report on the Workshop on Integrated Simulation). Science applications are described, along with mathematical and computational enabling technologies. Also see http://exascaleage.org/fes/ for more information.« less

  8. Master Plan: The Introduction of Computer Science and Computer Related Instructional Programs, 1982-1985. Office of Instruction Publication Report No. 82-07.

    ERIC Educational Resources Information Center

    Veley, Victor F.; And Others

    This report presents a master plan for the development of computer science and computer-related programs at Los Angeles Trade-Technical College for 1982 through 1985. Introductory material outlines the main elements of the plan: to analyze existing computer courses, to create new courses in Laser Technology, Genetic Engineering, and Robotics; and…

  9. Insights into failed lexical retrieval from network science.

    PubMed

    Vitevitch, Michael S; Chan, Kit Ying; Goldstein, Rutherford

    2014-02-01

    Previous network analyses of the phonological lexicon (Vitevitch, 2008) observed a web-like structure that exhibited assortative mixing by degree: words with dense phonological neighborhoods tend to have as neighbors words that also have dense phonological neighborhoods, and words with sparse phonological neighborhoods tend to have as neighbors words that also have sparse phonological neighborhoods. Given the role that assortative mixing by degree plays in network resilience, we examined instances of real and simulated lexical retrieval failures in computer simulations, analysis of a slips-of-the-ear corpus, and three psycholinguistic experiments for evidence of this network characteristic in human behavior. The results of the various analyses support the hypothesis that the structure of words in the mental lexicon influences lexical processing. The implications of network science for current models of spoken word recognition, language processing, and cognitive psychology more generally are discussed. Copyright © 2013 Elsevier Inc. All rights reserved.

  10. Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner.

    PubMed

    Dupoux, Emmanuel

    2018-04-01

    Spectacular progress in the information processing sciences (machine learning, wearable sensors) promises to revolutionize the study of cognitive development. Here, we analyse the conditions under which 'reverse engineering' language development, i.e., building an effective system that mimics infant's achievements, can contribute to our scientific understanding of early language development. We argue that, on the computational side, it is important to move from toy problems to the full complexity of the learning situation, and take as input as faithful reconstructions of the sensory signals available to infants as possible. On the data side, accessible but privacy-preserving repositories of home data have to be setup. On the psycholinguistic side, specific tests have to be constructed to benchmark humans and machines at different linguistic levels. We discuss the feasibility of this approach and present an overview of current results. Copyright © 2017 Elsevier B.V. All rights reserved.

  11. Can the behavioral sciences self-correct? A social epistemic study.

    PubMed

    Romero, Felipe

    2016-12-01

    Advocates of the self-corrective thesis argue that scientific method will refute false theories and find closer approximations to the truth in the long run. I discuss a contemporary interpretation of this thesis in terms of frequentist statistics in the context of the behavioral sciences. First, I identify experimental replications and systematic aggregation of evidence (meta-analysis) as the self-corrective mechanism. Then, I present a computer simulation study of scientific communities that implement this mechanism to argue that frequentist statistics may converge upon a correct estimate or not depending on the social structure of the community that uses it. Based on this study, I argue that methodological explanations of the "replicability crisis" in psychology are limited and propose an alternative explanation in terms of biases. Finally, I conclude suggesting that scientific self-correction should be understood as an interaction effect between inference methods and social structures. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment

    EPA Science Inventory

    Background: Computational exposure science represents a frontier of environmental science that is emerging and quickly evolving.Objectives: In this commentary, we define this burgeoning discipline, describe a framework for implementation, and review some key ongoing research elem...

  13. Computing Your Way through Science.

    ERIC Educational Resources Information Center

    Allen, Denise

    1994-01-01

    Reviews three computer software programs focusing on teaching science to middle school students: (1) Encarta, a multimedia encyclopedia; (2) Gizmos and Gadgets, which allows students to explore physical science principles; and (3) BodyScope, which allows students to examine the systems of the human body. (BB)

  14. Turbulent Flow Simulation at the Exascale: Opportunities and Challenges Workshop: August 4-5, 2015, Washington, D.C.

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Sprague, Michael A.; Boldyrev, Stanislav; Fischer, Paul

    This report details the impact exascale will bring to turbulent-flow simulations in applied science and technology. The need for accurate simulation of turbulent flows is evident across the DOE applied-science and engineering portfolios, including combustion, plasma physics, nuclear-reactor physics, wind energy, and atmospheric science. The workshop brought together experts in turbulent-flow simulation, computational mathematics, and high-performance computing. Building upon previous ASCR workshops on exascale computing, participants defined a research agenda and path forward that will enable scientists and engineers to continually leverage, engage, and direct advances in computational systems on the path to exascale computing.

  15. SANs and Large Scale Data Migration at the NASA Center for Computational Sciences

    NASA Technical Reports Server (NTRS)

    Salmon, Ellen M.

    2004-01-01

    Evolution and migration are a way of life for provisioners of high-performance mass storage systems that serve high-end computers used by climate and Earth and space science researchers: the compute engines come and go, but the data remains. At the NASA Center for Computational Sciences (NCCS), disk and tape SANs are deployed to provide high-speed I/O for the compute engines and the hierarchical storage management systems. Along with gigabit Ethernet, they also enable the NCCS's latest significant migration: the transparent transfer of 300 Til3 of legacy HSM data into the new Sun SAM-QFS cluster.

  16. The Montage architecture for grid-enabled science processing of large, distributed datasets

    NASA Technical Reports Server (NTRS)

    Jacob, Joseph C.; Katz, Daniel S .; Prince, Thomas; Berriman, Bruce G.; Good, John C.; Laity, Anastasia C.; Deelman, Ewa; Singh, Gurmeet; Su, Mei-Hui

    2004-01-01

    Montage is an Earth Science Technology Office (ESTO) Computational Technologies (CT) Round III Grand Challenge investigation to deploy a portable, compute-intensive, custom astronomical image mosaicking service for the National Virtual Observatory (NVO). Although Montage is developing a compute- and data-intensive service for the astronomy community, we are also helping to address a problem that spans both Earth and Space science, namely how to efficiently access and process multi-terabyte, distributed datasets. In both communities, the datasets are massive, and are stored in distributed archives that are, in most cases, remote from the available Computational resources. Therefore, state of the art computational grid technologies are a key element of the Montage portal architecture. This paper describes the aspects of the Montage design that are applicable to both the Earth and Space science communities.

  17. Unclassified Computing Capability: User Responses to a Multiprogrammatic and Institutional Computing Questionnaire

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    McCoy, M; Kissel, L

    2002-01-29

    We are experimenting with a new computing model to be applied to a new computer dedicated to that model. Several LLNL science teams now have computational requirements, evidenced by the mature scientific applications that have been developed over the past five plus years, that far exceed the capability of the institution's computing resources. Thus, there is increased demand for dedicated, powerful parallel computational systems. Computation can, in the coming year, potentially field a capability system that is low cost because it will be based on a model that employs open source software and because it will use PC (IA32-P4) hardware.more » This incurs significant computer science risk regarding stability and system features but also presents great opportunity. We believe the risks can be managed, but the existence of risk cannot be ignored. In order to justify the budget for this system, we need to make the case that it serves science and, through serving science, serves the institution. That is the point of the meeting and the White Paper that we are proposing to prepare. The questions are listed and the responses received are in this report.« less

  18. Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Potok, Thomas; Schuman, Catherine; Patton, Robert

    The White House and Department of Energy have been instrumental in driving the development of a neuromorphic computing program to help the United States continue its lead in basic research into (1) Beyond Exascale—high performance computing beyond Moore’s Law and von Neumann architectures, (2) Scientific Discovery—new paradigms for understanding increasingly large and complex scientific data, and (3) Emerging Architectures—assessing the potential of neuromorphic and quantum architectures. Neuromorphic computing spans a broad range of scientific disciplines from materials science to devices, to computer science, to neuroscience, all of which are required to solve the neuromorphic computing grand challenge. In our workshopmore » we focus on the computer science aspects, specifically from a neuromorphic device through an application. Neuromorphic devices present a very different paradigm to the computer science community from traditional von Neumann architectures, which raises six major questions about building a neuromorphic application from the device level. We used these fundamental questions to organize the workshop program and to direct the workshop panels and discussions. From the white papers, presentations, panels, and discussions, there emerged several recommendations on how to proceed.« less

  19. Impact of Interdisciplinary Undergraduate Research in Mathematics and Biology on the Development of a New Course Integrating Five STEM Disciplines

    PubMed Central

    Caudill, Lester; Hill, April; Lipan, Ovidiu

    2010-01-01

    Funded by innovative programs at the National Science Foundation and the Howard Hughes Medical Institute, University of Richmond faculty in biology, chemistry, mathematics, physics, and computer science teamed up to offer first- and second-year students the opportunity to contribute to vibrant, interdisciplinary research projects. The result was not only good science but also good science that motivated and informed course development. Here, we describe four recent undergraduate research projects involving students and faculty in biology, physics, mathematics, and computer science and how each contributed in significant ways to the conception and implementation of our new Integrated Quantitative Science course, a course for first-year students that integrates the material in the first course of the major in each of biology, chemistry, mathematics, computer science, and physics. PMID:20810953

  20. Impact of Interdisciplinary Undergraduate Research in mathematics and biology on the development of a new course integrating five STEM disciplines.

    PubMed

    Caudill, Lester; Hill, April; Hoke, Kathy; Lipan, Ovidiu

    2010-01-01

    Funded by innovative programs at the National Science Foundation and the Howard Hughes Medical Institute, University of Richmond faculty in biology, chemistry, mathematics, physics, and computer science teamed up to offer first- and second-year students the opportunity to contribute to vibrant, interdisciplinary research projects. The result was not only good science but also good science that motivated and informed course development. Here, we describe four recent undergraduate research projects involving students and faculty in biology, physics, mathematics, and computer science and how each contributed in significant ways to the conception and implementation of our new Integrated Quantitative Science course, a course for first-year students that integrates the material in the first course of the major in each of biology, chemistry, mathematics, computer science, and physics.

  1. An Undergraduate Computer Science Curriculum for the Hearing Impaired.

    ERIC Educational Resources Information Center

    Perkins, A. Louise

    1995-01-01

    Presents an example section from a computer-science-integrated curriculum that was originally based on the Association of Computing Machinery (ACM) 1978 curriculum. The curriculum was designed to allow both instructors and students to move away from teaching and learning facts. (DDR)

  2. Advanced Placement Computer Science (with Pascal). Teacher's Guide. Volume 1. Second Edition.

    ERIC Educational Resources Information Center

    Farkouh, Alice; And Others

    The purpose of this guide is to give teachers and supervisors a working knowledge of various approaches to enhancing pupil learning about computer science, particularly through the use of Pascal. It contains instructional units dealing with: (1) computer components; (2) computer languages; (3) compilers; (4) essential features of a Pascal program;…

  3. It Takes a Village: Supporting Inquiry- and Equity-Oriented Computer Science Pedagogy through a Professional Learning Community

    ERIC Educational Resources Information Center

    Ryoo, Jean; Goode, Joanna; Margolis, Jane

    2015-01-01

    This article describes the importance that high school computer science teachers place on a teachers' professional learning community designed around an inquiry- and equity-oriented approach for broadening participation in computing. Using grounded theory to analyze four years of teacher surveys and interviews from the Exploring Computer Science…

  4. Computer Simulations of Quantum Theory of Hydrogen Atom for Natural Science Education Students in a Virtual Lab

    ERIC Educational Resources Information Center

    Singh, Gurmukh

    2012-01-01

    The present article is primarily targeted for the advanced college/university undergraduate students of chemistry/physics education, computational physics/chemistry, and computer science. The most recent software system such as MS Visual Studio .NET version 2010 is employed to perform computer simulations for modeling Bohr's quantum theory of…

  5. Computer Access and Computer Use for Science Performance of Racial and Linguistic Minority Students

    ERIC Educational Resources Information Center

    Chang, Mido; Kim, Sunha

    2009-01-01

    This study examined the effects of computer access and computer use on the science achievement of elementary school students, with focused attention on the effects for racial and linguistic minority students. The study used the Early Childhood Longitudinal Study (ECLS-K) database and conducted statistical analyses with proper weights and…

  6. Computer Applications in Science Education. The Illinois Series on Educational Application of Computers, No. 17e.

    ERIC Educational Resources Information Center

    Gaede, Owen F.; Singletary, Ted J.

    This paper provides a summary of information and ideas relevant to the use of computers in science education, describes a variety of uses and strategies, discusses advantages and disadvantages of specific applications, and explores the decision-making process surrounding computer instruction implementation. Uses and strategies which are described…

  7. A Study of the Programming Languages Used in Information Systems and in Computer Science Curricula

    ERIC Educational Resources Information Center

    Russell, Jack; Russell, Barbara; Pollacia, Lissa F.; Tastle, William J.

    2010-01-01

    This paper researches the computer languages taught in the first, second and third programming courses in Computer Information Systems (CIS), Management Information Systems (MIS or IS) curricula as well as in Computer Science (CS) and Information Technology (IT) curricula. Instructors teaching the first course in programming within a four year…

  8. An Overview of High Performance Computing and Challenges for the Future

    ScienceCinema

    Google Tech Talks

    2017-12-09

    In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and lgorithms are needed for the effective and reliable use of (wide area) dynamic, distributed and parallel environments. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run--time environment variability will make these problems much harder. We will focus on the redesign of software to fit multicore architectures. Speaker: Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He has published approximately 200 articles, papers, reports and technical memoranda and he is coauthor of several books. He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches. He is a Fellow of the AAAS, ACM, and the IEEE and a member of the National Academy of Engineering.

  9. An Overview of High Performance Computing and Challenges for the Future

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Google Tech Talks

    In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and lgorithms are needed for the effective and reliable use of (wide area) dynamic, distributed and parallel environments. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies,more » range of latencies, and increased run--time environment variability will make these problems much harder. We will focus on the redesign of software to fit multicore architectures. Speaker: Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He has published approximately 200 articles, papers, reports and technical memoranda and he is coauthor of several books. He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches. He is a Fellow of the AAAS, ACM, and the IEEE and a member of the National Academy of Engineering.« less

  10. 77 FR 61032 - Proposal Review Panel for Computing Communication Foundations; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-05

    ... NATIONAL SCIENCE FOUNDATION Proposal Review Panel for Computing Communication Foundations; Notice... National Science Foundation announces the following meeting: Name: Site Visit, Proposal Panel Review for.... Type of Meeting: Partial Closed. Contact Person: Sankar Basu, National Science Foundation, 4201 Wilson...

  11. Integrating Multimedia Techniques into CS Pedagogy.

    ERIC Educational Resources Information Center

    Adams, Sandra Honda; Jou, Richard; Nasri, Ahmad; Radimsky, Anne-Louise; Sy, Bon K.

    Through its grants, the National Science Foundation sponsors workshops that inform faculty of current topics in computer science. Such a workshop, entitled, "Developing Multimedia-based Interactive Laboratory Modules for Computer Science," was given July 27-August 6, 1998, at Illinois State University at Normal. Each participant was…

  12. Programming Digital Stories and How-to Animations

    ERIC Educational Resources Information Center

    Hansen, Alexandria Killian; Iveland, Ashley; Harlow, Danielle Boyd; Dwyer, Hilary; Franklin, Diana

    2015-01-01

    As science teachers continue preparing for implementation of the "Next Generation Science Standards," one recommendation is to use computer programming as a promising context to efficiently integrate science and engineering. In this article, a interdisciplinary team of educational researchers and computer scientists describe how to use…

  13. DOE Office of Scientific and Technical Information (OSTI.GOV)

    None, None

    The Second SIAM Conference on Computational Science and Engineering was held in San Diego from February 10-12, 2003. Total conference attendance was 553. This is a 23% increase in attendance over the first conference. The focus of this conference was to draw attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists. Computational Science & Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third modemore » of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For federal agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. CS&E is, by nature, interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful numerical algorithms and sophisticated computer science techniques. From an applied mathematics perspective, much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multi-resolution, automated feature search, and low-dimensional parameterization. The themes of the 2003 conference included, but were not limited to: Advanced Discretization Methods; Computational Biology and Bioinformatics; Computational Chemistry and Chemical Engineering; Computational Earth and Atmospheric Sciences; Computational Electromagnetics; Computational Fluid Dynamics; Computational Medicine and Bioengineering; Computational Physics and Astrophysics; Computational Solid Mechanics and Materials; CS&E Education; Meshing and Adaptivity; Multiscale and Multiphysics Problems; Numerical Algorithms for CS&E; Discrete and Combinatorial Algorithms for CS&E; Inverse Problems; Optimal Design, Optimal Control, and Inverse Problems; Parallel and Distributed Computing; Problem-Solving Environments; Software and Wddleware Systems; Uncertainty Estimation and Sensitivity Analysis; and Visualization and Computer Graphics.« less

  14. The Application of Multiobjective Evolutionary Algorithms to an Educational Computational Model of Science Information Processing: A Computational Experiment in Science Education

    ERIC Educational Resources Information Center

    Lamb, Richard L.; Firestone, Jonah B.

    2017-01-01

    Conflicting explanations and unrelated information in science classrooms increase cognitive load and decrease efficiency in learning. This reduced efficiency ultimately limits one's ability to solve reasoning problems in the science. In reasoning, it is the ability of students to sift through and identify critical pieces of information that is of…

  15. Computer-simulated laboratory explorations for middle school life, earth, and physical Science

    NASA Astrophysics Data System (ADS)

    von Blum, Ruth

    1992-06-01

    Explorations in Middle School Science is a set of 72 computer-simulated laboratory lessons in life, earth, and physical Science for grades 6 9 developed by Jostens Learning Corporation with grants from the California State Department of Education and the National Science Foundation.3 At the heart of each lesson is a computer-simulated laboratory that actively involves students in doing science improving their: (1) understanding of science concepts by applying critical thinking to solve real problems; (2) skills in scientific processes and communications; and (3) attitudes about science. Students use on-line tools (notebook, calculator, word processor) to undertake in-depth investigations of phenomena (like motion in outer space, disease transmission, volcanic eruptions, or the structure of the atom) that would be too difficult, dangerous, or outright impossible to do in a “live” laboratory. Suggested extension activities lead students to hands-on investigations, away from the computer. This article presents the underlying rationale, instructional model, and process by which Explorations was designed and developed. It also describes the general courseware structure and three lesson's in detail, as well as presenting preliminary data from the evaluation. Finally, it suggests a model for incorporating technology into the science classroom.

  16. The Effect of In-Service Training of Computer Science Teachers on Scratch Programming Language Skills Using an Electronic Learning Platform on Programming Skills and the Attitudes towards Teaching Programming

    ERIC Educational Resources Information Center

    Alkaria, Ahmed; Alhassan, Riyadh

    2017-01-01

    This study was conducted to examine the effect of in-service training of computer science teachers in Scratch language using an electronic learning platform on acquiring programming skills and attitudes towards teaching programming. The sample of this study consisted of 40 middle school computer science teachers. They were assigned into two…

  17. On Real-Time Systems Using Local Area Networks.

    DTIC Science & Technology

    1987-07-01

    87-35 July, 1987 CS-TR-1892 On Real - Time Systems Using Local Area Networks*I VShem-Tov Levi Department of Computer Science Satish K. Tripathit...1892 On Real - Time Systems Using Local Area Networks* Shem-Tov Levi Department of Computer Science Satish K. Tripathit Department of Computer Science...constraints and the clock systems that feed the time to real - time systems . A model for real-time system based on LAN communication is presented in

  18. Deals Among Rational Agents,

    DTIC Science & Technology

    1985-03-01

    ARD-AI57 966 DEALS AMONG RATIONAL AGENTS(U) STANFORD UNIV CA DEPT OF 1/1lit COMPUTER SCIENCE J S ROSENSCHEIN ET AL. MAR 857 STAN-CS-85-1e42 NOO039-83... Rational Agents by Jeffrey S. Rosenschemn Michael R. Genesereth Contract N00039-83-c-0136 Department of Computer Science Stanford University Stanford, CA... Rational Agents Jeffrey S. Rosenschein Michael R. Genesereth COMPUTER SCIENCE DEPARTME NT Stanford University Sta-;!ord, California 94305 A ~ ,2 TA

  19. Multiscale Computation. Needs and Opportunities for BER Science

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Scheibe, Timothy D.; Smith, Jeremy C.

    2015-01-01

    The Environmental Molecular Sciences Laboratory (EMSL), a scientific user facility managed by Pacific Northwest National Laboratory for the U.S. Department of Energy, Office of Biological and Environmental Research (BER), conducted a one-day workshop on August 26, 2014 on the topic of “Multiscale Computation: Needs and Opportunities for BER Science.” Twenty invited participants, from various computational disciplines within the BER program research areas, were charged with the following objectives; Identify BER-relevant models and their potential cross-scale linkages that could be exploited to better connect molecular-scale research to BER research at larger scales and; Identify critical science directions that will motivate EMSLmore » decisions regarding future computational (hardware and software) architectures.« less

  20. DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Chapman, Barbara; Calandra, Henri; Crivelli, Silvia

    2014-07-23

    Simulation and computing are essential to much of the research conducted at the DOE national laboratories. Experts in the ASCR ¬relevant Computing Sciences, which encompass a range of disciplines including Computer Science, Applied Mathematics, Statistics and domain Computational Sciences, are an essential element of the workforce in nearly all of the DOE national laboratories. This report seeks to identify the gaps and challenges facing DOE with respect to this workforce. This letter is ASCAC’s response to the charge of February 19, 2014 to identify disciplines in which significantly greater emphasis in workforce training at the graduate or postdoctoral levels ismore » necessary to address workforce gaps in current and future Office of Science mission needs.« less

  1. Earth Science Informatics - Overview

    NASA Technical Reports Server (NTRS)

    Ramapriyan, H. K.

    2017-01-01

    Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes over 180 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies.

  2. Earth Science Informatics - Overview

    NASA Technical Reports Server (NTRS)

    Ramapriyan, H. K.

    2017-01-01

    Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes over 180 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies.The talk will present an overview of current efforts in ESI, the role members of IEEE GRSS play, and discuss recent developments in data preservation and provenance.

  3. National Geographic Society Kids Network: Report on 1994 teacher participants

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    In 1994, National Geographic Society Kids Network, a computer/telecommunications-based science curriculum, was presented to elementary and middle school teachers through summer programs sponsored by NGS and US DOE. The network program assists teachers in understanding the process of doing science; understanding the role of computers and telecommunications in the study of science, math, and engineering; and utilizing computers and telecommunications appropriately in the classroom. The program enables teacher to integrate science, math, and technology with other subjects with the ultimate goal of encouraging students of all abilities to pursue careers in science/math/engineering. This report assesses the impact of the networkmore » program on participating teachers.« less

  4. Critical thinking traits of top-tier experts and implications for computer science education

    NASA Astrophysics Data System (ADS)

    Bushey, Dean E.

    A documented shortage of technical leadership and top-tier performers in computer science jeopardizes the technological edge, security, and economic well-being of the nation. The 2005 President's Information and Technology Advisory Committee (PITAC) Report on competitiveness in computational sciences highlights the major impact of science, technology, and innovation in keeping America competitive in the global marketplace. It stresses the fact that the supply of science, technology, and engineering experts is at the core of America's technological edge, national competitiveness and security. However, recent data shows that both undergraduate and postgraduate production of computer scientists is falling. The decline is "a quiet crisis building in the United States," a crisis that, if allowed to continue unchecked, could endanger America's well-being and preeminence among the world's nations. Past research on expert performance has shown that the cognitive traits of critical thinking, creativity, and problem solving possessed by top-tier performers can be identified, observed and measured. The studies show that the identified attributes are applicable across many domains and disciplines. Companies have begun to realize that cognitive skills are important for high-level performance and are reevaluating the traditional academic standards they have used to predict success for their top-tier performers in computer science. Previous research in the computer science field has focused either on programming skills of its experts or has attempted to predict the academic success of students at the undergraduate level. This study, on the other hand, examines the critical-thinking skills found among experts in the computer science field in order to explore the questions, "What cognitive skills do outstanding performers possess that make them successful?" and "How do currently used measures of academic performance correlate to critical-thinking skills among students?" The results of this study suggest a need to examine how critical-thinking abilities are learned in the undergraduate computer science curriculum and the need to foster these abilities in order to produce the high-level, critical-thinking professionals necessary to fill the growing need for these experts. Due to the fact that current measures of academic performance do not adequately depict students' cognitive abilities, assessment of these skills must be incorporated into existing curricula.

  5. Connectionist Models and Parallelism in High Level Vision.

    DTIC Science & Technology

    1985-01-01

    GRANT NUMBER(s) Jerome A. Feldman N00014-82-K-0193 9. PERFORMING ORGANIZATION NAME AND ADDRESS 10. PROGRAM ELEMENt. PROJECT, TASK Computer Science...Connectionist Models 2.1 Background and Overviev % Computer science is just beginning to look seriously at parallel computation : it may turn out that...the chair. The program includes intermediate level networks that compute more complex joints and ones that compute parallelograms in the image. These

  6. Strategic Computing. New-Generation Computing Technology: A Strategic Plan for Its Development and Application to Critical Problems in Defense

    DTIC Science & Technology

    1983-10-28

    Computing. By seizing an opportunity to leverage recent advances in artificial intelligence, computer science, and microelectronics, the Agency plans...occurred in many separated areas of artificial intelligence, computer science, and microelectronics. Advances in "expert system" technology now...and expert knowledge o Advances in Artificial Intelligence: Mechanization of speech recognition, vision, and natural language understanding. o

  7. The Quantitative Analysis of User Behavior Online - Data, Models and Algorithms

    NASA Astrophysics Data System (ADS)

    Raghavan, Prabhakar

    By blending principles from mechanism design, algorithms, machine learning and massive distributed computing, the search industry has become good at optimizing monetization on sound scientific principles. This represents a successful and growing partnership between computer science and microeconomics. When it comes to understanding how online users respond to the content and experiences presented to them, we have more of a lacuna in the collaboration between computer science and certain social sciences. We will use a concrete technical example from image search results presentation, developing in the process some algorithmic and machine learning problems of interest in their own right. We then use this example to motivate the kinds of studies that need to grow between computer science and the social sciences; a critical element of this is the need to blend large-scale data analysis with smaller-scale eye-tracking and "individualized" lab studies.

  8. Research progress on quantum informatics and quantum computation

    NASA Astrophysics Data System (ADS)

    Zhao, Yusheng

    2018-03-01

    Quantum informatics is an emerging interdisciplinary subject developed by the combination of quantum mechanics, information science, and computer science in the 1980s. The birth and development of quantum information science has far-reaching significance in science and technology. At present, the application of quantum information technology has become the direction of people’s efforts. The preparation, storage, purification and regulation, transmission, quantum coding and decoding of quantum state have become the hotspot of scientists and technicians, which have a profound impact on the national economy and the people’s livelihood, technology and defense technology. This paper first summarizes the background of quantum information science and quantum computer and the current situation of domestic and foreign research, and then introduces the basic knowledge and basic concepts of quantum computing. Finally, several quantum algorithms are introduced in detail, including Quantum Fourier transform, Deutsch-Jozsa algorithm, Shor’s quantum algorithm, quantum phase estimation.

  9. A Course on Reconfigurable Processors

    ERIC Educational Resources Information Center

    Shoufan, Abdulhadi; Huss, Sorin A.

    2010-01-01

    Reconfigurable computing is an established field in computer science. Teaching this field to computer science students demands special attention due to limited student experience in electronics and digital system design. This article presents a compact course on reconfigurable processors, which was offered at the Technische Universitat Darmstadt,…

  10. Activities of the Research Institute for Advanced Computer Science

    NASA Technical Reports Server (NTRS)

    Oliger, Joseph

    1994-01-01

    The Research Institute for Advanced Computer Science (RIACS) was established by the Universities Space Research Association (USRA) at the NASA Ames Research Center (ARC) on June 6, 1983. RIACS is privately operated by USRA, a consortium of universities with research programs in the aerospace sciences, under contract with NASA. The primary mission of RIACS is to provide research and expertise in computer science and scientific computing to support the scientific missions of NASA ARC. The research carried out at RIACS must change its emphasis from year to year in response to NASA ARC's changing needs and technological opportunities. Research at RIACS is currently being done in the following areas: (1) parallel computing; (2) advanced methods for scientific computing; (3) high performance networks; and (4) learning systems. RIACS technical reports are usually preprints of manuscripts that have been submitted to research journals or conference proceedings. A list of these reports for the period January 1, 1994 through December 31, 1994 is in the Reports and Abstracts section of this report.

  11. Changing the Paradigm: Preparing Students for the Computing Profession in the 21st Century

    NASA Technical Reports Server (NTRS)

    Robbins, Kay A.

    2003-01-01

    The dramatic technological developments of the past decade have led to a tremendous growth in the demand for computer science professionals well-versed in advanced technology and techniques. NASA, traditionally a haven for cutting-edge innovators, is now competing with every industrial and government sector for computer science talent. The computer science program at University of Texas at San Antonio (UTSA) faces challenges beyond those intrinsically presented by rapid technological change, because a significant number of UTSA students come from low-income families with no Internet or computer access at home. An examination of enrollment statistics for the computer science program at UTSA showed that very few students who entered as freshmen successfully graduated. The upper division courses appeared to be populated by graduate students removing deficiencies and by transfer students. The faculty was also concerned that the students who did graduate from the program did not have the strong technical and programming skills that the CS program had been noted for in the community during the 1980's.

  12. 78 FR 69138 - Proposal Review Panel for Computing Communication Foundations; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-18

    ... NATIONAL SCIENCE FOUNDATION Proposal Review Panel for Computing Communication Foundations; Notice... National Science Foundation announces the following meeting: Name: Site Visit, Proposal Panel Review for Science and Technology Centers--Integrative Partnerships ( 1192). Date/Time: December 3, 2013, 6:30 p.m.-8...

  13. 77 FR 70483 - Proposal Review Panel for Computing Communication Foundations; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-26

    ... NATIONAL SCIENCE FOUNDATION Proposal Review Panel for Computing Communication Foundations; Notice... National Science Foundation announces the following meeting: Name: Site Visit, Proposal Panel Review for Science and Technology Centers--Integrative Partnerships ( 1192). Date/Time: December 3, 2012, 6:30 p.m.-8...

  14. Technological Applications in Science Assessment.

    ERIC Educational Resources Information Center

    Helgeson, Stanley L.; Kumar, David D.

    Educational technology has been a focus of development and research in science teaching and learning. This document reviews research dealing with computer and hypermedia applications to assessment in science education. The paper reports the findings first for computer applications for assessment and then for hypermedia applications in assessment.…

  15. Is Computer Science Compatible with Technological Literacy?

    ERIC Educational Resources Information Center

    Buckler, Chris; Koperski, Kevin; Loveland, Thomas R.

    2018-01-01

    Although technology education evolved over time, and pressure increased to infuse more engineering principles and increase links to STEM (science technology, engineering, and mathematics) initiatives, there has never been an official alignment between technology and engineering education and computer science. There is movement at the federal level…

  16. Role of Computers in Sci-Tech Libraries.

    ERIC Educational Resources Information Center

    Bichteler, Julie; And Others

    1986-01-01

    Articles in this theme issue discuss applications of microcomputers in science/technology libraries, a UNIX-based online catalog, online versus print sources, computer-based statistics, and the applicability and implications of the Matheson-Cooper Report on health science centers for science/technology libraries. A bibliography of new reference…

  17. Computer Simulation in Social Science.

    ERIC Educational Resources Information Center

    Garson, G. David

    From a base in military models, computer simulation has evolved to provide a wide variety of applications in social science. General purpose simulation packages and languages such as FIRM, DYNAMO, and others have made significant contributions toward policy discussion in the social sciences and have well-documented efficacy in instructional…

  18. Mathematics and Computer Science | Argonne National Laboratory

    Science.gov Websites

    Genomics and Systems Biology LCRCLaboratory Computing Resource Center MCSGMidwest Center for Structural Genomics NAISENorthwestern-Argonne Institute of Science & Engineering SBCStructural Biology Center

  19. Scientific Inquiry Self-Efficacy and Computer Game Self-Efficacy as Predictors and Outcomes of Middle School Boys' and Girls' Performance in a Science Assessment in a Virtual Environment

    NASA Astrophysics Data System (ADS)

    Bergey, Bradley W.; Ketelhut, Diane Jass; Liang, Senfeng; Natarajan, Uma; Karakus, Melissa

    2015-10-01

    The primary aim of the study was to examine whether performance on a science assessment in an immersive virtual environment was associated with changes in scientific inquiry self-efficacy. A secondary aim of the study was to examine whether performance on the science assessment was equitable for students with different levels of computer game self-efficacy, including whether gender differences were observed. We examined 407 middle school students' scientific inquiry self-efficacy and computer game self-efficacy before and after completing a computer game-like assessment about a science mystery. Results from path analyses indicated that prior scientific inquiry self-efficacy predicted achievement on end-of-module questions, which in turn predicted change in scientific inquiry self-efficacy. By contrast, computer game self-efficacy was neither predictive of nor predicted by performance on the science assessment. While boys had higher computer game self-efficacy compared to girls, multi-group analyses suggested only minor gender differences in how efficacy beliefs related to performance. Implications for assessments with virtual environments and future design and research are discussed.

  20. Biological and Environmental Research Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Biological and Environmental Research, March 28-31, 2016, Rockville, Maryland

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Arkin, Adam; Bader, David C.; Coffey, Richard

    Understanding the fundamentals of genomic systems or the processes governing impactful weather patterns are examples of the types of simulation and modeling performed on the most advanced computing resources in America. High-performance computing and computational science together provide a necessary platform for the mission science conducted by the Biological and Environmental Research (BER) office at the U.S. Department of Energy (DOE). This report reviews BER’s computing needs and their importance for solving some of the toughest problems in BER’s portfolio. BER’s impact on science has been transformative. Mapping the human genome, including the U.S.-supported international Human Genome Project that DOEmore » began in 1987, initiated the era of modern biotechnology and genomics-based systems biology. And since the 1950s, BER has been a core contributor to atmospheric, environmental, and climate science research, beginning with atmospheric circulation studies that were the forerunners of modern Earth system models (ESMs) and by pioneering the implementation of climate codes onto high-performance computers. See http://exascaleage.org/ber/ for more information.« less

  1. Storage and network bandwidth requirements through the year 2000 for the NASA Center for Computational Sciences

    NASA Technical Reports Server (NTRS)

    Salmon, Ellen

    1996-01-01

    The data storage and retrieval demands of space and Earth sciences researchers have made the NASA Center for Computational Sciences (NCCS) Mass Data Storage and Delivery System (MDSDS) one of the world's most active Convex UniTree systems. Science researchers formed the NCCS's Computer Environments and Research Requirements Committee (CERRC) to relate their projected supercomputing and mass storage requirements through the year 2000. Using the CERRC guidelines and observations of current usage, some detailed projections of requirements for MDSDS network bandwidth and mass storage capacity and performance are presented.

  2. High End Computing Technologies for Earth Science Applications: Trends, Challenges, and Innovations

    NASA Technical Reports Server (NTRS)

    Parks, John (Technical Monitor); Biswas, Rupak; Yan, Jerry C.; Brooks, Walter F.; Sterling, Thomas L.

    2003-01-01

    Earth science applications of the future will stress the capabilities of even the highest performance supercomputers in the areas of raw compute power, mass storage management, and software environments. These NASA mission critical problems demand usable multi-petaflops and exabyte-scale systems to fully realize their science goals. With an exciting vision of the technologies needed, NASA has established a comprehensive program of advanced research in computer architecture, software tools, and device technology to ensure that, in partnership with US industry, it can meet these demanding requirements with reliable, cost effective, and usable ultra-scale systems. NASA will exploit, explore, and influence emerging high end computing architectures and technologies to accelerate the next generation of engineering, operations, and discovery processes for NASA Enterprises. This article captures this vision and describes the concepts, accomplishments, and the potential payoff of the key thrusts that will help meet the computational challenges in Earth science applications.

  3. Rapid protein alignment in the cloud: HAMOND combines fast DIAMOND alignments with Hadoop parallelism.

    PubMed

    Yu, Jia; Blom, Jochen; Sczyrba, Alexander; Goesmann, Alexander

    2017-09-10

    The introduction of next generation sequencing has caused a steady increase in the amounts of data that have to be processed in modern life science. Sequence alignment plays a key role in the analysis of sequencing data e.g. within whole genome sequencing or metagenome projects. BLAST is a commonly used alignment tool that was the standard approach for more than two decades, but in the last years faster alternatives have been proposed including RapSearch, GHOSTX, and DIAMOND. Here we introduce HAMOND, an application that uses Apache Hadoop to parallelize DIAMOND computation in order to scale-out the calculation of alignments. HAMOND is fault tolerant and scalable by utilizing large cloud computing infrastructures like Amazon Web Services. HAMOND has been tested in comparative genomics analyses and showed promising results both in efficiency and accuracy. Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.

  4. State-space receptive fields of semicircular canal afferent neurons in the bullfrog

    NASA Technical Reports Server (NTRS)

    Paulin, M. G.; Hoffman, L. F.

    2001-01-01

    Receptive fields are commonly used to describe spatial characteristics of sensory neuron responses. They can be extended to characterize temporal or dynamical aspects by mapping neural responses in dynamical state spaces. The state-space receptive field of a neuron is the probability distribution of the dynamical state of the stimulus-generating system conditioned upon the occurrence of a spike. We have computed state-space receptive fields for semicircular canal afferent neurons in the bullfrog (Rana catesbeiana). We recorded spike times during broad-band Gaussian noise rotational velocity stimuli, computed the frequency distribution of head states at spike times, and normalized these to obtain conditional pdfs for the state. These state-space receptive fields quantify what the brain can deduce about the dynamical state of the head when a single spike arrives from the periphery. c2001 Elsevier Science B.V. All rights reserved.

  5. Semiannual report

    NASA Technical Reports Server (NTRS)

    1995-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, fluid mechanics, and computer science during the period 1 Oct. 1994 - 31 Mar. 1995.

  6. Digital Game-Based Learning in High School Computer Science Education: Impact on Educational Effectiveness and Student Motivation

    ERIC Educational Resources Information Center

    Papastergiou, Marina

    2009-01-01

    The aim of this study was to assess the learning effectiveness and motivational appeal of a computer game for learning computer memory concepts, which was designed according to the curricular objectives and the subject matter of the Greek high school Computer Science (CS) curriculum, as compared to a similar application, encompassing identical…

  7. Computing and the social organization of academic work

    NASA Astrophysics Data System (ADS)

    Shields, Mark A.; Graves, William; Nyce, James M.

    1992-12-01

    This article discusses the academic computing movement during the 1980s. We focus on the Faculty Workstations Project at Brown University, where major computing initiatives were undertaken during the 1980s. Six departments are compared: chemistry, cognitive and linguistic sciences, geology, music, neural science, and sociology. We discuss the theoretical implications of our study for conceptualizing the relationship of computing to academic work.

  8. Summary of research in applied mathematics, numerical analysis, and computer sciences

    NASA Technical Reports Server (NTRS)

    1986-01-01

    The major categories of current ICASE research programs addressed include: numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; control and parameter identification problems, with emphasis on effective numerical methods; computational problems in engineering and physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and computer systems and software, especially vector and parallel computers.

  9. Computer Card Games in Computer Science Education: A 10-Year Review

    ERIC Educational Resources Information Center

    Kordaki, Maria; Gousiou, Anthi

    2016-01-01

    This paper presents a 10-year review study that focuses on the investigation of the use of computer card games (CCGs) as learning tools in Computer Science (CS) Education. Specific search terms keyed into 10 large scientific electronic databases identified 24 papers referring to the use of CCGs for the learning of CS matters during the last…

  10. Association of Small Computer Users in Education (ASCUE) Summer Conference Proceedings (30th, North Myrtle Beach, South Carolina, June 7-12, 1997).

    ERIC Educational Resources Information Center

    Smith, Peter, Ed.

    Papers from a conference on small college computing issues are: "An On-line Microcomputer Course for Pre-service Teachers" (Mary K. Abkemeier); "The Mathematics and Computer Science Learning Center (MLC)" (Solomon T. Abraham); "Multimedia for the Non-Computer Science Faculty Member" (Stephen T. Anderson, Sr.); "Achieving Continuous Improvement:…

  11. After Installation: Ubiquitous Computing and High School Science in Three Experienced, High-Technology Schools

    ERIC Educational Resources Information Center

    Drayton, Brian; Falk, Joni K.; Stroud, Rena; Hobbs, Kathryn; Hammerman, James

    2010-01-01

    There are few studies of the impact of ubiquitous computing on high school science, and the majority of studies of ubiquitous computing report only on the early stages of implementation. The present study presents data on 3 high schools with carefully elaborated ubiquitous computing systems that have gone through at least one "obsolescence cycle"…

  12. High Performance Computing and Communications Act of 1991. Hearing Before the Subcommittee on Science, Technology, and Space of the Committee on Commerce, Science, and Transportation. One Hundred Second Congress, First Session on S. 272 To Provide for a Coordinated Federal Research Program To Ensure Continued United States Leadership in High-Performance Computing.

    ERIC Educational Resources Information Center

    Congress of the U.S., Washington, DC. Senate Committee on Commerce, Science, and Transportation.

    This hearing before the Senate Subcommittee on Science, Technology, and Space focuses on S. 272, the High-Performance Computing and Communications Act of 1991, a bill that provides for a coordinated federal research and development program to ensure continued U.S. leadership in this area. Performance computing is defined as representing the…

  13. Designing Computer Learning Environments for Engineering and Computer Science: The Scaffolded Knowledge Integration Framework.

    ERIC Educational Resources Information Center

    Linn, Marcia C.

    1995-01-01

    Describes a framework called scaffolded knowledge integration and illustrates how it guided the design of two successful course enhancements in the field of computer science and engineering: the LISP Knowledge Integration Environment and the spatial reasoning environment. (101 references) (Author/MKR)

  14. A Software Laboratory Environment for Computer-Based Problem Solving.

    ERIC Educational Resources Information Center

    Kurtz, Barry L.; O'Neal, Micheal B.

    This paper describes a National Science Foundation-sponsored project at Louisiana Technological University to develop computer-based laboratories for "hands-on" introductions to major topics of computer science. The underlying strategy is to develop structured laboratory environments that present abstract concepts through the use of…

  15. Computational chemistry at Janssen

    NASA Astrophysics Data System (ADS)

    van Vlijmen, Herman; Desjarlais, Renee L.; Mirzadegan, Tara

    2017-03-01

    Computer-aided drug discovery activities at Janssen are carried out by scientists in the Computational Chemistry group of the Discovery Sciences organization. This perspective gives an overview of the organizational and operational structure, the science, internal and external collaborations, and the impact of the group on Drug Discovery at Janssen.

  16. Concept Learning through Image Processing.

    ERIC Educational Resources Information Center

    Cifuentes, Lauren; Yi-Chuan, Jane Hsieh

    This study explored computer-based image processing as a study strategy for middle school students' science concept learning. Specifically, the research examined the effects of computer graphics generation on science concept learning and the impact of using computer graphics to show interrelationships among concepts during study time. The 87…

  17. Group Projects and the Computer Science Curriculum

    ERIC Educational Resources Information Center

    Joy, Mike

    2005-01-01

    Group projects in computer science are normally delivered with reference to good software engineering practice. The discipline of software engineering is rapidly evolving, and the application of the latest 'agile techniques' to group projects causes a potential conflict with constraints imposed by regulating bodies on the computer science…

  18. Democratizing Children's Computation: Learning Computational Science as Aesthetic Experience

    ERIC Educational Resources Information Center

    Farris, Amy Voss; Sengupta, Pratim

    2016-01-01

    In this essay, Amy Voss Farris and Pratim Sengupta argue that a democratic approach to children's computing education in a science class must focus on the "aesthetics" of children's experience. In "Democracy and Education," Dewey links "democracy" with a distinctive understanding of "experience." For Dewey,…

  19. Joint the Center for Applied Scientific Computing

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gamblin, Todd; Bremer, Timo; Van Essen, Brian

    The Center for Applied Scientific Computing serves as Livermore Lab’s window to the broader computer science, computational physics, applied mathematics, and data science research communities. In collaboration with academic, industrial, and other government laboratory partners, we conduct world-class scientific research and development on problems critical to national security. CASC applies the power of high-performance computing and the efficiency of modern computational methods to the realms of stockpile stewardship, cyber and energy security, and knowledge discovery for intelligence applications.

  20. Evaluation of Computer-Based Training for Health Workers in Echocardiography for RHD.

    PubMed

    Engelman, Daniel; Okello, Emmy; Beaton, Andrea; Selnow, Gary; Remenyi, Bo; Watson, Caroline; Longenecker, Chris T; Sable, Craig; Steer, Andrew C

    2017-03-01

    The implementation of screening for rheumatic heart disease at a population-scale would require a considerable increase in human resources. Training nonexpert staff in echocardiography requires appropriate methods and materials. This pre/post study aims to measure the change in the knowledge and confidence of a group of health workers after a computer-assisted training intervention in basic echocardiography for rheumatic heart disease. A syllabus of self-guided, computer-based modules to train nonexpert health workers in basic echocardiography for rheumatic heart disease was developed. Thirty-eight health workers from Uganda participated in the training. Using a pre/post design, identical test instruments were administered before and after the training intervention, assessing the knowledge (using multiple-choice questions) and confidence (using Likert scale questions) in clinical science and echocardiography. The mean total score on knowledge tests rose from 44.8% to 85.4% (mean difference: 40.6%, 95% confidence interval [CI]: 35.4% to 45.8%), with strong evidence for an increase in scores across all knowledge theme areas (p < 0.001). Increased confidence with each key aspect was reported, and there was strong evidence for an increase in the mean score for confidence scales in clinical science (difference: 7.1, 95% CI: 6.2 to 8.0; p < 0.001) and echocardiography (difference: 18.3, 95% CI: 16.6 to 20.0; p < 0.001). The training program was effective at increasing knowledge and confidence for basic echocardiography in nonexpert health workers. Use of computer-assisted learning may reduce the human resource requirements for training staff in echocardiography. Copyright © 2016 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.

  1. Developing the Next Generation of Science Data System Engineers

    NASA Technical Reports Server (NTRS)

    Moses, John F.; Behnke, Jeanne; Durachka, Christopher D.

    2016-01-01

    At Goddard, engineers and scientists with a range of experience in science data systems are needed to employ new technologies and develop advances in capabilities for supporting new Earth and Space science research. Engineers with extensive experience in science data, software engineering and computer-information architectures are needed to lead and perform these activities. The increasing types and complexity of instrument data and emerging computer technologies coupled with the current shortage of computer engineers with backgrounds in science has led the need to develop a career path for science data systems engineers and architects.The current career path, in which undergraduate students studying various disciplines such as Computer Engineering or Physical Scientist, generally begins with serving on a development team in any of the disciplines where they can work in depth on existing Goddard data systems or serve with a specific NASA science team. There they begin to understand the data, infuse technologies, and begin to know the architectures of science data systems. From here the typical career involves peermentoring, on-the-job training or graduate level studies in analytics, computational science and applied science and mathematics. At the most senior level, engineers become subject matter experts and system architect experts, leading discipline-specific data centers and large software development projects. They are recognized as a subject matter expert in a science domain, they have project management expertise, lead standards efforts and lead international projects. A long career development remains necessary not only because of the breadth of knowledge required across physical sciences and engineering disciplines, but also because of the diversity of instrument data being developed today both by NASA and international partner agencies and because multidiscipline science and practitioner communities expect to have access to all types of observational data.This paper describes an approach to defining career-path guidance for college-bound high school and undergraduate engineering students, junior and senior engineers from various disciplines.

  2. Developing the Next Generation of Science Data System Engineers

    NASA Astrophysics Data System (ADS)

    Moses, J. F.; Durachka, C. D.; Behnke, J.

    2015-12-01

    At Goddard, engineers and scientists with a range of experience in science data systems are needed to employ new technologies and develop advances in capabilities for supporting new Earth and Space science research. Engineers with extensive experience in science data, software engineering and computer-information architectures are needed to lead and perform these activities. The increasing types and complexity of instrument data and emerging computer technologies coupled with the current shortage of computer engineers with backgrounds in science has led the need to develop a career path for science data systems engineers and architects. The current career path, in which undergraduate students studying various disciplines such as Computer Engineering or Physical Scientist, generally begins with serving on a development team in any of the disciplines where they can work in depth on existing Goddard data systems or serve with a specific NASA science team. There they begin to understand the data, infuse technologies, and begin to know the architectures of science data systems. From here the typical career involves peer mentoring, on-the-job training or graduate level studies in analytics, computational science and applied science and mathematics. At the most senior level, engineers become subject matter experts and system architect experts, leading discipline-specific data centers and large software development projects. They are recognized as a subject matter expert in a science domain, they have project management expertise, lead standards efforts and lead international projects. A long career development remains necessary not only because of the breath of knowledge required across physical sciences and engineering disciplines, but also because of the diversity of instrument data being developed today both by NASA and international partner agencies and because multi-discipline science and practitioner communities expect to have access to all types of observational data. This paper describes an approach to defining career-path guidance for college-bound high school and undergraduate engineering students, junior and senior engineers from various disciplines.

  3. A Portable Bioinformatics Course for Upper-Division Undergraduate Curriculum in Sciences

    ERIC Educational Resources Information Center

    Floraino, Wely B.

    2008-01-01

    This article discusses the challenges that bioinformatics education is facing and describes a bioinformatics course that is successfully taught at the California State Polytechnic University, Pomona, to the fourth year undergraduate students in biological sciences, chemistry, and computer science. Information on lecture and computer practice…

  4. Computer Science Concept Inventories: Past and Future

    ERIC Educational Resources Information Center

    Taylor, C.; Zingaro, D.; Porter, L.; Webb, K. C.; Lee, C. B.; Clancy, M.

    2014-01-01

    Concept Inventories (CIs) are assessments designed to measure student learning of core concepts. CIs have become well known for their major impact on pedagogical techniques in other sciences, especially physics. Presently, there are no widely used, validated CIs for computer science. However, considerable groundwork has been performed in the form…

  5. Technology Enhanced Elementary and Middle School Science (TEEMSS). What Works Clearinghouse Intervention Report

    ERIC Educational Resources Information Center

    What Works Clearinghouse, 2012

    2012-01-01

    "Technology Enhanced Elementary and Middle School Science" ("TEEMSS") is a physical science curriculum for grades 3-8 that utilizes computers, sensors, and interactive models to support investigations of real-world phenomena. Through 15 inquiry-based instructional units, students interact with computers, gather and analyze…

  6. In Sync with Science Teaching

    ERIC Educational Resources Information Center

    Scribner-MacLean, Michelle; Nikonchuk, Andrew; Kaplo, Patrick; Wall, Michael

    2006-01-01

    Science educators are often among the first to use emerging technologies in the classroom and laboratory. For the technologically savvy science teacher, the handheld computer is a terrific tool. A handheld computer is a portable electronic device that helps organize (via calendars, contact lists, to-do lists) and integrate electronic data…

  7. Soldier Decision-Making for Allocation of Intelligence, Surveillance, and Reconnaissance Assets

    DTIC Science & Technology

    2014-06-01

    Judgments; also called Algoritmic or Statistical Judgements Computer Science , Psychology, and Statistics Actuarial or algorithmic...Jan. 2011. [17] R. M. Dawes, D. Faust, and P. E. Meehl, “Clinical versus Actuarial Judgment,” Science , vol. 243, no. 4899, pp. 1668–1674, 1989. [18...School of Computer Science

  8. NASA Tech Briefs, March 1995

    NASA Technical Reports Server (NTRS)

    1995-01-01

    This issue contains articles with a special focus on Computer-Aided design and engineering amd a research report on the Ames Research Center. Other subjects in this issue are: Electronic Components and Circuits, Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Manufacturing/Fabrication, Mathematics and Information Sciences and Life Sciences

  9. Teachers' Organization of Participation Structures for Teaching Science with Computer Technology

    ERIC Educational Resources Information Center

    Subramaniam, Karthigeyan

    2016-01-01

    This paper describes a qualitative study that investigated the nature of the participation structures and how the participation structures were organized by four science teachers when they constructed and communicated science content in their classrooms with computer technology. Participation structures focus on the activity structures and…

  10. Computer Science Professionals and Greek Library Science

    ERIC Educational Resources Information Center

    Dendrinos, Markos N.

    2008-01-01

    This paper attempts to present the current state of computer science penetration into librarianship in terms of both workplace and education issues. The shift from material libraries into digital libraries is mirrored in the corresponding shift from librarians into information scientists. New library data and metadata, as well as new automated…

  11. Setting the Stage for the Interactive Classroom of the 1980s.

    ERIC Educational Resources Information Center

    Hiraki, Joan; Garcia, Oscar N.

    1981-01-01

    Under a National Science Foundation CAUSE grant, the Department of Computer Science and Engineering at the University of South Florida, Tampa, is developing an interactive microcomputer/minicomputer/video disk learning system for engineering and science students. Journal availability: Educational Computer, P.O. Box 535, Cupertino, CA 95015.…

  12. Computation, Mathematics and Logistics Department Report for Fiscal Year 1978.

    DTIC Science & Technology

    1980-03-01

    storage technology. A reference library on these and related areas is now composed of two thousand documents. The most comprehensive tool available...at DTNSRDC on the CDC 6000 Computer System for a variety of applications including Navy Logistics, Library Science, Ocean Science, Contract Manage... Library Science) Track technical documents on advanced ship design Univ. of Virginia at Charlottesville - (Ocean Science) Monitor research projects for

  13. Montgomery Blair Science, Mathematics and Computer Science Magnet Program: A Successful Model for Meeting the Needs of Highly Able STEM Learners

    ERIC Educational Resources Information Center

    Stein, David; Ostrander, Peter; Lee, G. Maie

    2016-01-01

    The Magnet Program at Montgomery Blair High School is an application-based magnet program utilizing a curriculum focused on science, mathematics, and computer science catering to interested, talented, and eager to learn students in Montgomery County, Maryland. This article identifies and discusses some of the unique aspects of the Magnet Program…

  14. On the Large-Scaling Issues of Cloud-based Applications for Earth Science Dat

    NASA Astrophysics Data System (ADS)

    Hua, H.

    2016-12-01

    Next generation science data systems are needed to address the incoming flood of data from new missions such as NASA's SWOT and NISAR where its SAR data volumes and data throughput rates are order of magnitude larger than present day missions. Existing missions, such as OCO-2, may also require high turn-around time for processing different science scenarios where on-premise and even traditional HPC computing environments may not meet the high processing needs. Additionally, traditional means of procuring hardware on-premise are already limited due to facilities capacity constraints for these new missions. Experiences have shown that to embrace efficient cloud computing approaches for large-scale science data systems requires more than just moving existing code to cloud environments. At large cloud scales, we need to deal with scaling and cost issues. We present our experiences on deploying multiple instances of our hybrid-cloud computing science data system (HySDS) to support large-scale processing of Earth Science data products. We will explore optimization approaches to getting best performance out of hybrid-cloud computing as well as common issues that will arise when dealing with large-scale computing. Novel approaches were utilized to do processing on Amazon's spot market, which can potentially offer 75%-90% costs savings but with an unpredictable computing environment based on market forces.

  15. Strategic research in the social sciences

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Bainbridge, W.S.

    1995-12-31

    The federal government has identified a number of multi-agency funding initiatives for science in strategic areas, such as the initiatives on global environmental change and high performance computing, that give some role to the social sciences. Seven strategic areas for social science research are given with potential for federal funding: (1) Democratization. (2) Human Capital. (3) Administrative Science. (4) Cognitive Science. (5) High Performance Computing and Digital Libraries. (6) Human Dimensions of Environmental Change. and (7) Human Genetic Diversity. The first two are addressed in detail and the remainder as a group. 10 refs.

  16. The Computing and Data Grid Approach: Infrastructure for Distributed Science Applications

    NASA Technical Reports Server (NTRS)

    Johnston, William E.

    2002-01-01

    With the advent of Grids - infrastructure for using and managing widely distributed computing and data resources in the science environment - there is now an opportunity to provide a standard, large-scale, computing, data, instrument, and collaboration environment for science that spans many different projects and provides the required infrastructure and services in a relatively uniform and supportable way. Grid technology has evolved over the past several years to provide the services and infrastructure needed for building 'virtual' systems and organizations. We argue that Grid technology provides an excellent basis for the creation of the integrated environments that can combine the resources needed to support the large- scale science projects located at multiple laboratories and universities. We present some science case studies that indicate that a paradigm shift in the process of science will come about as a result of Grids providing transparent and secure access to advanced and integrated information and technologies infrastructure: powerful computing systems, large-scale data archives, scientific instruments, and collaboration tools. These changes will be in the form of services that can be integrated with the user's work environment, and that enable uniform and highly capable access to these computers, data, and instruments, regardless of the location or exact nature of these resources. These services will integrate transient-use resources like computing systems, scientific instruments, and data caches (e.g., as they are needed to perform a simulation or analyze data from a single experiment); persistent-use resources. such as databases, data catalogues, and archives, and; collaborators, whose involvement will continue for the lifetime of a project or longer. While we largely address large-scale science in this paper, Grids, particularly when combined with Web Services, will address a broad spectrum of science scenarios. both large and small scale.

  17. Toward using games to teach fundamental computer science concepts

    NASA Astrophysics Data System (ADS)

    Edgington, Jeffrey Michael

    Video and computer games have become an important area of study in the field of education. Games have been designed to teach mathematics, physics, raise social awareness, teach history and geography, and train soldiers in the military. Recent work has created computer games for teaching computer programming and understanding basic algorithms. We present an investigation where computer games are used to teach two fundamental computer science concepts: boolean expressions and recursion. The games are intended to teach the concepts and not how to implement them in a programming language. For this investigation, two computer games were created. One is designed to teach basic boolean expressions and operators and the other to teach fundamental concepts of recursion. We describe the design and implementation of both games. We evaluate the effectiveness of these games using before and after surveys. The surveys were designed to ascertain basic understanding, attitudes and beliefs regarding the concepts. The boolean game was evaluated with local high school students and students in a college level introductory computer science course. The recursion game was evaluated with students in a college level introductory computer science course. We present the analysis of the collected survey information for both games. This analysis shows a significant positive change in student attitude towards recursion and modest gains in student learning outcomes for both topics.

  18. High-Resiliency and Auto-Scaling of Large-Scale Cloud Computing for OCO-2 L2 Full Physics Processing

    NASA Astrophysics Data System (ADS)

    Hua, H.; Manipon, G.; Starch, M.; Dang, L. B.; Southam, P.; Wilson, B. D.; Avis, C.; Chang, A.; Cheng, C.; Smyth, M.; McDuffie, J. L.; Ramirez, P.

    2015-12-01

    Next generation science data systems are needed to address the incoming flood of data from new missions such as SWOT and NISAR where data volumes and data throughput rates are order of magnitude larger than present day missions. Additionally, traditional means of procuring hardware on-premise are already limited due to facilities capacity constraints for these new missions. Existing missions, such as OCO-2, may also require high turn-around time for processing different science scenarios where on-premise and even traditional HPC computing environments may not meet the high processing needs. We present our experiences on deploying a hybrid-cloud computing science data system (HySDS) for the OCO-2 Science Computing Facility to support large-scale processing of their Level-2 full physics data products. We will explore optimization approaches to getting best performance out of hybrid-cloud computing as well as common issues that will arise when dealing with large-scale computing. Novel approaches were utilized to do processing on Amazon's spot market, which can potentially offer ~10X costs savings but with an unpredictable computing environment based on market forces. We will present how we enabled high-tolerance computing in order to achieve large-scale computing as well as operational cost savings.

  19. Graphical User Interface Programming in Introductory Computer Science.

    ERIC Educational Resources Information Center

    Skolnick, Michael M.; Spooner, David L.

    Modern computing systems exploit graphical user interfaces for interaction with users; as a result, introductory computer science courses must begin to teach the principles underlying such interfaces. This paper presents an approach to graphical user interface (GUI) implementation that is simple enough for beginning students to understand, yet…

  20. Eyetracking Methodology in SCMC: A Tool for Empowering Learning and Teaching

    ERIC Educational Resources Information Center

    Stickler, Ursula; Shi, Lijing

    2017-01-01

    Computer-assisted language learning, or CALL, is an interdisciplinary area of research, positioned between science and social science, computing and education, linguistics and applied linguistics. This paper argues that by appropriating methods originating in some areas of CALL-related research, for example human-computer interaction (HCI) or…

  1. Computer Science 205. Interim Guide, 1983.

    ERIC Educational Resources Information Center

    Manitoba Dept. of Education, Winnipeg.

    This guide to a 4-unit, required high school computer science course emphasizes problem solving and computer programming and is designed for use with a variety of hardware configurations and programming languages. An overview covers the program rationale, goals and objectives, program design and description, program implementation, time allotment,…

  2. The Computational Estimation and Instructional Perspectives of Elementary School Teachers

    ERIC Educational Resources Information Center

    Tsao, Yea-Ling; Pan, Ting-Rung

    2013-01-01

    The purpose of this study is to investigate teachers' understanding and knowledge of computational estimation, and teaching practice toward to computational estimation. There are six fifth-grade elementary teachers who participated in this study; three teachers with mathematics/ science major and three teachers with non-mathematics/science major.…

  3. Correlates of Success in Introductory Programming: A Study with Middle School Students

    ERIC Educational Resources Information Center

    Qian, Yizhou; Lehman, James D.

    2016-01-01

    The demand for computing professionals in the workplace has led to increased attention to computer science education, and introductory computer science courses have been introduced at different levels of education. This study investigated the relationship between gender, academic performance in non-programming subjects, and programming learning…

  4. "Mini", "Midi" and the Student.

    ERIC Educational Resources Information Center

    Edwards, Perry; Broadwell, Bruce

    Mini- and midi-computers have been introduced into the computer science program at Sierra College to afford students more direct contact with computers. The college's administration combined with the Science and Business departments to share the expense and utilization of the program. The National Cash Register Century 100 and the Data General…

  5. Integrating Computational Science Tools into a Thermodynamics Course

    ERIC Educational Resources Information Center

    Vieira, Camilo; Magana, Alejandra J.; García, R. Edwin; Jana, Aniruddha; Krafcik, Matthew

    2018-01-01

    Computational tools and methods have permeated multiple science and engineering disciplines, because they enable scientists and engineers to process large amounts of data, represent abstract phenomena, and to model and simulate complex concepts. In order to prepare future engineers with the ability to use computational tools in the context of…

  6. An Integrated Framework for Improved Computer Science Education: Strategies, Implementations, and Results

    ERIC Educational Resources Information Center

    Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen

    2007-01-01

    This paper describes the Reinventing Computer Science Curriculum Project at the University of Nebraska-Lincoln. Motivated by rapid and significant changes in the information technology and computing areas, high diversity in student aptitudes, and high dropout rates, the project designed and implemented an integrated instructional/research…

  7. Cornell University Center for Advanced Computing

    Science.gov Websites

    Resource Center Data Management (RDMSG) Computational Agriculture National Science Foundation Other Public agriculture technology acquired Lifka joins National Science Foundation CISE Advisory Committee © Cornell

  8. Software Reviews.

    ERIC Educational Resources Information Center

    Dwyer, Donna; And Others

    1989-01-01

    Reviewed are seven software packages for Apple and IBM computers. Included are: "Toxicology"; "Science Corner: Space Probe"; "Alcohol and Pregnancy"; "Science Tool Kit Plus"; Computer Investigations: Plant Growth"; "Climatrolls"; and "Animal Watch: Whales." (CW)

  9. NASA Tech Briefs, June 1996. Volume 20, No. 6

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics: New Computer Hardware; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences;Books and Reports.

  10. Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology.

    PubMed

    Bonham, Kevin S; Stefan, Melanie I

    2017-10-01

    While women are generally underrepresented in STEM fields, there are noticeable differences between fields. For instance, the gender ratio in biology is more balanced than in computer science. We were interested in how this difference is reflected in the interdisciplinary field of computational/quantitative biology. To this end, we examined the proportion of female authors in publications from the PubMed and arXiv databases. There are fewer female authors on research papers in computational biology, as compared to biology in general. This is true across authorship position, year, and journal impact factor. A comparison with arXiv shows that quantitative biology papers have a higher ratio of female authors than computer science papers, placing computational biology in between its two parent fields in terms of gender representation. Both in biology and in computational biology, a female last author increases the probability of other authors on the paper being female, pointing to a potential role of female PIs in influencing the gender balance.

  11. Selected papers in the applied computer sciences 1992

    USGS Publications Warehouse

    Wiltshire, Denise A.

    1992-01-01

    This compilation of short papers reports on technical advances in the applied computer sciences. The papers describe computer applications in support of earth science investigations and research. This is the third volume in the series "Selected Papers in the Applied Computer Sciences." Listed below are the topics addressed in the compilation:Integration of geographic information systems and expert systems for resource management,Visualization of topography using digital image processing,Development of a ground-water data base for the southeastern Uited States using a geographic information system,Integration and aggregation of stream-drainage data using a geographic information system,Procedures used in production of digital geologic coverage using compact disc read-only memory (CD-ROM) technology, andAutomated methods for producing a technical publication on estimated water use in the United States.

  12. Software Reuse Methods to Improve Technological Infrastructure for e-Science

    NASA Technical Reports Server (NTRS)

    Marshall, James J.; Downs, Robert R.; Mattmann, Chris A.

    2011-01-01

    Social computing has the potential to contribute to scientific research. Ongoing developments in information and communications technology improve capabilities for enabling scientific research, including research fostered by social computing capabilities. The recent emergence of e-Science practices has demonstrated the benefits from improvements in the technological infrastructure, or cyber-infrastructure, that has been developed to support science. Cloud computing is one example of this e-Science trend. Our own work in the area of software reuse offers methods that can be used to improve new technological development, including cloud computing capabilities, to support scientific research practices. In this paper, we focus on software reuse and its potential to contribute to the development and evaluation of information systems and related services designed to support new capabilities for conducting scientific research.

  13. Conceptualization and application of an approach for designing healthcare software interfaces.

    PubMed

    Kumar, Ajit; Maskara, Reena; Maskara, Sanjeev; Chiang, I-Jen

    2014-06-01

    The aim of this study is to conceptualize a novel approach, which facilitates us to design prototype interfaces for healthcare software. Concepts and techniques from various disciplines were used to conceptualize an interface design approach named MORTARS (Map Original Rhetorical To Adapted Rhetorical Situation). The concepts and techniques included in this approach are (1) rhetorical situation - a concept of philosophy provided by Bitzer (1968); (2) move analysis - an applied linguistic technique provided by Swales (1990) and Bhatia (1993); (3) interface design guidelines - a cognitive and computer science concept provided by Johnson (2010); (4) usability evaluation instrument - an interface evaluation questionnaire provided by Lund (2001); (5) user modeling via stereotyping - a cognitive and computer science concept provided by Rich (1979). A prototype interface for outpatient clinic software was designed to introduce the underlying concepts of MORTARS. The prototype interface was evaluated by thirty-two medical informaticians. The medical informaticians found the designed prototype interface to be useful (73.3%), easy to use (71.9%), easy to learn (93.1%), and satisfactory (53.2%). MORTARS approach was found to be effective in designing the prototype user interface for the outpatient clinic software. This approach might be further used to design interfaces for various software pertaining to healthcare and other domains. Copyright © 2014 Elsevier Inc. All rights reserved.

  14. The impact of network medicine in gastroenterology and hepatology.

    PubMed

    Baffy, György

    2013-10-01

    In the footsteps of groundbreaking achievements made by biomedical research, another scientific revolution is unfolding. Systems biology draws from the chaos and complexity theory and applies computational models to predict emerging behavior of the interactions between genes, gene products, and environmental factors. Adaptation of systems biology to translational and clinical sciences has been termed network medicine, and is likely to change the way we think about preventing, predicting, diagnosing, and treating complex human diseases. Network medicine finds gene-disease associations by analyzing the unparalleled digital information discovered and created by high-throughput technologies (dubbed as "omics" science) and links genetic variance to clinical disease phenotypes through intermediate organizational levels of life such as the epigenome, transcriptome, proteome, and metabolome. Supported by large reference databases, unprecedented data storage capacity, and innovative computational analysis, network medicine is poised to find links between conditions that were thought to be distinct, uncover shared disease mechanisms and key drivers of the pathogenesis, predict individual disease outcomes and trajectories, identify novel therapeutic applications, and help avoid off-target and undesirable drug effects. Recent advances indicate that these perspectives are increasingly within our reach for understanding and managing complex diseases of the digestive system. Copyright © 2013 AGA Institute. Published by Elsevier Inc. All rights reserved.

  15. Why are some STEM fields more gender balanced than others?

    PubMed

    Cheryan, Sapna; Ziegler, Sianna A; Montoya, Amanda K; Jiang, Lily

    2017-01-01

    Women obtain more than half of U.S. undergraduate degrees in biology, chemistry, and mathematics, yet they earn less than 20% of computer science, engineering, and physics undergraduate degrees (National Science Foundation, 2014a). Gender differences in interest in computer science, engineering, and physics appear even before college. Why are women represented in some science, technology, engineering, and mathematics (STEM) fields more than others? We conduct a critical review of the most commonly cited factors explaining gender disparities in STEM participation and investigate whether these factors explain differential gender participation across STEM fields. Math performance and discrimination influence who enters STEM, but there is little evidence to date that these factors explain why women's underrepresentation is relatively worse in some STEM fields. We introduce a model with three overarching factors to explain the larger gender gaps in participation in computer science, engineering, and physics than in biology, chemistry, and mathematics: (a) masculine cultures that signal a lower sense of belonging to women than men, (b) a lack of sufficient early experience with computer science, engineering, and physics, and (c) gender gaps in self-efficacy. Efforts to increase women's participation in computer science, engineering, and physics may benefit from changing masculine cultures and providing students with early experiences that signal equally to both girls and boys that they belong and can succeed in these fields. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  16. Sociocultural Influences On Undergraduate Women's Entry into a Computer Science Major

    NASA Astrophysics Data System (ADS)

    Lyon, Louise Ann

    Computer science not only displays the pattern of underrepresentation of many other science, technology, engineering, and math (STEM) fields, but has actually experienced a decline in the number of women choosing the field over the past two decades. Broken out by gender and race, the picture becomes more nuanced, with the ratio of females to males receiving bachelor's degrees in computer science higher for non-White ethnic groups than for Whites. This dissertation explores the experiences of university women differing along the axis of race, class, and culture who are considering majoring in computer science in order to highlight how well-prepared women are persuaded that they belong (or not) in the field and how the confluence of social categories plays out in their decision. This study focuses on a university seminar entitled "Women in Computer Science and Engineering" open to women concurrently enrolled in introductory programming and uses an ethnographic approach including classroom participant observation, interviews with seminar students and instructors, observations of students in other classes, and interviews with parents of students. Three stand-alone but related articles explore various aspects of the experiences of women who participated in the study using Rom Harre's positioning theory as a theoretical framework. The first article uses data from twenty-two interviews to uncover how interactions with others and patterns in society position women in relation to a computer science major, and how these women have arrived at the point of considering the major despite messages that they do not belong. The second article more deeply explores the cases of three women who vary greatly along the axes of race, class, and culture in order to uncover pattern and interaction differences for women based on their ethnic background. The final article focuses on the attitudes and expectations of the mothers of three students of contrasting ethnicities and how reported interactions between mothers and daughters either constrain or afford opportunities for the daughters to choose a computer science major.

  17. Foundations of anticipatory logic in biology and physics.

    PubMed

    Bettinger, Jesse S; Eastman, Timothy E

    2017-12-01

    Recent advances in modern physics and biology reveal several scenarios in which top-down effects (Ellis, 2016) and anticipatory systems (Rosen, 1980) indicate processes at work enabling active modeling and inference such that anticipated effects project onto potential causes. We extrapolate a broad landscape of anticipatory systems in the natural sciences extending to computational neuroscience of perception in the capacity of Bayesian inferential models of predictive processing. This line of reasoning also comes with philosophical foundations, which we develop in terms of counterfactual reasoning and possibility space, Whitehead's process thought, and correlations with Eastern wisdom traditions. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. The clinical value of large neuroimaging data sets in Alzheimer's disease.

    PubMed

    Toga, Arthur W

    2012-02-01

    Rapid advances in neuroimaging and cyberinfrastructure technologies have brought explosive growth in the Web-based warehousing, availability, and accessibility of imaging data on a variety of neurodegenerative and neuropsychiatric disorders and conditions. There has been a prolific development and emergence of complex computational infrastructures that serve as repositories of databases and provide critical functionalities such as sophisticated image analysis algorithm pipelines and powerful three-dimensional visualization and statistical tools. The statistical and operational advantages of collaborative, distributed team science in the form of multisite consortia push this approach in a diverse range of population-based investigations. Copyright © 2012 Elsevier Inc. All rights reserved.

  19. NASA Tech Briefs, September 1999. Volume 23, No. 9

    NASA Technical Reports Server (NTRS)

    1999-01-01

    Topics discussed include: Computer-Aided Design and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences;

  20. Increasing the Interest of Elementary Age Students in Computer Science though Day Camps

    ERIC Educational Resources Information Center

    Cliburn, Dan; Weisheit, Tracey; Griffith, Jason; Jones, Matt; Rackley, Hunter; Richey, Eric; Stormer, Kevin

    2004-01-01

    Computer Science and related majors have seen a decrease in enrollment across the country in recent years. While there are several theories behind why this may be the case, as educators in many areas of computing and information technology, this is a trend we should attempt to reverse. While it is true that many children are "computer literate",…

  1. Computer-Mediated Communication in English for Specific Purposes: A Case Study with Computer Science Students at Universiti Teknologi Malaysia

    ERIC Educational Resources Information Center

    Shamsudin, Sarimah; Nesi, Hilary

    2006-01-01

    This paper will describe an ESP approach to the design and implementation of computer-mediated communication (CMC) tasks for computer science students at Universiti Teknologi Malaysia, and discuss the effectiveness of the chat feature of Windows NetMeeting as a tool for developing specified language skills. CMC tasks were set within a programme of…

  2. Research in computer science

    NASA Technical Reports Server (NTRS)

    Ortega, J. M.

    1986-01-01

    Various graduate research activities in the field of computer science are reported. Among the topics discussed are: (1) failure probabilities in multi-version software; (2) Gaussian Elimination on parallel computers; (3) three dimensional Poisson solvers on parallel/vector computers; (4) automated task decomposition for multiple robot arms; (5) multi-color incomplete cholesky conjugate gradient methods on the Cyber 205; and (6) parallel implementation of iterative methods for solving linear equations.

  3. Computer Assisted Project-Based Instruction: The Effects on Science Achievement, Computer Achievement and Portfolio Assessment

    ERIC Educational Resources Information Center

    Erdogan, Yavuz; Dede, Dinçer

    2015-01-01

    The purpose of this study is to compare the effects of computer assisted project-based instruction on learners' achievement in a science and technology course, in a computer course and in portfolio development. With this aim in mind, a quasi-experimental design was used and a sample of 70 seventh grade secondary school students from Org. Esref…

  4. Cognitive Model Exploration and Optimization: A New Challenge for Computational Science

    DTIC Science & Technology

    2010-01-01

    Introduction Research in cognitive science often involves the generation and analysis of computational cognitive models to explain various...HPC) clusters and volunteer computing for large-scale computational resources. The majority of applications on the Department of Defense HPC... clusters focus on solving partial differential equations (Post, 2009). These tend to be lean, fast models with little noise. While we lack specific

  5. JPRS Report, Science & Technology, USSR: Computers.

    DTIC Science & Technology

    1988-07-08

    Computers DISTRIBUTION STAfpiEFTX Approved !CJ- public vekrase; Distribution Unla;u;ed DTIC QUALITY INSPECTED S REPRODUCED BY U.S. DEPARTMENT OF...COMMERCE National Technical Information Service SPRINGFIELD, VA. 22161 /O o f\\H JPRS-UCC-88-002 8 JULY 1988 SCIENCE & TECHNOLOGY USSR: COMPUTERS ...CONTENTS GENERAL Computers : Steps to the World Level ,nm^VA „ 17Q (V. Kovalenko; SOTSIAL1STICIIESKAYA INDUSTRIYA, No 178, 4 Aug 87

  6. Slime mould biotechnology

    NASA Astrophysics Data System (ADS)

    Mayne, Richard

    2015-03-01

    Slime mould computing is an inherently multi-disciplinary subfield of unconventional computing that draws upon aspects of not only theoretical computer science and electronics, but also the natural sciences. This chapter focuses on the biology of slime moulds and expounds the viewpoint that a deep, intuitive understanding of slime mould life processes is a fundamental requirement for understanding -- and, hence, harnessing -- the incredible behaviour patterns we may characterise as "computation"...

  7. A parallel-processing approach to computing for the geographic sciences

    USGS Publications Warehouse

    Crane, Michael; Steinwand, Dan; Beckmann, Tim; Krpan, Greg; Haga, Jim; Maddox, Brian; Feller, Mark

    2001-01-01

    The overarching goal of this project is to build a spatially distributed infrastructure for information science research by forming a team of information science researchers and providing them with similar hardware and software tools to perform collaborative research. Four geographically distributed Centers of the U.S. Geological Survey (USGS) are developing their own clusters of low-cost personal computers into parallel computing environments that provide a costeffective way for the USGS to increase participation in the high-performance computing community. Referred to as Beowulf clusters, these hybrid systems provide the robust computing power required for conducting research into various areas, such as advanced computer architecture, algorithms to meet the processing needs for real-time image and data processing, the creation of custom datasets from seamless source data, rapid turn-around of products for emergency response, and support for computationally intense spatial and temporal modeling.

  8. Effect of Robotics on Elementary Preservice Teachers' Self-Efficacy, Science Learning, and Computational Thinking

    NASA Astrophysics Data System (ADS)

    Jaipal-Jamani, Kamini; Angeli, Charoula

    2017-04-01

    The current impetus for increasing STEM in K-12 education calls for an examination of how preservice teachers are being prepared to teach STEM. This paper reports on a study that examined elementary preservice teachers' ( n = 21) self-efficacy, understanding of science concepts, and computational thinking as they engaged with robotics in a science methods course. Data collection methods included pretests and posttests on science content, prequestionnaires and postquestionnaires for interest and self-efficacy, and four programming assignments. Statistical results showed that preservice teachers' interest and self-efficacy with robotics increased. There was a statistically significant difference between preknowledge and postknowledge scores, and preservice teachers did show gains in learning how to write algorithms and debug programs over repeated programming tasks. The findings suggest that the robotics activity was an effective instructional strategy to enhance interest in robotics, increase self-efficacy to teach with robotics, develop understandings of science concepts, and promote the development of computational thinking skills. Study findings contribute quantitative evidence to the STEM literature on how robotics develops preservice teachers' self-efficacy, science knowledge, and computational thinking skills in higher education science classroom contexts.

  9. The journey from forensic to predictive materials science using density functional theory

    DOE PAGES

    Schultz, Peter A.

    2017-09-12

    Approximate methods for electronic structure, implemented in sophisticated computer codes and married to ever-more powerful computing platforms, have become invaluable in chemistry and materials science. The maturing and consolidation of quantum chemistry codes since the 1980s, based upon explicitly correlated electronic wave functions, has made them a staple of modern molecular chemistry. Here, the impact of first principles electronic structure in physics and materials science had lagged owing to the extra formal and computational demands of bulk calculations.

  10. The journey from forensic to predictive materials science using density functional theory

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Schultz, Peter A.

    Approximate methods for electronic structure, implemented in sophisticated computer codes and married to ever-more powerful computing platforms, have become invaluable in chemistry and materials science. The maturing and consolidation of quantum chemistry codes since the 1980s, based upon explicitly correlated electronic wave functions, has made them a staple of modern molecular chemistry. Here, the impact of first principles electronic structure in physics and materials science had lagged owing to the extra formal and computational demands of bulk calculations.

  11. Measuring Computer Science Knowledge Level of Hungarian Students Specialized in Informatics with Romanian Students Attending a Science Course or a Mathematics-Informatics Course

    ERIC Educational Resources Information Center

    Kiss, Gabor

    2012-01-01

    An analysis of Information Technology knowledge of Hungarian and Romanian students was made with the help of a self developed web based Informatics Test. The goal of this research is an analysis of the Computer Science knowledge level of Hungarian and Romanian students attending a Science course or a Mathematics-Informatics course. Analysed was…

  12. Advanced Methodologies for NASA Science Missions

    NASA Astrophysics Data System (ADS)

    Hurlburt, N. E.; Feigelson, E.; Mentzel, C.

    2017-12-01

    Most of NASA's commitment to computational space science involves the organization and processing of Big Data from space-based satellites, and the calculations of advanced physical models based on these datasets. But considerable thought is also needed on what computations are needed. The science questions addressed by space data are so diverse and complex that traditional analysis procedures are often inadequate. The knowledge and skills of the statistician, applied mathematician, and algorithmic computer scientist must be incorporated into programs that currently emphasize engineering and physical science. NASA's culture and administrative mechanisms take full cognizance that major advances in space science are driven by improvements in instrumentation. But it is less well recognized that new instruments and science questions give rise to new challenges in the treatment of satellite data after it is telemetered to the ground. These issues might be divided into two stages: data reduction through software pipelines developed within NASA mission centers; and science analysis that is performed by hundreds of space scientists dispersed through NASA, U.S. universities, and abroad. Both stages benefit from the latest statistical and computational methods; in some cases, the science result is completely inaccessible using traditional procedures. This paper will review the current state of NASA and present example applications using modern methodologies.

  13. Curricular Influences on Female Afterschool Facilitators' Computer Science Interests and Career Choices

    ERIC Educational Resources Information Center

    Koch, Melissa; Gorges, Torie

    2016-01-01

    Underrepresented populations such as women, African-Americans, and Latinos/as often come to STEM (science, technology, engineering, and mathematics) careers by less traditional paths than White and Asian males. To better understand how and why women might shift toward STEM, particularly computer science, careers, we investigated the education and…

  14. Developing Computational Fluency with the Help of Science: A Turkish Middle and High School Grades Study

    ERIC Educational Resources Information Center

    Corlu, M. Sencer; Capraro, Robert M.; Corlu, M. Ali

    2011-01-01

    Students need to achieve automaticity in learning mathematics without sacrificing conceptual understanding of the algorithms that are essential in being successful in algebra and problem solving, as well as in science. This research investigated the relationship between science-contextualized problems and computational fluency by testing an…

  15. Reconsidering Simulations in Science Education at a Distance: Features of Effective Use

    ERIC Educational Resources Information Center

    Blake, C.; Scanlon, E.

    2007-01-01

    This paper proposes a reconsideration of use of computer simulations in science education. We discuss three studies of the use of science simulations for undergraduate distance learning students. The first one, "The Driven Pendulum" simulation is a computer-based experiment on the behaviour of a pendulum. The second simulation, "Evolve" is…

  16. Fiction as an Introduction to Computer Science Research

    ERIC Educational Resources Information Center

    Goldsmith, Judy; Mattei, Nicholas

    2014-01-01

    The undergraduate computer science curriculum is generally focused on skills and tools; most students are not exposed to much research in the field, and do not learn how to navigate the research literature. We describe how fiction reviews (and specifically science fiction) are used as a gateway to research reviews. Students learn a little about…

  17. A Method of Synthesizing Large Bodies of Knowledge in the Social Sciences.

    ERIC Educational Resources Information Center

    Thiemann, Francis C.

    Employing concepts of formal symbolic logic, the philosophy of science, computer technology, and the work of Hans Zetterberg, a format is suggested for synthesizing and increasing use of the rapidly expanding knowledge of the social sciences. Steps in the process include formulating basic propositions, utilizing computers to establish sets, and…

  18. Ideas for Integrating the Microcomputer into Science Instruction.

    ERIC Educational Resources Information Center

    Pollard, Jim, Ed.

    Much of the innovation in the use of microcomputers in education has come from classroom teachers who are using computers with students. In October, 1987, forums were held for secondary school science teachers who were using computers in their science classes. Within this document are some of the lesson plans that the participating teachers…

  19. Can Peer Instruction Be Effective in Upper-Division Computer Science Courses?

    ERIC Educational Resources Information Center

    Bailey Lee, Cynthia; Garcia, Saturnino; Porter, Leo

    2013-01-01

    Peer Instruction (PI) is an active learning pedagogical technique. PI lectures present students with a series of multiple-choice questions, which they respond to both individually and in groups. PI has been widely successful in the physical sciences and, recently, has been successfully adopted by computer science instructors in lower-division,…

  20. America COMPETES Act and the FY2010 Budget

    DTIC Science & Technology

    2009-06-29

    Outstanding Junior Investigator, Fusion Energy Sciences Plasma Physics Junior Faculty Development; Advanced Scientific Computing Research Early Career...the Fusion Energy Sciences Graduate Fellowships.2 If members of Congress agree with this contention, these America COMPETES Act programs were...Physics Outstanding Junior Investigator, Fusion Energy Sciences Plasma Physics Junior Faculty Development; Advanced Scientific Computing Research Early

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