Sample records for computer sciences mathematics

  1. 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.

  2. 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…

  3. 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

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. [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.

  12. 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…

  13. 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…

  14. 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.

  15. 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…

  16. 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

  17. 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.

  18. 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)

  19. 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...

  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. 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.

  2. 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

  3. 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.

  4. Mathematics and Computer Science: Exploring a Symbiotic Relationship

    ERIC Educational Resources Information Center

    Bravaco, Ralph; Simonson, Shai

    2004-01-01

    This paper describes a "learning community" designed for sophomore computer science majors who are simultaneously studying discrete mathematics. The learning community consists of three courses: Discrete Mathematics, Data Structures and an Integrative Seminar/Lab. The seminar functions as a link that integrates the two disciplines. Participation…

  5. 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…

  6. The Mathematics and Computer Science Learning Center (MLC).

    ERIC Educational Resources Information Center

    Abraham, Solomon T.

    The Mathematics and Computer Science Learning Center (MLC) was established in the Department of Mathematics at North Carolina Central University during the fall semester of the 1982-83 academic year. The initial operations of the MLC were supported by grants to the University from the Burroughs-Wellcome Company and the Kenan Charitable Trust Fund.…

  7. 4th Annual Conference for African-American Researchers in the Mathematical Sciences (CAARMS4). Preliminary Program

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

    Tapia, Richard

    1998-06-01

    In June, The Center for Research on Parallel Computation (CRPC), an NSF-funded Science and Technology Center, hosted the 4th Annual Conference for African-American Reserachers in the Mathematical Sciences (CAARMS4) at Rice University. The main goal of this conference was to highlight current work by African-American researchers and graduate students in mathematics. This conference strengthened the mathematical sciences by encouraging the increased participation of African-American and underrepresented groups into the field, facilitating working relationships between them and helping to cultivate their careers. In addition to the talks there was a graduate student poster session and tutorials on topics in mathematics andmore » computer science. These talks, presentations, and discussions brought a broader perspective to the critical issues involving minority participation in mathematics.« less

  8. Proceedings of the 2013 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering - M and C 2013

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

    NONE

    2013-07-01

    The Mathematics and Computation Division of the American Nuclear (ANS) and the Idaho Section of the ANS hosted the 2013 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M and C 2013). This proceedings contains over 250 full papers with topics ranging from reactor physics; radiation transport; materials science; nuclear fuels; core performance and optimization; reactor systems and safety; fluid dynamics; medical applications; analytical and numerical methods; algorithms for advanced architectures; and validation verification, and uncertainty quantification.

  9. 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.…

  10. 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…

  11. Internationalizing the Mathematical Finance Course

    ERIC Educational Resources Information Center

    Okonkwo, Zephyrinus C.

    2017-01-01

    About the year 2000, the Department of Mathematics and Computer Science, Albany State University (ASU), Albany, Georgia, USA envisioned the need to have a comprehensive curriculum revision based on recommendations of the Conference Boards of The Mathematical Sciences, the American Mathematical Society, the Mathematical Association of American, and…

  12. Collective Properties of Neural Systems and Their Relation to Other Physical Models

    DTIC Science & Technology

    1988-08-05

    been computed explicitly. This has been achieved algorithmically by utilizing methods introduced earlier. It should be emphasized that in addition to...Research Institute for Mathematical Sciences. K’oto Universin. K roto 606. .apan and E. BAROUCH Department of Mathematics and Computer Sciene. Clarkon...Mathematics and Computer Science, Clarkson University, where this work was collaborated. References I. IBabu, S. V. and Barouch E., An exact soIlution for the

  13. Teacher's Guide to Secondary Mathematics.

    ERIC Educational Resources Information Center

    Duval County Schools, Jacksonville, FL.

    This is a teacher's guide to secondary school mathematics. Developed for use in the Duval County Public Schools, Jacksonville, Florida. Areas of mathematics covered are algebra, analysis, calculus, computer literacy, computer science, geometry, analytic geometry, general mathematics, consumer mathematics, pre-algebra, probability and statistics,…

  14. 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.

  15. Engineering physics and mathematics division

    NASA Astrophysics Data System (ADS)

    Sincovec, R. F.

    1995-07-01

    This report provides a record of the research activities of the Engineering Physics and Mathematics Division for the period 1 Jan. 1993 - 31 Dec. 1994. This report is the final archival record of the EPM Division. On 1 Oct. 1994, ORELA was transferred to Physics Division and on 1 Jan. 1995, the Engineering Physics and Mathematics Division and the Computer Applications Division reorganized to form the Computer Science and Mathematics Division and the Computational Physics and Engineering Division. Earlier reports in this series are identified on the previous pages, along with the progress reports describing ORNL's research in the mathematical sciences prior to 1984 when those activities moved into the Engineering Physics and Mathematics Division.

  16. 34 CFR 691.17 - Determination of eligible majors.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... majors in the physical, life, or computer sciences, mathematics, technology, engineering, critical... EDUCATION, DEPARTMENT OF EDUCATION ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS... years of study in mathematics and three years of study in the sciences, with a laboratory component in...

  17. Student science enrichment training program

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

    Sandhu, S.S.

    1994-08-01

    This is a report on the Student Science Enrichment Training Program, with special emphasis on chemical and computer science fields. The residential summer session was held at the campus of Claflin College, Orangeburg, SC, for six weeks during 1993 summer, to run concomitantly with the college`s summer school. Fifty participants selected for this program, included high school sophomores, juniors and seniors. The students came from rural South Carolina and adjoining states which, presently, have limited science and computer science facilities. The program focused on high ability minority students, with high potential for science engineering and mathematical careers. The major objectivemore » was to increase the pool of well qualified college entering minority students who would elect to go into science, engineering and mathematical careers. The Division of Natural Sciences and Mathematics and engineering at Claflin College received major benefits from this program as it helped them to expand the Departments of Chemistry, Engineering, Mathematics and Computer Science as a result of additional enrollment. It also established an expanded pool of well qualified minority science and mathematics graduates, which were recruited by the federal agencies and private corporations, visiting Claflin College Campus. Department of Energy`s relationship with Claflin College increased the public awareness of energy related job opportunities in the public and private sectors.« less

  18. Computer Courseware Evaluations. A Series of Reports Compiled by the Clearinghouse Computer Technology Project.

    ERIC Educational Resources Information Center

    Alberta Dept. of Education, Edmonton.

    This report reviews Apple computer courseware in business education, library skills, mathematics, science, special education, and word processing based on the curricular requirements of Alberta, Canada. It provides detailed evaluations of 23 authorized titles in business education (2), mathematics (20), and science (1); 3 of the math titles are…

  19. 34 CFR 280.40 - What costs are allowable?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... equipment (including computers) and the maintenance and operation of materials, equipment and computers. Any... related to improving student reading skills or knowledge of mathematics, science, history, geography... improving student reading skills or knowledge of mathematics, science, history, geography, English, foreign...

  20. 34 CFR 280.40 - What costs are allowable?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... equipment (including computers) and the maintenance and operation of materials, equipment and computers. Any... related to improving student reading skills or knowledge of mathematics, science, history, geography... improving student reading skills or knowledge of mathematics, science, history, geography, English, foreign...

  1. 34 CFR 280.40 - What costs are allowable?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... equipment (including computers) and the maintenance and operation of materials, equipment and computers. Any... related to improving student reading skills or knowledge of mathematics, science, history, geography... improving student reading skills or knowledge of mathematics, science, history, geography, English, foreign...

  2. Using Mental Imagery Processes for Teaching and Research in Mathematics and Computer Science

    ERIC Educational Resources Information Center

    Arnoux, Pierre; Finkel, Alain

    2010-01-01

    The role of mental representations in mathematics and computer science (for teaching or research) is often downplayed or even completely ignored. Using an ongoing work on the subject, we argue for a more systematic study and use of mental representations, to get an intuition of mathematical concepts, and also to understand and build proofs. We…

  3. Integrating Mathematics into the Introductory Biology Laboratory Course

    ERIC Educational Resources Information Center

    White, James D.; Carpenter, Jenna P.

    2008-01-01

    Louisiana Tech University has an integrated science curriculum for its mathematics, chemistry, physics, computer science, biology-research track and secondary mathematics and science education majors. The curriculum focuses on the calculus sequence and introductory labs in biology, physics, and chemistry. In the introductory biology laboratory…

  4. 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…

  5. Turkish Mathematics and Science Teachers' Technology Use in Their Classroom Instruction: Findings from TIMSS 2011

    ERIC Educational Resources Information Center

    Tas, Yasemin; Balgalmis, Esra

    2016-01-01

    The goal of this study was to describe Turkish mathematics and science teachers' use of computer in their classroom instruction by utilizing TIMSS 2011 data. Analyses results revealed that teachers most frequently used computers for preparation purpose and least frequently used computers for administration. There was no difference in teachers'…

  6. Enhancing Student Engagement to Positively Impact Mathematics Anxiety, Confidence and Achievement for Interdisciplinary Science Subjects

    ERIC Educational Resources Information Center

    Everingham, Yvette L.; Gyuris, Emma; Connolly, Sean R.

    2017-01-01

    Contemporary science educators must equip their students with the knowledge and practical know-how to connect multiple disciplines like mathematics, computing and the natural sciences to gain a richer and deeper understanding of a scientific problem. However, many biology and earth science students are prejudiced against mathematics due to…

  7. A study of mathematics and science achievement scores among African American students and the impact of teacher-oriented variables on them through the Educational Longitudinal Study, 2002 (ELS: 2002) data

    NASA Astrophysics Data System (ADS)

    Walker, Valentine

    The purpose of this dissertation was to utilize the ELS: 2002 longitudinal data to highlight the achievement of African American students relative to other racial sub-groups in mathematics and science and to highlight teacher oriented variables that might influence their achievement. Various statistical tools, including descriptive statistics, ANOVA, Multiple Regression were used to analyze data that was derived from the students', teachers' and administrations' questionnaires compiled in the base year of the study (2002) as well as the first follow-up transcript study (2006). The major findings are as follows: African American students performed lower than all other major racial subgroups in mathematics and science; Parental variables including SES and parental education were strong correlates of achievement in mathematics and science: The amount and type of mathematics and science courses students took were strong predictors of achievement in mathematics and science; Teachers' race, experience, certification status, graduate courses completed and professional development influenced African American students' achievement in mathematics and science; Aspects of classroom climate including teacher-pupil relationship, classroom management, students' perception of quality instructions, praise and rewards system might influence African American students' achievement in mathematics and science; Teachers' beliefs pertaining to students' background and intellectual ability might influence their educational expectation of African American students and subsequently student achievement in mathematics and science; Teaching strategies such as reviewing, lecturing and using graphing calculators had a positive influence on mathematics achievement while using computers, discussion and using other books than mathematics textbooks had negative influences on mathematics achievement; Computer use in science had positive influence on science achievement while homework had a positive influence on mathematics and science achievement among African American students. The application of these findings in settings populated with African American students might be important in increasing mathematics and science achievement among them.

  8. Recommendations for an Undergraduate Program in Computational Mathematics.

    ERIC Educational Resources Information Center

    Committee on the Undergraduate Program in Mathematics, Berkeley, CA.

    This report describes an undergraduate program designed to produce mathematicians who will know how to use and to apply computers. There is a core of 12 one-semester courses: five in mathematics, four in computational mathematics and three in computer science, leaving the senior year for electives. The content and spirit of these courses are…

  9. 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…

  10. Winning the Popularity Contest: Researcher Preference When Selecting Resources for Civil Engineering, Computer Science, Mathematics and Physics Dissertations

    ERIC Educational Resources Information Center

    Dotson, Daniel S.; Franks, Tina P.

    2015-01-01

    More than 53,000 citations from 609 dissertations published at The Ohio State University between 1998-2012 representing four science disciplines--civil engineering, computer science, mathematics and physics--were examined to determine what, if any, preferences or trends exist. This case study seeks to identify whether or not researcher preferences…

  11. Modeling hazardous mass flows Geoflows09: Mathematical and computational aspects of modeling hazardous geophysical mass flows; Seattle, Washington, 9–11 March 2009

    USGS Publications Warehouse

    Iverson, Richard M.; LeVeque, Randall J.

    2009-01-01

    A recent workshop at the University of Washington focused on mathematical and computational aspects of modeling the dynamics of dense, gravity-driven mass movements such as rock avalanches and debris flows. About 30 participants came from seven countries and brought diverse backgrounds in geophysics; geology; physics; applied and computational mathematics; and civil, mechanical, and geotechnical engineering. The workshop was cosponsored by the U.S. Geological Survey Volcano Hazards Program, by the U.S. National Science Foundation through a Vertical Integration of Research and Education (VIGRE) in the Mathematical Sciences grant to the University of Washington, and by the Pacific Institute for the Mathematical Sciences. It began with a day of lectures open to the academic community at large and concluded with 2 days of focused discussions and collaborative work among the participants.

  12. 34 CFR 691.2 - Definitions.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... physical, life, or computer sciences, mathematics, technology, engineering, or a critical foreign language..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS...

  13. 34 CFR 691.2 - Definitions.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... physical, life, or computer sciences, mathematics, technology, engineering, or a critical foreign language..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS...

  14. 34 CFR 691.2 - Definitions.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... physical, life, or computer sciences, mathematics, technology, engineering, or a critical foreign language..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS...

  15. 34 CFR 691.2 - Definitions.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... physical, life, or computer sciences, mathematics, technology, engineering, or a critical foreign language..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS...

  16. 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.

  17. Research Area 3: Mathematical Sciences: 3.4, Discrete Mathematics and Computer Science

    DTIC Science & Technology

    2015-06-10

    013-0043-1 Charles Chui, Hrushikesh Mhaskar. MRA contextual-recovery extension of smooth functions on manifolds, Applied and Computational Harmonic...753507. International Society for Optics and Photonics, 2010. [5] C. K. Chui and H. N. Mhaskar. MRA contextual-recovery extension of smooth functions on

  18. 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.

  19. A Mathematical Sciences Program at an Upper-Division Campus.

    ERIC Educational Resources Information Center

    Swetz, Frank J.

    1978-01-01

    The conception, objectives, contents, and limitations of a degree program in the mathematical sciences at Pennsylvania State University, Capitol Campus, are discussed. Career goals that may be pursued include: managerial, science, education, actuarial, and computer. (MP)

  20. Associations and Committees of or for Women in Science, Engineering, Mathematics and Medicine.

    ERIC Educational Resources Information Center

    Aldrich, Michele, Comp.; Leach, Alicia, Comp.

    Provided is a list of associations and committees of or for women in science, engineering, mathematics, and medicine. The list is organized by discipline, with cross-referencing to cognate specialties. The disciplines include: anthropology; astronomy; atmospheric sciences; biology; chemistry; computer sciences; earth sciences; energy; engineering;…

  1. Does Computer Use Matter? The Influence of Computer Usage on Eighth-Grade Students' Mathematics Reasoning

    ERIC Educational Resources Information Center

    Ayieko, Rachel A.; Gokbel, Elif N.; Nelson, Bryan

    2017-01-01

    This study uses the 2011 Trends in International Mathematics and Science Study to investigate the relationships among students' and teachers' computer use, and eighth-grade students' mathematical reasoning in three high-achieving nations: Finland, Chinese Taipei, and Singapore. The study found a significant negative relationship in all three…

  2. 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.

  3. [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.

  4. 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.

  5. [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.

  6. A pedagogical example of second-order arithmetic sequences applied to the construction of computer passwords by upper elementary grade students

    NASA Astrophysics Data System (ADS)

    Coggins, Porter E.

    2015-04-01

    The purpose of this paper is (1) to present how general education elementary school age students constructed computer passwords using digital root sums and second-order arithmetic sequences, (2) argue that computer password construction can be used as an engaging introduction to generate interest in elementary school students to study mathematics related to computer science, and (3) share additional mathematical ideas accessible to elementary school students that can be used to create computer passwords. This paper serves to fill a current gap in the literature regarding the integration of mathematical content accessible to upper elementary school students and aspects of computer science in general, and computer password construction in particular. In addition, the protocols presented here can serve as a hook to generate further interest in mathematics and computer science. Students learned to create a random-looking computer password by using biometric measurements of their shoe size, height, and age in months and to create a second-order arithmetic sequence, then converted the resulting numbers into characters that become their computer passwords. This password protocol can be used to introduce students to good computer password habits that can serve a foundation for a life-long awareness of data security. A refinement of the password protocol is also presented.

  7. Effective Teacher Qualities from International Mathematics, Science, and Computer Teachers' Perspectives

    ERIC Educational Resources Information Center

    Sahin, Alpaslan; Adiguzel, Tufan

    2014-01-01

    The purpose of this study is to investigate how international teachers, who were from overseas but taught in the United States, rate effective teacher qualities in three domains; personal, professional, and classroom management skills. The study includes 130 international mathematics, science, and computer teachers who taught in a multi-school…

  8. Inquiry Based-Computational Experiment, Acquisition of Threshold Concepts and Argumentation in Science and Mathematics Education

    ERIC Educational Resources Information Center

    Psycharis, Sarantos

    2016-01-01

    Computational experiment approach considers models as the fundamental instructional units of Inquiry Based Science and Mathematics Education (IBSE) and STEM Education, where the model take the place of the "classical" experimental set-up and simulation replaces the experiment. Argumentation in IBSE and STEM education is related to the…

  9. 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.

  10. 34 CFR 691.1 - Scope and purpose.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... undergraduate students who are pursuing eligible majors in the physical, life, or computer sciences, mathematics..., DEPARTMENT OF EDUCATION ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS ACCESS TO...

  11. 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…

  12. 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)

  13. 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.

  14. 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.

  15. 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;

  16. 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.

  17. 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.

  18. The effects of home computer access and social capital on mathematics and science achievement among Asian-American high school students in the NELS:88 data set

    NASA Astrophysics Data System (ADS)

    Quigley, Mark Declan

    The purpose of this researcher was to examine specific environmental, educational, and demographic factors and their influence on mathematics and science achievement. In particular, the researcher ascertained the interconnections of home computer access and social capital, with Asian American students and the effect on mathematics and science achievement. Coleman's theory on social capital and parental influence was used as a basis for the analysis of data. Subjects for this study were the base year students from the National Education Longitudinal Study of 1988 (NELS:88) and the subsequent follow-up survey data in 1990, 1992, and 1994. The approximate sample size for this study is 640 ethnic Asians from the NELS:88 database. The analysis was a longitudinal study based on the Student and Parent Base Year responses and the Second Follow-up survey of 1992, when the subjects were in 12th grade. Achievement test results from the NELS:88 data were used to measure achievement in mathematics and science. The NELS:88 test battery was developed to measure both individual status and a student's growth in a number of achievement areas. The subject's responses were analyzed by principal components factor analysis, weights, effect sizes, hierarchial regression analysis, and PLSPath Analysis. The results of this study were that prior ability in mathematics and science is a major influence in the student's educational achievement. Findings from the study support the view that home computer access has a negative direct effect on mathematics and science achievement for both Asian American males and females. None of the social capital factors in the study had either a negative or positive direct effect on mathematics and science achievement although some indirect effects were found. Suggestions were made toward increasing parental involvement in their children's academic endeavors. Computer access in the home should be considered related to television viewing and should be closely monitored by the parents to promote educational uses.

  19. 34 CFR 691.17 - Determination of eligible majors.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... majors in the physical, life, or computer sciences, mathematics, technology, engineering, critical... EDUCATION, DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND... years of study in mathematics and three years of study in the sciences, with a laboratory component in...

  20. 34 CFR 691.17 - Determination of eligible majors.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... majors in the physical, life, or computer sciences, mathematics, technology, engineering, critical... EDUCATION, DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND... years of study in mathematics and three years of study in the sciences, with a laboratory component in...

  1. 34 CFR 691.17 - Determination of eligible majors.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... majors in the physical, life, or computer sciences, mathematics, technology, engineering, critical... EDUCATION, DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND... years of study in mathematics and three years of study in the sciences, with a laboratory component in...

  2. 34 CFR 691.17 - Determination of eligible majors.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... majors in the physical, life, or computer sciences, mathematics, technology, engineering, critical... EDUCATION, DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND... years of study in mathematics and three years of study in the sciences, with a laboratory component in...

  3. 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

  4. Enhancing student engagement to positively impact mathematics anxiety, confidence and achievement for interdisciplinary science subjects

    NASA Astrophysics Data System (ADS)

    Everingham, Yvette L.; Gyuris, Emma; Connolly, Sean R.

    2017-11-01

    Contemporary science educators must equip their students with the knowledge and practical know-how to connect multiple disciplines like mathematics, computing and the natural sciences to gain a richer and deeper understanding of a scientific problem. However, many biology and earth science students are prejudiced against mathematics due to negative emotions like high mathematical anxiety and low mathematical confidence. Here, we present a theoretical framework that investigates linkages between student engagement, mathematical anxiety, mathematical confidence, student achievement and subject mastery. We implement this framework in a large, first-year interdisciplinary science subject and monitor its impact over several years from 2010 to 2015. The implementation of the framework coincided with an easing of anxiety and enhanced confidence, as well as higher student satisfaction, retention and achievement. The framework offers interdisciplinary science educators greater flexibility and confidence in their approach to designing and delivering subjects that rely on mathematical concepts and practices.

  5. One-to-one iPad technology in the middle school mathematics and science classrooms

    NASA Astrophysics Data System (ADS)

    Bixler, Sharon G.

    Science, technology, engineering, and mathematics (STEM) education has become an emphasized component of PreK-12 education in the United States. The US is struggling to produce enough science, mathematics, and technology experts to meet its national and global needs, and the mean scores of science and mathematics students are not meeting the expected levels desired by our leaders (Hossain & Robinson, 2011). In an effort to improve achievement scores in mathematics and science, school districts must consider many components that can contribute to the development of a classroom where students are engaged and growing academically. Computer technology (CT) for student use is a popular avenue for school districts to pursue in their goal to attain higher achievement. The purpose of this study is to examine the use of iPads in a one-to-one setting, where every student has his own device 24/7, to determine the effects, if any, on academic achievement in the areas of mathematics and science. This comparison study used hierarchical linear modeling (HLM) to examine three middle schools in a private school district. Two of the schools have implemented a one-to-one iPad program with their sixth through eighth grades and the third school uses computers on limited occasions in the classroom and in a computer lab setting. The questions addressed were what effect, if any, do the implementation of a one-to-one iPad program and a teacher's perception of his use of constructivist teaching strategies have on student academic achievement in the mathematics and science middle school classrooms. The research showed that although the program helped promote the use of constructivist activities through the use of technology, the one-to-one iPad initiative had no effect on academic achievement in the middle school mathematics and science classrooms.

  6. The Behavioral and Social Sciences Survey: Mathematical Sciences and Social Sciences.

    ERIC Educational Resources Information Center

    Kruskal, William, Ed.

    This book, one of a series prepared in connection with the Behavioral and Social Sciences Survey (BASS) conducted between 1967 and 1969, deals with problems of statistics, mathematics, and computation as they related to the social sciences. Chapter 1 shows how these subjects help in their own ways for studying learning behavior with irregular…

  7. 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.

  8. [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.

  9. 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

  10. 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.

  11. 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.

  12. Can Computers Be Used Successfully for Teaching College Mathematics?

    ERIC Educational Resources Information Center

    Hatfield, Steven H.

    1976-01-01

    Author states that the use of computers in mathematics courses tends to generate interest in course subject matter and make learning a less passive experience. Computers also introduce students to computer science as a field of study, and provide basic knowledge of computers as an important aspect of today's technology. (Author/RW)

  13. Status Report: Mathematics Curriculum-Development Projects Today

    ERIC Educational Resources Information Center

    Arithmetic Teacher, 1972

    1972-01-01

    Brief reports on the Cambridge Conference on School Mathematics, Comprehensive School Mathematics Program, Computer-Assisted Instruction Projects at Stanford, Individually Prescribed Instruction Project, The Madison Project, Mathematics/Science Learning System, MINNEMAST, and School Mathematics Study Group. (MM)

  14. 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.

  15. 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

  16. 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.

  17. The 6th International Conference on Computer Science and Computational Mathematics (ICCSCM 2017)

    NASA Astrophysics Data System (ADS)

    2017-09-01

    The ICCSCM 2017 (The 6th International Conference on Computer Science and Computational Mathematics) has aimed to provide a platform to discuss computer science and mathematics related issues including Algebraic Geometry, Algebraic Topology, Approximation Theory, Calculus of Variations, Category Theory; Homological Algebra, Coding Theory, Combinatorics, Control Theory, Cryptology, Geometry, Difference and Functional Equations, Discrete Mathematics, Dynamical Systems and Ergodic Theory, Field Theory and Polynomials, Fluid Mechanics and Solid Mechanics, Fourier Analysis, Functional Analysis, Functions of a Complex Variable, Fuzzy Mathematics, Game Theory, General Algebraic Systems, Graph Theory, Group Theory and Generalizations, Image Processing, Signal Processing and Tomography, Information Fusion, Integral Equations, Lattices, Algebraic Structures, Linear and Multilinear Algebra; Matrix Theory, Mathematical Biology and Other Natural Sciences, Mathematical Economics and Financial Mathematics, Mathematical Physics, Measure Theory and Integration, Neutrosophic Mathematics, Number Theory, Numerical Analysis, Operations Research, Optimization, Operator Theory, Ordinary and Partial Differential Equations, Potential Theory, Real Functions, Rings and Algebras, Statistical Mechanics, Structure Of Matter, Topological Groups, Wavelets and Wavelet Transforms, 3G/4G Network Evolutions, Ad-Hoc, Mobile, Wireless Networks and Mobile Computing, Agent Computing & Multi-Agents Systems, All topics related Image/Signal Processing, Any topics related Computer Networks, Any topics related ISO SC-27 and SC- 17 standards, Any topics related PKI(Public Key Intrastructures), Artifial Intelligences(A.I.) & Pattern/Image Recognitions, Authentication/Authorization Issues, Biometric authentication and algorithms, CDMA/GSM Communication Protocols, Combinatorics, Graph Theory, and Analysis of Algorithms, Cryptography and Foundation of Computer Security, Data Base(D.B.) Management & Information Retrievals, Data Mining, Web Image Mining, & Applications, Defining Spectrum Rights and Open Spectrum Solutions, E-Comerce, Ubiquitous, RFID, Applications, Fingerprint/Hand/Biometrics Recognitions and Technologies, Foundations of High-performance Computing, IC-card Security, OTP, and Key Management Issues, IDS/Firewall, Anti-Spam mail, Anti-virus issues, Mobile Computing for E-Commerce, Network Security Applications, Neural Networks and Biomedical Simulations, Quality of Services and Communication Protocols, Quantum Computing, Coding, and Error Controls, Satellite and Optical Communication Systems, Theory of Parallel Processing and Distributed Computing, Virtual Visions, 3-D Object Retrievals, & Virtual Simulations, Wireless Access Security, etc. The success of ICCSCM 2017 is reflected in the received papers from authors around the world from several countries which allows a highly multinational and multicultural idea and experience exchange. The accepted papers of ICCSCM 2017 are published in this Book. Please check http://www.iccscm.com for further news. A conference such as ICCSCM 2017 can only become successful using a team effort, so herewith we want to thank the International Technical Committee and the Reviewers for their efforts in the review process as well as their valuable advices. We are thankful to all those who contributed to the success of ICCSCM 2017. The Secretary

  18. It's Going to Happen Anyway....

    ERIC Educational Resources Information Center

    Fusaro, B. A.

    Within the context of the developments in mathematics and computer science, this paper argues that the emergence of the microcomputer gives mathematics the opportunity to survive as a viable and healthy discipline. Section I traces the development of the computer and the position of established mathematics on the sidelines of this development.…

  19. 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

  20. 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

  1. 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

  2. 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…

  3. 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.

  4. NASA/DoD Aerospace Knowledge Diffusion Research Project. Report Number 20. The Use of Selected Information Products and Services by U.S. Aerospace Engineers and Scientists: Results of Two Surveys.

    DTIC Science & Technology

    1994-02-01

    within and between organizations. The technical report has been defined etymologically , according to report content and method (U.S. Department of...number) I AERONAUTICS 6 MATHEMATICAL & COMPUTER SCIENCES 2 ASTRONAUTICS 7 MATERIALS & CHEMISTRY 3 ENGINEERING 8 PHYSICS 4 GEOSCIENCES 9 SPACE SCIENCES 5...the application of your work? (Circle ONLY one number) 1 AERONAUTICS 6 MATHEMATICAL & COMPUTER SCIENCES 2 ASTRONAUTICS 7 MATERIALS & CHEMISTRY 3

  5. Annotated Computer Output for Illustrative Examples of Clustering Using the Mixture Method and Two Comparable Methods from SAS.

    DTIC Science & Technology

    1987-06-26

    BUREAU OF STANDAR-S1963-A Nw BOM -ILE COPY -. 4eo .?3sa.9"-,,A WIN* MAT HEMATICAL SCIENCES _*INSTITUTE AD-A184 687 DTICS!ELECTE ANNOTATED COMPUTER OUTPUT...intoduction to the use of mixture models in clustering. Cornell University Biometrics Unit Technical Report BU-920-M and Mathematical Sciences Institute...mixture method and two comparable methods from SAS. Cornell University Biometrics Unit Technical Report BU-921-M and Mathematical Sciences Institute

  6. An Amazing Algorithm

    ERIC Educational Resources Information Center

    Snapp, Robert R.; Neumann, Maureen D.

    2015-01-01

    The rapid growth of digital technology, including the worldwide adoption of mobile and embedded computers, places new demands on K-grade 12 educators and their students. Young people should have an opportunity to learn the technical knowledge of computer science (e.g., computer programming, mathematical logic, and discrete mathematics) in order to…

  7. 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…

  8. [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.

  9. The Influence of Computers and Informatics on Mathematics and Its Teaching. Science and Technology Education Series, 44.

    ERIC Educational Resources Information Center

    Cornu, Bernard, Ed.; Ralston, Anthony, Ed.

    In 1985 the International Commission on Mathematical Instruction (ICMI) published the first edition of a book of studies on the topic of the influence of computers on mathematics and the teaching of mathematics. This document is an updated version of that book and includes five articles from the 1985 ICMI conference at Strasbourg, France; reports…

  10. Computer Simulations: Inelegant Mathematics and Worse Social Science?

    ERIC Educational Resources Information Center

    Alker, Hayward R., Jr.

    1974-01-01

    Achievements, limitations, and difficulties of social science simulation efforts are discussed with particular reference to three examples. The pedagogical use of complementary developmental, philosophical, mathematical, and scientific approaches is advocated to minimize potential abuses of social simulation research. (LS)

  11. 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).

  12. 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.

  13. 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.

  14. 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;

  15. 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…

  16. NASA Tech Briefs, June 1997. Volume 21, No. 6

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics include: Computer Hardware and Peripherals; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Books and Reports.

  17. NASA Tech Briefs, November 1999. Volume 23, No. 11

    NASA Technical Reports Server (NTRS)

    1999-01-01

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

  18. Models of Individual Trajectories in Computer-Assisted Instruction for Deaf Students. Technical Report No. 214.

    ERIC Educational Resources Information Center

    Suppes, P.; And Others

    From some simple and schematic assumptions about information processing, a stochastic differential equation is derived for the motion of a student through a computer-assisted elementary mathematics curriculum. The mathematics strands curriculum of the Institute for Mathematical Studies in the Social Sciences is used to test: (1) the theory and (2)…

  19. What Is the Predict Level of Which Computer Using Skills Measured in PISA for Achievement in Mathematics

    ERIC Educational Resources Information Center

    Ziya, Engin; Dogan, Nuri; Kelecioglu, Hulya

    2010-01-01

    This study aims at determining the extent to which computer using skills specified in Project for International Students Evaluation (PISA) 2006 predict Turkish students' achievement in mathematics. Apart from questions on mathematics, science and reading competencies, a student questionnaire, a school questionnaire and a parent questionnaire were…

  20. An Interdisciplinary Collaboration between Computer Engineering and Mathematics/Bilingual Education to Develop a Curriculum for Underrepresented Middle School Students

    ERIC Educational Resources Information Center

    Celedón-Pattichis, Sylvia; LópezLeiva, Carlos Alfonso; Pattichis, Marios S.; Llamocca, Daniel

    2013-01-01

    There is a strong need in the United States to increase the number of students from underrepresented groups who pursue careers in Science, Technology, Engineering, and Mathematics. Drawing from sociocultural theory, we present approaches to establishing collaborations between computer engineering and mathematics/bilingual education faculty to…

  1. 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…

  2. Using conventional and in situ transmission electron microscopy techniques to understand nanoscale crystallography

    NASA Astrophysics Data System (ADS)

    Hudak, Bethany M.

    Science, technology, engineering, and mathematics (STEM) education has become an emphasized component of PreK-12 education in the United States. The US is struggling to produce enough science, mathematics, and technology experts to meet its national and global needs, and the mean scores of science and mathematics students are not meeting the expected levels desired by our leaders (Hossain & Robinson, 2011). In an effort to improve achievement scores in mathematics and science, school districts must consider many components that can contribute to the development of a classroom where students are engaged and growing academically. Computer technology (CT) for student use is a popular avenue for school districts to pursue in their goal to attain higher achievement. The purpose of this study is to examine the use of iPads in a one-to-one setting, where every student has his own device 24/7, to determine the effects, if any, on academic achievement in the areas of mathematics and science. This comparison study used hierarchical linear modeling (HLM) to examine three middle schools in a private school district. Two of the schools have implemented a one-to-one iPad program with their sixth through eighth grades and the third school uses computers on limited occasions in the classroom and in a computer lab setting. The questions addressed were what effect, if any, do the implementation of a one-to-one iPad program and a teacher's perception of his use of constructivist teaching strategies have on student academic achievement in the mathematics and science middle school classrooms. The research showed that although the program helped promote the use of constructivist activities through the use of technology, the one-to-one iPad initiative had no effect on academic achievement in the middle school mathematics and science classrooms.

  3. 34 CFR 691.1 - Scope and purpose.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS..., fifth-year undergraduate students who are pursuing eligible majors in the physical, life, or computer sciences, mathematics, technology, or engineering or a critical foreign language meet the cost of their...

  4. 34 CFR 691.1 - Scope and purpose.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS..., fifth-year undergraduate students who are pursuing eligible majors in the physical, life, or computer sciences, mathematics, technology, or engineering or a critical foreign language meet the cost of their...

  5. 34 CFR 691.1 - Scope and purpose.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS..., fifth-year undergraduate students who are pursuing eligible majors in the physical, life, or computer sciences, mathematics, technology, or engineering or a critical foreign language meet the cost of their...

  6. 34 CFR 691.1 - Scope and purpose.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., DEPARTMENT OF EDUCATION (CONTINUED) ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS..., fifth-year undergraduate students who are pursuing eligible majors in the physical, life, or computer sciences, mathematics, technology, or engineering or a critical foreign language meet the cost of their...

  7. Enhancing Student Writing and Computer Programming with LATEX and MATLAB in Multivariable Calculus

    ERIC Educational Resources Information Center

    Sullivan, Eric; Melvin, Timothy

    2016-01-01

    Written communication and computer programming are foundational components of an undergraduate degree in the mathematical sciences. All lower-division mathematics courses at our institution are paired with computer-based writing, coding, and problem-solving activities. In multivariable calculus we utilize MATLAB and LATEX to have students explore…

  8. Summary of research in progress at ICASE

    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, fluid mechanics, and computer science during the period October 1, 1992 through March 31, 1993.

  9. Women of Science, Technology, Engineering, and Mathematics: A Qualitative Exploration into Factors of Success

    ERIC Educational Resources Information Center

    Olund, Jeanine K.

    2012-01-01

    Although the number of women entering science, technology, engineering, and mathematics (STEM) disciplines has increased in recent years, overall there are still more men than women completing four-year degrees in these fields, especially in physics, engineering, and computer science. At higher levels of education and within the workplace, the…

  10. Teaching Mathematics to Non-Mathematics Majors through Applications

    ERIC Educational Resources Information Center

    Abramovich, Sergei; Grinshpan, Arcadii Z.

    2008-01-01

    This article focuses on the important role of applications in teaching mathematics to students with career paths other than mathematics. These include the fields as diverse as education, engineering, business, and life sciences. Particular attention is given to instructional computing as a means for concept development in mathematics education…

  11. NASA Tech Briefs, December 2002

    NASA Technical Reports Server (NTRS)

    2002-01-01

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

  12. Undergraduate Training for Industrial Careers.

    ERIC Educational Resources Information Center

    Stehney, Ann K.

    1983-01-01

    Forty-eight mathematicians in industry, business, and government replied to a questionnaire on the relative merits of the traditional undergraduate curriculum, advanced topics in pure mathematics, computer programing, additional computer science, and specialized or applied topics. They favored programing and applied mathematics, along with a…

  13. From boring to scoring - a collaborative serious game for learning and practicing mathematical logic for computer science education

    NASA Astrophysics Data System (ADS)

    Schäfer, Andreas; Holz, Jan; Leonhardt, Thiemo; Schroeder, Ulrik; Brauner, Philipp; Ziefle, Martina

    2013-06-01

    In this study, we address the problem of low retention and high dropout rates of computer science university students in early semesters of the studies. Complex and high abstract mathematical learning materials have been identified as one reason for the dropout rate. In order to support the understanding and practicing of core mathematical concepts, we developed a game-based multitouch learning environment in which the need for a suitable learning environment for mathematical logic was combined with the ability to train cooperation and collaboration in a learning scenario. As application domain, the field of mathematical logic had been chosen. The development process was accomplished along three steps: First, ethnographic interviews were run with 12 students of computer science revealing typical problems with mathematical logic. Second, a multitouch learning environment was developed. The game consists of multiple learning and playing modes in which teams of students can collaborate or compete against each other. Finally, a twofold evaluation of the environment was carried out (user study and cognitive walk-through). Overall, the evaluation showed that the game environment was easy to use and rated as helpful: The chosen approach of a multiplayer game supporting competition, collaboration, and cooperation is perceived as motivating and "fun."

  14. 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

  15. NASA Tech Briefs, November 2000. Volume 24, No. 11

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Topics covered include: 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; Data Acquisition.

  16. Improving science and mathematics education with computational modelling in interactive engagement environments

    NASA Astrophysics Data System (ADS)

    Neves, Rui Gomes; Teodoro, Vítor Duarte

    2012-09-01

    A teaching approach aiming at an epistemologically balanced integration of computational modelling in science and mathematics education is presented. The approach is based on interactive engagement learning activities built around computational modelling experiments that span the range of different kinds of modelling from explorative to expressive modelling. The activities are designed to make a progressive introduction to scientific computation without requiring prior development of a working knowledge of programming, generate and foster the resolution of cognitive conflicts in the understanding of scientific and mathematical concepts and promote performative competency in the manipulation of different and complementary representations of mathematical models. The activities are supported by interactive PDF documents which explain the fundamental concepts, methods and reasoning processes using text, images and embedded movies, and include free space for multimedia enriched student modelling reports and teacher feedback. To illustrate, an example from physics implemented in the Modellus environment and tested in undergraduate university general physics and biophysics courses is discussed.

  17. Introductory Life Science Mathematics and Quantitative Neuroscience Courses

    ERIC Educational Resources Information Center

    Duffus, Dwight; Olifer, Andrei

    2010-01-01

    We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an…

  18. Encouraging more women into computer science: Initiating a single-sex intervention program in Sweden

    NASA Astrophysics Data System (ADS)

    Brandell, Gerd; Carlsson, Svante; Ekblom, Håkan; Nord, Ann-Charlotte

    1997-11-01

    The process of starting a new program in computer science and engineering, heavily based on applied mathematics and only open to women, is described in this paper. The program was introduced into an educational system without any tradition in single-sex education. Important observations made during the process included the considerable interest in mathematics and curiosity about computer science found among female students at the secondary school level, and the acceptance of the single-sex program by the staff, administration, and management of the university as well as among male and female students. The process described highlights the importance of preparing the environment for a totally new type of educational program.

  19. NASA Tech Briefs, August 1992. Volume 16, No. 8

    NASA Technical Reports Server (NTRS)

    1992-01-01

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

  20. NASA Tech Briefs, September 1992. Volume 16, No.9

    NASA Technical Reports Server (NTRS)

    1992-01-01

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

  1. NASA Tech Briefs, January 1993. Volume 17, No. 1

    NASA Technical Reports Server (NTRS)

    1993-01-01

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

  2. NASA Tech Briefs, November 1992. Volume 16, No. 11

    NASA Technical Reports Server (NTRS)

    1992-01-01

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

  3. NASA Tech Briefs, December 1992. Volume 16, No. 12

    NASA Technical Reports Server (NTRS)

    1992-01-01

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

  4. 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…

  5. Gendered Pathways: How Mathematics Ability Beliefs Shape Secondary and Postsecondary Course and Degree Field Choices

    PubMed Central

    Perez-Felkner, Lara; Nix, Samantha; Thomas, Kirby

    2017-01-01

    Do mathematics ability beliefs explain gender gaps in the physical science, engineering, mathematics, and computer science fields (PEMC) and other science fields? We leverage U.S. nationally representative longitudinal data to estimate gendered differences in girls' and boys' perceptions of mathematics ability with the most difficult or challenging material. Our analyses examine the potentially interacting effects of gender and these ability beliefs on students' pathways to scientific careers. Specifically, we study how beliefs about ability with challenging mathematics influence girls' and boys' choices to pursue PEMC degrees, evaluating educational milestones over a 6-year period: advanced science course completion in secondary school and postsecondary major retention and selection. Our findings indicate even at the same levels of observed ability, girls' mathematics ability beliefs under challenge are markedly lower than those of boys. These beliefs matter over time, potentially tripling girls' chances of majoring in PEMC sciences, over and above biological science fields, all else being equal. Implications and potential interventions are discussed. PMID:28428762

  6. Gendered Pathways: How Mathematics Ability Beliefs Shape Secondary and Postsecondary Course and Degree Field Choices.

    PubMed

    Perez-Felkner, Lara; Nix, Samantha; Thomas, Kirby

    2017-01-01

    Do mathematics ability beliefs explain gender gaps in the physical science, engineering, mathematics, and computer science fields (PEMC) and other science fields? We leverage U.S. nationally representative longitudinal data to estimate gendered differences in girls' and boys' perceptions of mathematics ability with the most difficult or challenging material. Our analyses examine the potentially interacting effects of gender and these ability beliefs on students' pathways to scientific careers. Specifically, we study how beliefs about ability with challenging mathematics influence girls' and boys' choices to pursue PEMC degrees, evaluating educational milestones over a 6-year period: advanced science course completion in secondary school and postsecondary major retention and selection. Our findings indicate even at the same levels of observed ability, girls' mathematics ability beliefs under challenge are markedly lower than those of boys. These beliefs matter over time, potentially tripling girls' chances of majoring in PEMC sciences, over and above biological science fields, all else being equal. Implications and potential interventions are discussed.

  7. Introductory life science mathematics and quantitative neuroscience courses.

    PubMed

    Duffus, Dwight; Olifer, Andrei

    2010-01-01

    We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an upper-division course in computational neuroscience. We provide a description of each course, detailed syllabi, examples of content, and a brief discussion of the main issues encountered in developing and offering the courses.

  8. NASA Tech Briefs, October 1989. Volume 13, No. 10

    NASA Technical Reports Server (NTRS)

    1989-01-01

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

  9. NASA Tech Briefs, February 1990. Volume 14, No. 2

    NASA Technical Reports Server (NTRS)

    1990-01-01

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

  10. NASA Tech Briefs, January 1990. Volume 14, No. 1

    NASA Technical Reports Server (NTRS)

    1990-01-01

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

  11. NASA Tech Briefs, November 1989. Volume 13, No. 11

    NASA Technical Reports Server (NTRS)

    1989-01-01

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

  12. NASA Tech Briefs, September 1989. Volume 13, No. 9

    NASA Technical Reports Server (NTRS)

    1989-01-01

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

  13. NASA Tech Briefs, October 1992. Volume 16, No. 10

    NASA Technical Reports Server (NTRS)

    1992-01-01

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

  14. NASA Tech Briefs, December 1989. Volume 13, No. 12

    NASA Technical Reports Server (NTRS)

    1989-01-01

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

  15. NASA Tech Briefs, April 1993. Volume 17, No. 4

    NASA Technical Reports Server (NTRS)

    1993-01-01

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

  16. NASA Tech Briefs, March 1990. Volume 14, No. 3

    NASA Technical Reports Server (NTRS)

    1990-01-01

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

  17. Semiannual final report, 1 October 1991 - 31 March 1992

    NASA Technical Reports Server (NTRS)

    1992-01-01

    A summary of research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period 1 Oct. 1991 through 31 Mar. 1992 is presented.

  18. Reproducible research in vadose zone sciences

    USDA-ARS?s Scientific Manuscript database

    A significant portion of present-day soil and Earth science research is computational, involving complex data analysis pipelines, advanced mathematical and statistical models, and sophisticated computer codes. Opportunities for scientific progress are greatly diminished if reproducing and building o...

  19. NASA Tech Briefs, July 1995. Volume 19, No. 7

    NASA Technical Reports Server (NTRS)

    1995-01-01

    Topics include: mechanical components, electronic components and circuits, electronic systems, physical sciences, materials, computer programs, mechanics, machinery, manufacturing/fabrication, mathematics and information sciences, book and reports, and a special section of Federal laboratory computing Tech Briefs.

  20. NASA Tech Briefs, August 2000. Volume 24, No. 8

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Topics include: Simulation/Virtual Reality; Test and Measurement; 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; Medical Design.

  1. Cactus: Writing an Article

    ERIC Educational Resources Information Center

    Hyde, Hartley; Spencer, Toby

    2010-01-01

    Some people became mathematics or science teachers by default. There was once such a limited range of subjects that students who could not write essays did mathematics and science. Computers changed that. Word processor software helped some people overcome huge spelling and grammar hurdles and made it easy to edit and manipulate text. Would-be…

  2. 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…

  3. An Empirical Investigation of Variance Design Parameters for Planning Cluster-Randomized Trials of Science Achievement.

    PubMed

    Westine, Carl D; Spybrook, Jessaca; Taylor, Joseph A

    2013-12-01

    Prior research has focused primarily on empirically estimating design parameters for cluster-randomized trials (CRTs) of mathematics and reading achievement. Little is known about how design parameters compare across other educational outcomes. This article presents empirical estimates of design parameters that can be used to appropriately power CRTs in science education and compares them to estimates using mathematics and reading. Estimates of intraclass correlations (ICCs) are computed for unconditional two-level (students in schools) and three-level (students in schools in districts) hierarchical linear models of science achievement. Relevant student- and school-level pretest and demographic covariates are then considered, and estimates of variance explained are computed. Subjects: Five consecutive years of Texas student-level data for Grades 5, 8, 10, and 11. Science, mathematics, and reading achievement raw scores as measured by the Texas Assessment of Knowledge and Skills. Results: Findings show that ICCs in science range from .172 to .196 across grades and are generally higher than comparable statistics in mathematics, .163-.172, and reading, .099-.156. When available, a 1-year lagged student-level science pretest explains the most variability in the outcome. The 1-year lagged school-level science pretest is the best alternative in the absence of a 1-year lagged student-level science pretest. Science educational researchers should utilize design parameters derived from science achievement outcomes. © The Author(s) 2014.

  4. 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

  5. Crossing over...Markov meets Mendel.

    PubMed

    Mneimneh, Saad

    2012-01-01

    Chromosomal crossover is a biological mechanism to combine parental traits. It is perhaps the first mechanism ever taught in any introductory biology class. The formulation of crossover, and resulting recombination, came about 100 years after Mendel's famous experiments. To a great extent, this formulation is consistent with the basic genetic findings of Mendel. More importantly, it provides a mathematical insight for his two laws (and corrects them). From a mathematical perspective, and while it retains similarities, genetic recombination guarantees diversity so that we do not rapidly converge to the same being. It is this diversity that made the study of biology possible. In particular, the problem of genetic mapping and linkage-one of the first efforts towards a computational approach to biology-relies heavily on the mathematical foundation of crossover and recombination. Nevertheless, as students we often overlook the mathematics of these phenomena. Emphasizing the mathematical aspect of Mendel's laws through crossover and recombination will prepare the students to make an early realization that biology, in addition to being experimental, IS a computational science. This can serve as a first step towards a broader curricular transformation in teaching biological sciences. I will show that a simple and modern treatment of Mendel's laws using a Markov chain will make this step possible, and it will only require basic college-level probability and calculus. My personal teaching experience confirms that students WANT to know Markov chains because they hear about them from bioinformaticists all the time. This entire exposition is based on three homework problems that I designed for a course in computational biology. A typical reader is, therefore, an instructional staff member or a student in a computational field (e.g., computer science, mathematics, statistics, computational biology, bioinformatics). However, other students may easily follow by omitting the mathematically more elaborate parts. I kept those as separate sections in the exposition.

  6. Crossing Over…Markov Meets Mendel

    PubMed Central

    Mneimneh, Saad

    2012-01-01

    Chromosomal crossover is a biological mechanism to combine parental traits. It is perhaps the first mechanism ever taught in any introductory biology class. The formulation of crossover, and resulting recombination, came about 100 years after Mendel's famous experiments. To a great extent, this formulation is consistent with the basic genetic findings of Mendel. More importantly, it provides a mathematical insight for his two laws (and corrects them). From a mathematical perspective, and while it retains similarities, genetic recombination guarantees diversity so that we do not rapidly converge to the same being. It is this diversity that made the study of biology possible. In particular, the problem of genetic mapping and linkage—one of the first efforts towards a computational approach to biology—relies heavily on the mathematical foundation of crossover and recombination. Nevertheless, as students we often overlook the mathematics of these phenomena. Emphasizing the mathematical aspect of Mendel's laws through crossover and recombination will prepare the students to make an early realization that biology, in addition to being experimental, IS a computational science. This can serve as a first step towards a broader curricular transformation in teaching biological sciences. I will show that a simple and modern treatment of Mendel's laws using a Markov chain will make this step possible, and it will only require basic college-level probability and calculus. My personal teaching experience confirms that students WANT to know Markov chains because they hear about them from bioinformaticists all the time. This entire exposition is based on three homework problems that I designed for a course in computational biology. A typical reader is, therefore, an instructional staff member or a student in a computational field (e.g., computer science, mathematics, statistics, computational biology, bioinformatics). However, other students may easily follow by omitting the mathematically more elaborate parts. I kept those as separate sections in the exposition. PMID:22629235

  7. NASA Tech Briefs, January 1989. Volume 13, No. 1

    NASA Technical Reports Server (NTRS)

    1989-01-01

    Topics include: Electronic Components & and Circuits. Electronic Systems, A Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, Mathematics and Information Sciences, and Life Sciences.

  8. NASA Tech Briefs, June 1993. Volume 17, No. 6

    NASA Technical Reports Server (NTRS)

    1993-01-01

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

  9. NASA Tech Briefs, November 1993. Volume 17, No. 11

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics covered: Advanced Manufacturing; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  10. NASA Tech Briefs, February 1993. Volume 17, No. 2

    NASA Technical Reports Server (NTRS)

    1993-01-01

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

  11. Decision Support Tool for Deep Energy Efficiency Retrofits in DoD Installations

    DTIC Science & Technology

    2014-01-01

    representations (HDMR). Chemical Engineering Science, 57, 4445–4460. 2. Sobol ’, I., 2001. Global sensitivity indices for nonlinear mathematical...models and their Monte Carlo estimates. Mathematics and computers in simulation, 55, 271–280. 3. Sobol , I. and Kucherenko, S., 2009. Derivative based...representations (HDMR). Chemical Engineering Science, 57, 4445–4460. 16. Sobol ’, I., 2001. Global sensitivity indices for nonlinear mathematical models and

  12. Using the Principles of BIO2010 to Develop an Introductory, Interdisciplinary Course for Biology Students

    PubMed Central

    Adams, Peter; Goos, Merrilyn

    2010-01-01

    Modern biological sciences require practitioners to have increasing levels of knowledge, competence, and skills in mathematics and programming. A recent review of the science curriculum at the University of Queensland, a large, research-intensive institution in Australia, resulted in the development of a more quantitatively rigorous undergraduate program. Inspired by the National Research Council's BIO2010 report, a new interdisciplinary first-year course (SCIE1000) was created, incorporating mathematics and computer programming in the context of modern science. In this study, the perceptions of biological science students enrolled in SCIE1000 in 2008 and 2009 are measured. Analysis indicates that, as a result of taking SCIE1000, biological science students gained a positive appreciation of the importance of mathematics in their discipline. However, the data revealed that SCIE1000 did not contribute positively to gains in appreciation for computing and only slightly influenced students' motivation to enroll in upper-level quantitative-based courses. Further comparisons between 2008 and 2009 demonstrated the positive effect of using genuine, real-world contexts to enhance student perceptions toward the relevance of mathematics. The results support the recommendation from BIO2010 that mathematics should be introduced to biology students in first-year courses using real-world examples, while challenging the benefits of introducing programming in first-year courses. PMID:20810961

  13. Science News of the Year.

    ERIC Educational Resources Information Center

    Science News, 1985

    1985-01-01

    Highlights important 1985 science stories appearing in "Science News" under these headings: anthropology and paleontology, astronomy, behavior, biology, biomedicine, chemistry, computers and mathematics, earth sciences, environment, physics, science and society, space sciences, and technology. Each entry includes the volume and page…

  14. Science News of the Year.

    ERIC Educational Resources Information Center

    Science News, 1988

    1988-01-01

    Reviews major science news stories of 1988 as reported in the pages of Science News. Covers the areas of anthropology, astronomy, behavior, biology, biomedicine, chemistry, earth sciences, environment, food science, mathematics and computers, paleobiology, physics, science and society, space sciences, and technology. (YP)

  15. NASA Tech Briefs, January 1992. Volume 16, No. 1

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Topics include: New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Fabrication; Mathematics and Information Sciences; Life Sciences;

  16. NASA Tech Briefs, May 1992. Volume 16, No. 5

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Topics include: New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  17. NASA Tech Briefs, July 1992. Volume 16, No. 7

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Topics include: New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  18. NASA Tech Briefs, March 1992. Volume 16, No. 3

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Topics include: New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  19. NASA Tech Briefs, September 1994. Volume 18, No. 9

    NASA Technical Reports Server (NTRS)

    1994-01-01

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

  20. Introductory Life Science Mathematics and Quantitative Neuroscience Courses

    PubMed Central

    Olifer, Andrei

    2010-01-01

    We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an upper-division course in computational neuroscience. We provide a description of each course, detailed syllabi, examples of content, and a brief discussion of the main issues encountered in developing and offering the courses. PMID:20810971

  1. 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

  2. LASER Tech Briefs, Winter 1994. Volume 2, No. 1

    NASA Technical Reports Server (NTRS)

    Schnirring, Bill (Editor)

    1994-01-01

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

  3. NASA Tech Briefs, May 1993. Volume 17, No. 5

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics include: Advanced Composites and Plastics; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  4. NASA Tech Briefs, February 1992. Volume 16, No. 2

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Topics covered include: New Product Development; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  5. NASA Tech Briefs, July 1993. Volume 17, No. 7

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics include: Data Acquisition and Analysis: Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  6. NASA Tech Briefs, June 1992. Volume 16, No. 6

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Topics covered include: New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  7. NASA Tech Briefs, December 1994. Volume 18, No. 12

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics: Test and Measurement; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports

  8. NASA Tech Briefs, January 1995. Volume 19, No. 1

    NASA Technical Reports Server (NTRS)

    1995-01-01

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

  9. Science News of the Year.

    ERIC Educational Resources Information Center

    Science News, 1984

    1984-01-01

    Reviews important science news stories reported during 1984 in "Science News" magazine. These stories are in the categories of: anthropology and paleontology; behavior; biology; chemistry; computers; mathematics; earth science; the environment; medicine; physics; science and society; space sciences and astronomy; and technology. (JN)

  10. Female and Male Adolescents' Subjective Orientations to Mathematics and the Influence of Those Orientations on Postsecondary Majors

    ERIC Educational Resources Information Center

    Perez-Felkner, Lara; McDonald, Sarah-Kathryn; Schneider, Barbara; Grogan, Erin

    2012-01-01

    Although important strides toward gender parity have been made in several scientific fields, women remain underrepresented in the physical sciences, engineering, mathematics, and computer sciences (PEMCs). This study examines the effects of adolescents' subjective orientations, course taking, and academic performance on the likelihood of majoring…

  11. An Assessment of Research-Doctorate Programs in the United States: Mathematical & Physical Sciences.

    ERIC Educational Resources Information Center

    Jones, Lyle V., Ed.; And Others

    The quality of doctoral-level chemistry (N=145), computer science (N=58), geoscience (N=91), mathematics (N=115), physics (N=123), and statistics/biostatistics (N=64) programs at United States universities was assessed, using 16 measures. These measures focused on variables related to: program size; characteristics of graduates; reputational…

  12. NASA Tech Briefs, May 1991. Volume 15, No. 5

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  13. NASA Tech Briefs, January 1991. Volume 15, No. 1

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences;Life Sciences.

  14. NASA Tech Briefs, September 1991. Volume 15, No. 9

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  15. NASA Tech Briefs, June 1990. Volume 14, No. 6

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  16. NASA Tech Briefs, August 1991. Volume 15, No. 8

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  17. NASA Tech Briefs, February 1991. Volume 15, No. 2

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  18. NASA Tech Briefs, March 1991. Volume 15, No. 3

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  19. NASA Tech Briefs, December 1990. Volume 14, No. 12

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  20. NASA Tech Briefs, June 1991. Volume 15, No. 6

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  1. NASA Tech Briefs, September 1993. Volume 17, No. 9

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics include: Microelectronics; 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.

  2. NASA Tech Briefs, May 1990. Volume 14, No. 5

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  3. NASA Tech Briefs, January 1994. Volume 18, No. 1

    NASA Technical Reports Server (NTRS)

    1994-01-01

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

  4. NASA Tech Briefs, November 1994. Volume 18, No. 11

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics: Advanced Manufacturing; 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. NASA Tech Briefs, April 1991. Volume 15, No. 4

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  6. NASA Tech Briefs, October 1990. Volume 14, No. 10

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical' Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  7. NASA Tech Briefs, October 1991. Volume 15, No. 10

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  8. 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…

  9. 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…

  10. A Novel Approach to Develop the Lower Order Model of Multi-Input Multi-Output System

    NASA Astrophysics Data System (ADS)

    Rajalakshmy, P.; Dharmalingam, S.; Jayakumar, J.

    2017-10-01

    A mathematical model is a virtual entity that uses mathematical language to describe the behavior of a system. Mathematical models are used particularly in the natural sciences and engineering disciplines like physics, biology, and electrical engineering as well as in the social sciences like economics, sociology and political science. Physicists, Engineers, Computer scientists, and Economists use mathematical models most extensively. With the advent of high performance processors and advanced mathematical computations, it is possible to develop high performing simulators for complicated Multi Input Multi Ouptut (MIMO) systems like Quadruple tank systems, Aircrafts, Boilers etc. This paper presents the development of the mathematical model of a 500 MW utility boiler which is a highly complex system. A synergistic combination of operational experience, system identification and lower order modeling philosophy has been effectively used to develop a simplified but accurate model of a circulation system of a utility boiler which is a MIMO system. The results obtained are found to be in good agreement with the physics of the process and with the results obtained through design procedure. The model obtained can be directly used for control system studies and to realize hardware simulators for boiler testing and operator training.

  11. A Seminar in Mathematical Model-Building.

    ERIC Educational Resources Information Center

    Smith, David A.

    1979-01-01

    A course in mathematical model-building is described. Suggested modeling projects include: urban problems, biology and ecology, economics, psychology, games and gaming, cosmology, medicine, history, computer science, energy, and music. (MK)

  12. NASA Tech Briefs, September 1988. Volume 12, No. 8

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  13. NASA Tech Briefs, July/August 1988. Volume 12, No. 7

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  14. LASER Tech Briefs, Fall 1994. Volume 2, No. 4

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics in this issue of LASER Tech briefs include: Electronic Components and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Fabrication Technology, Mathematics and Information Sciences, and Life Sciences

  15. NASA Tech Briefs, October 1988. Volume 12, No. 9

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  16. NASA Tech Briefs, July 1991. Volume 15, No. 7

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  17. NASA Tech Briefs, March 1987. Volume 11, No. 3

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  18. NASA Tech Briefs, May 1987. Volume 11, No. 5

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  19. NASA Tech Briefs, October 1987. Volume 11, No. 9

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  20. NASA Tech Briefs, June 1989. Volume 13, No. 6

    NASA Technical Reports Server (NTRS)

    1989-01-01

    Topics include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  1. NASA Tech Briefs, February 1987. Volume 11, No. 2

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  2. NASA Tech Briefs, January 1987. Volume 11, No. 2

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  3. NASA Tech Briefs, July 1990. Volume 14, No. 7

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  4. NASA Tech Briefs, August 1990. Volume 14, No. 8

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics covered: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  5. NASA Tech Briefs, April 1987. Volume 11, No. 4

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  6. NASA Tech Briefs, September 1987. Volume 11, No. 8

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  7. NASA Tech Briefs, June 1994. Volume 18, No. 6

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics covered include: Microelectronics; 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

  8. NASA Tech Briefs, October 1996. Volume 20, No. 10

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics covered include: Sensors; 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.

  9. NASA Tech Briefs, June 1987. Volume 11, No. 6

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  10. NASA Tech Briefs, August 1989. Volume 13, No. 8

    NASA Technical Reports Server (NTRS)

    1989-01-01

    Topics covered: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  11. Will the digital computer transform classical mathematics?

    PubMed

    Rotman, Brian

    2003-08-15

    Mathematics and machines have influenced each other for millennia. The advent of the digital computer introduced a powerfully new element that promises to transform the relation between them. This paper outlines the thesis that the effect of the digital computer on mathematics, already widespread, is likely to be radical and far-reaching. To articulate this claim, an abstract model of doing mathematics is introduced based on a triad of actors of which one, the 'agent', corresponds to the function performed by the computer. The model is used to frame two sorts of transformation. The first is pragmatic and involves the alterations and progressive colonization of the content and methods of enquiry of various mathematical fields brought about by digital methods. The second is conceptual and concerns a fundamental antagonism between the infinity enshrined in classical mathematics and physics (continuity, real numbers, asymptotic definitions) and the inherently real and material limit of processes associated with digital computation. An example which lies in the intersection of classical mathematics and computer science, the P=NP problem, is analysed in the light of this latter issue.

  12. An Exploratory Case Study of Computer Use in a Primary School Mathematics Classroom: New Technology, New Pedagogy? Research: Information and Communication Technologies

    ERIC Educational Resources Information Center

    Hardman, Joanne

    2005-01-01

    Because computers potentially transform pedagogy, much has been made of their ability to impact positively on student performance, particularly in subjects such as mathematics and science. However, there is currently a dearth of research regarding exactly how the computer acts as a transformative tool in disadvantaged schools. Drawing on a…

  13. NASA Tech Briefs, December 1991. Volume 15, No. 12

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics include: Electronic Components and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, Mathematics and Information Sciences,

  14. Using Computer Simulations to Integrate Learning.

    ERIC Educational Resources Information Center

    Liao, Thomas T.

    1983-01-01

    Describes the primary design criteria and the classroom activities involved in "The Yellow Light Problem," a minicourse on decision making in the secondary school Mathematics, Engineering and Science Achievement (MESA) program in California. Activities include lectures, discussions, science and math labs, computer labs, and development…

  15. Constructing Contracts: Making Discrete Mathematics Relevant to Beginning Programmers

    ERIC Educational Resources Information Center

    Gegg-Harrison, Timothy S.

    2005-01-01

    Although computer scientists understand the importance of discrete mathematics to the foundations of their field, computer science (CS) students do not always see the relevance. Thus, it is important to find a way to show students its relevance. The concept of program correctness is generally taught as an activity independent of the programming…

  16. Computational Modeling and Mathematics Applied to the Physical Sciences.

    ERIC Educational Resources Information Center

    National Academy of Sciences - National Research Council, Washington, DC.

    One aim of this report is to show and emphasize that in the computational approaches to most of today's pressing and challenging scientific and technological problems, the mathematical aspects cannot and should not be considered in isolation. Following an introductory chapter, chapter 2 discusses a number of typical problems leading to…

  17. 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.

  18. 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:…

  19. Materials inspired by mathematics.

    PubMed

    Kotani, Motoko; Ikeda, Susumu

    2016-01-01

    Our world is transforming into an interacting system of the physical world and the digital world. What will be the materials science in the new era? With the rising expectations of the rapid development of computers, information science and mathematical science including statistics and probability theory, 'data-driven materials design' has become a common term. There is knowledge and experience gained in the physical world in the form of know-how and recipes for the creation of material. An important key is how we establish vocabulary and grammar to translate them into the language of the digital world. In this article, we outline how materials science develops when it encounters mathematics, showing some emerging directions.

  20. NASA Tech Briefs, February 1997. Volume 2, No. 2

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics include: Test and Measurement; 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. NASA Tech Briefs, November 1988. Volume 12, No. 10

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics covered include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  2. NASA Tech Briefs, September/October 1986. Volume 10, No. 5

    NASA Technical Reports Server (NTRS)

    1986-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  3. NASA Tech Briefs, November 1996. Volume 20, No. 11

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics covered: Video and Imaging; 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, December 1996. Volume 20, No. 12

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics: Design and Analysis Software; 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. NASA Tech Briefs, May 1996. Volume 20, No. 5

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics include: Video and Imaging;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

  6. NASA Tech Briefs, November/December 1986. Volume 10, No. 6

    NASA Technical Reports Server (NTRS)

    1986-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  7. NASA Tech Briefs, October 1993. Volume 17, No. 10

    NASA Technical Reports Server (NTRS)

    1993-01-01

    Topics include: Sensors; esign 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.

  8. NASA Tech Briefs, May 1994. Volume 18, No. 5

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics covered include: Robotics/Automation; 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.

  9. NASA Tech Briefs, May/June 1986. Volume 10, No. 3

    NASA Technical Reports Server (NTRS)

    1986-01-01

    Topics discussed include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  10. NASA Tech Briefs, September 1990. Volume 14, No. 9

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics covered include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  11. NASA Tech Briefs, November/December 1987. Volume 11, No. 10

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  12. NASA Tech Briefs, February 1994. Volume 18, No. 2

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics covered include: Test and Measurement; 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. NASA Tech Briefs, March 1988. Volume 12, No. 3

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; and Life Sciences.

  14. NASA Tech Briefs, July 1996. Volume 20, No. 7

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics covered include: Mechanical Components; 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

  15. NASA Tech Briefs, July/August 1987. Volume 11, No. 7

    NASA Technical Reports Server (NTRS)

    1987-01-01

    Topics include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Fabrication Technology; Machinery; Mathematics and Information Sciences; Life Sciences.

  16. A Cryptological Way of Teaching Mathematics

    ERIC Educational Resources Information Center

    Caballero-Gil, Pino; Bruno-Castaneda, Carlos

    2007-01-01

    This work addresses the subject of mathematics education at secondary schools from a current and stimulating point of view intimately related to computational science. Cryptology is a captivating way of introducing into the classroom different mathematical subjects such as functions, matrices, modular arithmetic, combinatorics, equations,…

  17. NASA Tech Briefs, November 1991. Volume 15, No. 11

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Topics include: Electronic Components & and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, and Mathematics and Information Sciences,

  18. 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

  19. NASA Tech Briefs, April 1997. Volume 21, No. 4

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics covered include: Video and Imaging; 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.

  20. NASA Tech Briefs, March/April 1986. Volume 10, No. 2

    NASA Technical Reports Server (NTRS)

    1986-01-01

    Topics covered include: NASA TU Services; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences.

  1. NASA Tech Briefs, October 1997. Volume 21, No. 10

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics covered include: Sensors/Imaging; Mechanical Components; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Reports.

  2. NASA Tech Briefs, January 1988. Volume 12, No. 1

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics covered include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; and Life Sciences.

  3. NASA Tech Briefs, April 1994. Volume 18, No. 4

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Topics covered: Advanced Composites and Plastics; 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, August 1996. Volume 20, No. 8

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics covered include: Graphics and Simulation; 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. The Museum of Science and Industry Basic List of Children's Science Books 1973-1984.

    ERIC Educational Resources Information Center

    Richter, Bernice; Wenzel, Duane

    Children's science books are listed under these headings: animals; astronomy; aviation and space; biography; careers; earth sciences; encyclopedias and reference books; environment and conservation; fiction; general science; life sciences; marine life; mathematics and computer science; medical and health sciences; physics and chemistry; plant…

  6. Communities Count: Community Based Sourcebook for Promoting Mathematics & Science Education.

    ERIC Educational Resources Information Center

    Crespo, Hilda; Cid, Nadine

    In the increasingly technological workforce, greater competency in mathematics, science, and computers among Latino and other minority students takes on a new urgency. Hispanic Americans are a vital pool of workers to tap for the nation's future growth. Schools must ensure that Hispanic Americans have the skills they need to enter the labor force…

  7. Becoming Responsible Learners: Community Matters

    ERIC Educational Resources Information Center

    Wiersema, Janice A.; Licklider, Barbara L.; Ebbers, Larry

    2013-01-01

    Students at Iowa State University had the opportunity to enroll in a two-year National Science Foundation (NFS) Scholarship for Service (SFS) leadership development program, in addition to their work within their majors. This interdisciplinary program included faculty and students in computer engineering, computer science, mathematics, political…

  8. Development, Implementation, and Outcomes of an Equitable Computer Science After-School Program: Findings from Middle-School Students

    ERIC Educational Resources Information Center

    Mouza, Chrystalla; Marzocchi, Alison; Pan, Yi-Cheng; Pollock, Lori

    2016-01-01

    Current policy efforts that seek to improve learning in science, technology, engineering, and mathematics (STEM) emphasize the importance of helping all students acquire concepts and tools from computer science that help them analyze and develop solutions to everyday problems. These goals have been generally described in the literature under the…

  9. The IT Gender Gap: Experience, Motivation and Differences in Undergraduate Studies of Computer Science

    ERIC Educational Resources Information Center

    Mirjana, Ivanovic; Zoran, Putnik; Anja, Sisarica; Zoran, Budimac

    2011-01-01

    This paper reports on progress and conclusions of two-year research of gender issues in studying computer science at Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad. Using statistics on data gathered by a survey, the work presented here focused on identifying, understanding, and correlating both female and…

  10. 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

  11. First Look--The Aerospace Database.

    ERIC Educational Resources Information Center

    Kavanagh, Stephen K.; Miller, Jay G.

    1986-01-01

    Presents overview prepared by producer of database newly available in 1985 that covers 10 subject categories: engineering, geosciences, chemistry and materials, space sciences, aeronautics, astronautics, mathematical and computer sciences, physics, social sciences, and life sciences. Database development, unique features, document delivery, sample…

  12. [ICASE Semiannual Report

    NASA Technical Reports Server (NTRS)

    Bushnell, Dennis M. (Technical Monitor)

    2002-01-01

    This report summarizes research conducted at ICASE in applied mathematics, fluid mechanics, computer science, and structures and material sciences during the period October 1, 2001 through March 31, 2002.

  13. [Activities of ICASE}

    NASA Technical Reports Server (NTRS)

    Bushnell, Dennis M. (Technical Monitor)

    2001-01-01

    This report summarizes research conducted at ICASE in applied mathematics, computer science, fluid mechanics, and structures and material sciences during the period October 1, 2000 through March 31, 2001.

  14. [Activities of ICASE

    NASA Technical Reports Server (NTRS)

    Bushnell, Dennis M. (Technical Monitor)

    2002-01-01

    This report summarizes research conducted at ICASE in applied mathematics, computer science, fluid mechanics, and structures and material sciences during the period April 1, 2001 through September 30, 2001.

  15. A Paradigm for the Next Millenium: Health Information Science.

    ERIC Educational Resources Information Center

    Sadler, Lewis

    1991-01-01

    Described is a curriculum for a new multidisciplinary science-Health Information Science-that incorporates aspects of computer science, cognitive psychology, bioengineering, biomedical visualization, medicine, dentistry, anthropology, mathematics, library science, and the visual arts. The situation of the medical illustration profession is…

  16. Electrical Circuits in the Mathematics/Computer Science Classroom.

    ERIC Educational Resources Information Center

    McMillan, Robert D.

    1988-01-01

    Shows how, with little or no electrical background, students can apply Boolean algebra concepts to design and build integrated electrical circuits in the classroom that will reinforce important ideas in mathematics. (PK)

  17. 76 FR 36095 - Notice of Submission for OMB Review

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-06-21

    ..., mathematics, and science literacy. It was first implemented by the National Center for Education Statistics..., mathematics will be the major subject domain. The field test will also include computer-based assessments in...

  18. ICASE

    NASA Technical Reports Server (NTRS)

    1994-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in the areas of (1) applied and numerical mathematics, including numerical analysis and algorithm development; (2) theoretical and computational research in fluid mechanics in selected areas of interest, including acoustics and combustion; (3) experimental research in transition and turbulence and aerodynamics involving Langley facilities and scientists; and (4) computer science.

  19. 1976 annual summary report

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

    Not Available

    1978-03-01

    Abstracts of papers published during the previous calendar year, arranged in accordance with the project titles used in the USDOE Schedule 189 Budget Proposals, are presented. The collection of abstracts supplements the listing of papers published in the Schedule 189. The following subject areas are represented: high-energy physics; nuclear physics; basic energy sciences (nuclear science, materials sciences, solid state physics, materials chemistry); molecular, mathematical, and earth sciences (fundamental interactions, processes and techniques, mathematical and computer sciences); environmental research and development; physical and technological studies (characterization, measurement and monitoring); and nuclear research and applications.

  20. Science modelling in pre-calculus: how to make mathematics problems contextually meaningful

    NASA Astrophysics Data System (ADS)

    Sokolowski, Andrzej; Yalvac, Bugrahan; Loving, Cathleen

    2011-04-01

    'Use of mathematical representations to model and interpret physical phenomena and solve problems is one of the major teaching objectives in high school math curriculum' (National Council of Teachers of Mathematics (NCTM), Principles and Standards for School Mathematics, NCTM, Reston, VA, 2000). Commonly used pre-calculus textbooks provide a wide range of application problems. However, these problems focus students' attention on evaluating or solving pre-arranged formulas for given values. The role of scientific content is reduced to provide a background for these problems instead of being sources of data gathering for inducing mathematical tools. Students are neither required to construct mathematical models based on the contexts nor are they asked to validate or discuss the limitations of applied formulas. Using these contexts, the instructor may think that he/she is teaching problem solving, where in reality he/she is teaching algorithms of the mathematical operations (G. Kulm (ed.), New directions for mathematics assessment, in Assessing Higher Order Thinking in Mathematics, Erlbaum, Hillsdale, NJ, 1994, pp. 221-240). Without a thorough representation of the physical phenomena and the mathematical modelling processes undertaken, problem solving unintentionally appears as simple algorithmic operations. In this article, we deconstruct the representations of mathematics problems from selected pre-calculus textbooks and explicate their limitations. We argue that the structure and content of those problems limits students' coherent understanding of mathematical modelling, and this could result in weak student problem-solving skills. Simultaneously, we explore the ways to enhance representations of those mathematical problems, which we have characterized as lacking a meaningful physical context and limiting coherent student understanding. In light of our discussion, we recommend an alternative to strengthen the process of teaching mathematical modelling - utilization of computer-based science simulations. Although there are several exceptional computer-based science simulations designed for mathematics classes (see, e.g. Kinetic Book (http://www.kineticbooks.com/) or Gizmos (http://www.explorelearning.com/)), we concentrate mainly on the PhET Interactive Simulations developed at the University of Colorado at Boulder (http://phet.colorado.edu/) in generating our argument that computer simulations more accurately represent the contextual characteristics of scientific phenomena than their textual descriptions.

  1. Integrating Mathematical Modeling for Undergraduate Pre-Service Science Education Learning and Instruction in Middle School Classrooms

    ERIC Educational Resources Information Center

    Carrejo, David; Robertson, William H.

    2011-01-01

    Computer-based mathematical modeling in physics is a process of constructing models of concepts and the relationships between them in the scientific characteristics of work. In this manner, computer-based modeling integrates the interactions of natural phenomenon through the use of models, which provide structure for theories and a base for…

  2. Introducing Computational Thinking to Young Learners: Practicing Computational Perspectives through Embodiment in Mathematics Education

    ERIC Educational Resources Information Center

    Sung, Woonhee; Ahn, Junghyun; Black, John B.

    2017-01-01

    A science, technology, engineering, and mathematics-influenced classroom requires learning activities that provide hands-on experiences with technological tools to encourage problem-solving skills (Brophy et al. in "J Eng Educ" 97(3):369-387, 2008; Mataric et al. in "AAAI spring symposium on robots and robot venues: resources for AI…

  3. NASA Tech Briefs, July/August 1986. Volume 10, No. 4

    NASA Technical Reports Server (NTRS)

    1986-01-01

    Topic include: NASA TU Serv1ces; New Product Ideas; Electronic Components and Circuits; Electronic Systems; Materials; Computer Programs; Mechanics; Physical Sciences; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences. 3

  4. NASA Tech Briefs, May 1997. Volume 21, No. 5

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics covered include: Advanced Composites, Plastics and Metals; 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. NASA Tech Briefs, January 1997. Volume 21, No. 1

    NASA Technical Reports Server (NTRS)

    1997-01-01

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

  6. NASA Tech Briefs, April 1992. Volume 16, No. 4

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Topics covered include: New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences.

  7. 78 FR 36754 - Agency Information Collection Activities; Submission to the Office of Management and Budget for...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-19

    ...-year-olds which focuses on assessing students science, mathematics, and reading literacy. PISA was... test will also include computer- based assessments in reading, mathematics, and collaborative problem...

  8. 78 FR 22530 - Agency Information Collection Activities; Comment Request; Program for International Student...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-16

    ... assessment of 15-year-olds which focuses on assessing students science, mathematics, and reading literacy... domain. The field test will also include computer- based assessments in reading, mathematics, and...

  9. Materials inspired by mathematics

    PubMed Central

    Kotani, Motoko; Ikeda, Susumu

    2016-01-01

    Abstract Our world is transforming into an interacting system of the physical world and the digital world. What will be the materials science in the new era? With the rising expectations of the rapid development of computers, information science and mathematical science including statistics and probability theory, ‘data-driven materials design’ has become a common term. There is knowledge and experience gained in the physical world in the form of know-how and recipes for the creation of material. An important key is how we establish vocabulary and grammar to translate them into the language of the digital world. In this article, we outline how materials science develops when it encounters mathematics, showing some emerging directions. PMID:27877877

  10. A Study to Determine the Basic Science and Mathematics Topics Most Needed by Engineering Technology Graduates of Wake Technical Institute in Performing Job Duties.

    ERIC Educational Resources Information Center

    Edwards, Timothy I.; Roberson, Clarence E., Jr.

    A survey of 470 graduates of the six engineering technology programs at Wake Technical Institute--Architectural, Chemical, Civil Engineering, Computer, Electronic Engineering, and Industrial Engineering Technologies--and 227 of their employers was conducted in October, 1979, to determine the science and mathematics topics most needed by…

  11. Computational Typologies of Multidimensional End-of-Primary-School Performance Profiles from an Educational Perspective of Large-Scale TIMSS and PIRLS Surveys

    ERIC Educational Resources Information Center

    Unlu, Ali; Schurig, Michael

    2015-01-01

    Recently, performance profiles in reading, mathematics and science were created using the data collectively available in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS) 2011. In addition, a classification of children to the end of their primary school years was…

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

    ERIC Educational Resources Information Center

    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…

  13. Gender and Belonging in Undergraduate Computer Science: A Comparative Case Study of Student Experiences in Gateway Courses. WCER Working Paper No. 2016-2

    ERIC Educational Resources Information Center

    Benbow, Ross J.; Vivyan, Erika

    2016-01-01

    Building from findings showing that undergraduate computer science continues to have the highest attrition rates proportionally for women within postsecondary science, technology, engineering, and mathematics disciplines--a phenomenon that defies basic social equity goals in a high status field--this paper seeks to better understand how student…

  14. An interdisciplinary collaboration between computer engineering and mathematics/bilingual education to develop a curriculum for underrepresented middle school students

    NASA Astrophysics Data System (ADS)

    Celedón-Pattichis, Sylvia; LópezLeiva, Carlos Alfonso; Pattichis, Marios S.; Llamocca, Daniel

    2013-12-01

    There is a strong need in the United States to increase the number of students from underrepresented groups who pursue careers in Science, Technology, Engineering, and Mathematics. Drawing from sociocultural theory, we present approaches to establishing collaborations between computer engineering and mathematics/bilingual education faculty to address this need. We describe our work through the Advancing Out-of-School Learning in Mathematics and Engineering project by illustrating how an integrated curriculum that is based on mathematics with applications in image and video processing can be designed and how it can be implemented with middle school students from underrepresented groups.

  15. NASA Tech Briefs, December 1997. Volume 21, No. 12

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics: Design and Analysis Software; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Manufacturing/Fabrication; Mathematics and Information Sciences; Books and Reports.

  16. NASA Tech Briefs, May 1988. Volume 12, No. 5

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics : New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics ; Machinery; Fabrication Technology; Mathematics and Information Sciences.

  17. NASA Tech Briefs, November 1990. Volume 14, No. 11

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences.

  18. NASA Tech Briefs, April 1990. Volume 14, No. 4

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Topics: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences.

  19. NASA Tech Briefs, September 1997. Volume 21, No. 9

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics include: Data Acquisition and Analysis; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences.

  20. Computer Programs in Marine Science: Key to Oceanographic Records Documentation No. 5.

    ERIC Educational Resources Information Center

    Firestone, Mary A.

    Presented are abstracts of 700 computer programs in marine science. The programs listed are categorized under a wide range of headings which include physical oceanography, chemistry, coastal and estuarine processes, biology, pollution, air-sea interaction and heat budget, navigation and charting, curve fitting, and applied mathematics. The…

  1. Understanding Initial Undergraduate Expectations and Identity in Computing Studies

    ERIC Educational Resources Information Center

    Kinnunen, Päivi; Butler, Matthew; Morgan, Michael; Nylen, Aletta; Peters, Anne-Kathrin; Sinclair, Jane; Kalvala, Sara; Pesonen, Erkki

    2018-01-01

    There is growing appreciation of the importance of understanding the student perspective in Higher Education (HE) at both institutional and international levels. This is particularly important in Science, Technology, Engineering and Mathematics subjects such as Computer Science (CS) and Engineering in which industry needs are high but so are…

  2. NASA Tech Briefs, June 1995. Volume 19, No. 6

    NASA Technical Reports Server (NTRS)

    1995-01-01

    Topics include: communications technology, electronic components and circuits, electronic systems, physical sciences, materials, computer programs, mechanics, machinery, manufacturing/fabrication, mathematics and information sciences, life sciences, books and reports, a special section of laser Tech Briefs.

  3. Issues in undergraduate education in computational science and high performance computing

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

    Marchioro, T.L. II; Martin, D.

    1994-12-31

    The ever increasing need for mathematical and computational literacy within their society and among members of the work force has generated enormous pressure to revise and improve the teaching of related subjects throughout the curriculum, particularly at the undergraduate level. The Calculus Reform movement is perhaps the best known example of an organized initiative in this regard. The UCES (Undergraduate Computational Engineering and Science) project, an effort funded by the Department of Energy and administered through the Ames Laboratory, is sponsoring an informal and open discussion of the salient issues confronting efforts to improve and expand the teaching of computationalmore » science as a problem oriented, interdisciplinary approach to scientific investigation. Although the format is open, the authors hope to consider pertinent questions such as: (1) How can faculty and research scientists obtain the recognition necessary to further excellence in teaching the mathematical and computational sciences? (2) What sort of educational resources--both hardware and software--are needed to teach computational science at the undergraduate level? Are traditional procedural languages sufficient? Are PCs enough? Are massively parallel platforms needed? (3) How can electronic educational materials be distributed in an efficient way? Can they be made interactive in nature? How should such materials be tied to the World Wide Web and the growing ``Information Superhighway``?« less

  4. Discrete Mathematics in the Schools. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Volume 36.

    ERIC Educational Resources Information Center

    Rosenstein, Joseph G., Ed.; Franzblau, Deborah S., Ed.; Roberts, Fred S., Ed.

    This book is a collection of articles by experienced educators and explains why and how discrete mathematics should be taught in K-12 classrooms. It includes evidence for "why" and practical guidance for "how" and also discusses how discrete mathematics can be used as a vehicle for achieving the broader goals of the major…

  5. Differentiating between Women in Hard and Soft Science and Engineering Disciplines

    ERIC Educational Resources Information Center

    Camp, Amanda G.; Gilleland, Diane S.; Pearson, Carolyn; Vander Putten, James

    2010-01-01

    The intent of this study was to investigate characteristics that differentiate between women in soft (social, psychological, and life sciences) and hard (engineering, mathematics, computer science, physical science) science and engineering disciplines. Using the Beginning Postsecondary Students Longitudinal Study: 1996-2001 (2002), a descriptive…

  6. Brief History of Computer-Assisted Instruction at the Institute for Mathematical Studies in the Social Sciences.

    ERIC Educational Resources Information Center

    Stanford Univ., CA. Inst. for Mathematical Studies in Social Science.

    In 1963, the Institute began a program of research and development in computer-assisted instruction (CAI). Their efforts have been funded at various times by the Carnegie Corporation of New York, The National Science Foundation and the United States Office of Education. Starting with a medium-sized computer and six student stations, the Institute…

  7. Great Computational Intelligence in the Formal Sciences via Analogical Reasoning

    DTIC Science & Technology

    2017-05-08

    computational harnessing of traditional mathematical statistics (as e.g. covered in Hogg, Craig & McKean 2005) is used to power statistical learning techniques...AFRL-AFOSR-VA-TR-2017-0099 Great Computational Intelligence in the Formal Sciences via Analogical Reasoning Selmer Bringsjord RENSSELAER POLYTECHNIC...08-05-2017 2. REPORT TYPE Final Performance 3. DATES COVERED (From - To) 15 Oct 2011 to 31 Dec 2016 4. TITLE AND SUBTITLE Great Computational

  8. Beyond Reason: Eight Great Problems That Reveal the Limits of Science

    NASA Astrophysics Data System (ADS)

    Dewdney, A. K.

    2004-04-01

    A mind-bending excursion to the limits of science and mathematics Are some scientific problems insoluble? In Beyond Reason, internationally acclaimed math and science author A. K. Dewdney answers this question by examining eight insurmountable mathematical and scientific roadblocks that have stumped thinkers across the centuries, from ancient mathematical conundrums such as "squaring the circle," first attempted by the Pythagoreans, to G?del's vexing theorem, from perpetual motion to the upredictable behavior of chaotic systems such as the weather. A. K. Dewdney, PhD (Ontario, Canada), was the author of Scientific American's "Computer Recreations" column for eight years. He has written several critically acclaimed popular math and science books, including A Mathematical Mystery Tour (0-471-40734-8); Yes, We Have No Neutrons (0-471-29586-8); and 200% of Nothing (0-471-14574-2).

  9. Computers in Undergraduate Science Education. Conference Proceedings.

    ERIC Educational Resources Information Center

    Blum, Ronald, Ed.

    Six areas of computer use in undergraduate education, particularly in the fields of mathematics and physics, are discussed in these proceedings. The areas included are: the computational mode; computer graphics; the simulation mode; analog computing; computer-assisted instruction; and the current politics and management of college level computer…

  10. NASA Tech Briefs, June 1988. Volume 12, No. 6

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics covered: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences.

  11. Advances in engineering science, volume 2

    NASA Technical Reports Server (NTRS)

    1976-01-01

    Papers are presented dealing with structural dynamics; structural synthesis; and the nonlinear analysis of structures, structural members, and composite structures and materials. Applications of mathematics and computer science are included.

  12. NASA Tech Briefs, April 1988. Volume 12, No. 4

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences.

  13. NASA Tech Briefs, July 1989. Volume 13, No. 7

    NASA Technical Reports Server (NTRS)

    1989-01-01

    Topics include New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials;;Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences.

  14. Mathematics and statistics research progress report, period ending June 30, 1983

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

    Beauchamp, J. J.; Denson, M. V.; Heath, M. T.

    1983-08-01

    This report is the twenty-sixth in the series of progress reports of Mathematics and Statistics Research of the Computer Sciences organization, Union Carbide Corporation Nuclear Division. Part A records research progress in analysis of large data sets, applied analysis, biometrics research, computational statistics, materials science applications, numerical linear algebra, and risk analysis. Collaboration and consulting with others throughout the Oak Ridge Department of Energy complex are recorded in Part B. Included are sections on biological sciences, energy, engineering, environmental sciences, health and safety, and safeguards. Part C summarizes the various educational activities in which the staff was engaged. Part Dmore » lists the presentations of research results, and Part E records the staff's other professional activities during the report period.« less

  15. Influence of Computer-Aided Assessment on Ways of Working with Mathematics

    ERIC Educational Resources Information Center

    Rønning, Frode

    2017-01-01

    This paper is based on an on-going project for modernizing the basic education in mathematics for engineers at the Norwegian University of Science and Technology. One of the components in the project is using a computer-aided assessment system (Maple T.A.) for handling students' weekly hand-ins. Successful completion of a certain number of problem…

  16. Design and Use Online Platforms to Learn Mathematics and the Use of Them in Simulations of Problems in Applied Sciences

    ERIC Educational Resources Information Center

    Méndez-Fragoso, Ricardo; Villavicencio-Torres, Mirna; Martínez-Moreno, Josué

    2017-01-01

    In this contribution, we show the practical use of the computer to visualise simple computational simulations to show phenomena that occur in everyday life, or require an abstract understanding for being unintuitive phenomena. The relationship of the mathematics to different scientific disciplines motivates us to devise different treatments to…

  17. Bridging CAGD knowledge into CAD/CG applications: Mathematical theories as stepping stones of innovations

    NASA Astrophysics Data System (ADS)

    Gobithaasan, R. U.; Miura, Kenjiro T.; Hassan, Mohamad Nor

    2014-07-01

    Computer Aided Geometric Design (CAGD) which surpasses the underlying theories of Computer Aided Design (CAD) and Computer Graphics (CG) has been taught in a number of Malaysian universities under the umbrella of Mathematical Sciences' faculty/department. On the other hand, CAD/CG is taught either under the Engineering or Computer Science Faculty. Even though CAGD researchers/educators/students (denoted as contributors) have been enriching this field of study by means of article/journal publication, many fail to convert the idea into constructive innovation due to the gap that occurs between CAGD contributors and practitioners (engineers/product/designers/architects/artists). This paper addresses this issue by advocating a number of technologies that can be used to transform CAGD contributors into innovators where immediate impact in terms of practical application can be experienced by the CAD/CG practitioners. The underlying principle of solving this issue is twofold. First would be to expose the CAGD contributors on ways to turn mathematical ideas into plug-ins and second is to impart relevant CAGD theories to CAD/CG to practitioners. Both cases are discussed in detail and the final section shows examples to illustrate the importance of turning mathematical knowledge into innovations.

  18. Overview of the SAMSI year-long program on Statistical, Mathematical and Computational Methods for Astronomy

    NASA Astrophysics Data System (ADS)

    Jogesh Babu, G.

    2017-01-01

    A year-long research (Aug 2016- May 2017) program on `Statistical, Mathematical and Computational Methods for Astronomy (ASTRO)’ is well under way at Statistical and Applied Mathematical Sciences Institute (SAMSI), a National Science Foundation research institute in Research Triangle Park, NC. This program has brought together astronomers, computer scientists, applied mathematicians and statisticians. The main aims of this program are: to foster cross-disciplinary activities; to accelerate the adoption of modern statistical and mathematical tools into modern astronomy; and to develop new tools needed for important astronomical research problems. The program provides multiple avenues for cross-disciplinary interactions, including several workshops, long-term visitors, and regular teleconferences, so participants can continue collaborations, even if they can only spend limited time in residence at SAMSI. The main program is organized around five working groups:i) Uncertainty Quantification and Astrophysical Emulationii) Synoptic Time Domain Surveysiii) Multivariate and Irregularly Sampled Time Seriesiv) Astrophysical Populationsv) Statistics, computation, and modeling in cosmology.A brief description of each of the work under way by these groups will be given. Overlaps among various working groups will also be highlighted. How the wider astronomy community can both participate and benefit from the activities, will be briefly mentioned.

  19. NASA Tech Briefs, February 1989. Volume 13, No. 2

    NASA Technical Reports Server (NTRS)

    1989-01-01

    This issue contains a special feature on shaping the future with Ceramics. Other topics include: Electronic Components & and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, Mathematics and Information Sciences, and Life Sciences,

  20. Laptop Use, Interactive Science Software, and Science Learning among At-Risk Students

    ERIC Educational Resources Information Center

    Zheng, Binbin; Warschauer, Mark; Hwang, Jin Kyoung; Collins, Penelope

    2014-01-01

    This year-long, quasi-experimental study investigated the impact of the use of netbook computers and interactive science software on fifth-grade students' science learning processes, academic achievement, and interest in further science, technology, engineering, and mathematics (STEM) study within a linguistically diverse school district in…

  1. Reach for Reference. Science Online

    ERIC Educational Resources Information Center

    Safford, Barbara Ripp

    2004-01-01

    This brief article describes the database, Science Online, from Facts on File. Science is defined broadly in this database to include archeology, computer technology, medicine, inventions, and mathematics, as well as biology, chemistry, earth sciences, and astronomy. Content also is divided into format categories for browsing purposes:…

  2. Science News of the Year.

    ERIC Educational Resources Information Center

    Science News, 1987

    1987-01-01

    Provides a review of science news stories reported in "Science News" during 1987. References each item to the volume and page number in which the subject was addressed. Contains references on astronomy, behavior, biology, biomedicine, chemistry, earth sciences, environment, mathematics and computers, paleontology and anthropology, physics, science…

  3. NASA Tech Briefs, September 1996. Volume 20, No. 9

    NASA Technical Reports Server (NTRS)

    1996-01-01

    Topics: Data Acquisition and Analysis; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Books and Reports.

  4. 34 CFR 691.2 - Definitions.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... identified by the Secretary under § 691.17(a), in one of the physical, life, or computer sciences..., DEPARTMENT OF EDUCATION ACADEMIC COMPETITIVENESS GRANT (ACG) AND NATIONAL SCIENCE AND MATHEMATICS ACCESS TO...

  5. Mathematical challenges from theoretical/computational chemistry

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

    NONE

    1995-12-31

    The committee believes that this report has relevance and potentially valuable suggestions for a wide range of readers. Target audiences include: graduate departments in the mathematical and chemical sciences; federal and private agencies that fund research in the mathematical and chemical sciences; selected industrial and government research and development laboratories; developers of software and hardware for computational chemistry; and selected individual researchers. Chapter 2 of this report covers some history of computational chemistry for the nonspecialist, while Chapter 3 illustrates the fruits of some past successful cross-fertilization between mathematical scientists and computational/theoretical chemists. In Chapter 4 the committee has assembledmore » a representative, but not exhaustive, survey of research opportunities. Most of these are descriptions of important open problems in computational/theoretical chemistry that could gain much from the efforts of innovative mathematical scientists, written so as to be accessible introductions to the nonspecialist. Chapter 5 is an assessment, necessarily subjective, of cultural differences that must be overcome if collaborative work is to be encouraged between the mathematical and the chemical communities. Finally, the report ends with a brief list of conclusions and recommendations that, if followed, could promote accelerated progress at this interface. Recognizing that bothersome language issues can inhibit prospects for collaborative research at the interface between distinctive disciplines, the committee has attempted throughout to maintain an accessible style, in part by using illustrative boxes, and has included at the end of the report a glossary of technical terms that may be familiar to only a subset of the target audiences listed above.« less

  6. 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.

  7. Mathematical and Computational Challenges in Population Biology and Ecosystems Science

    NASA Technical Reports Server (NTRS)

    Levin, Simon A.; Grenfell, Bryan; Hastings, Alan; Perelson, Alan S.

    1997-01-01

    Mathematical and computational approaches provide powerful tools in the study of problems in population biology and ecosystems science. The subject has a rich history intertwined with the development of statistics and dynamical systems theory, but recent analytical advances, coupled with the enhanced potential of high-speed computation, have opened up new vistas and presented new challenges. Key challenges involve ways to deal with the collective dynamics of heterogeneous ensembles of individuals, and to scale from small spatial regions to large ones. The central issues-understanding how detail at one scale makes its signature felt at other scales, and how to relate phenomena across scales-cut across scientific disciplines and go to the heart of algorithmic development of approaches to high-speed computation. Examples are given from ecology, genetics, epidemiology, and immunology.

  8. Foreign Science and Engineering Doctoral Attainment at American Universities

    ERIC Educational Resources Information Center

    Hamilton, Robert V.

    2010-01-01

    This dissertation analyzes the nearly 100,000 foreign students who attained science and engineering (S&E) doctorates in the five fields of physical sciences, life sciences, engineering, mathematics and computer sciences, and social and behavioral sciences at American universities from 1994 to 2005. Two models are presented. In the first model…

  9. Computational Ecology and Open Science: Tools to Help Manage Lakes for Cyanobacteria in Lakes

    EPA Science Inventory

    Computational ecology is an interdisciplinary field that takes advantage of modern computation abilities to expand our ecological understanding. As computational ecologists, we use large data sets, which often cover large spatial extents, and advanced statistical/mathematical co...

  10. NASA Tech Briefs, August 1997. Volume 21, No. 8

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Topics:Graphics and Simulation; Mechanical Components; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Books and Reports.

  11. How Computer Graphics Work.

    ERIC Educational Resources Information Center

    Prosise, Jeff

    This document presents the principles behind modern computer graphics without straying into the arcane languages of mathematics and computer science. Illustrations accompany the clear, step-by-step explanations that describe how computers draw pictures. The 22 chapters of the book are organized into 5 sections. "Part 1: Computer Graphics in…

  12. Determining and Testing Factors Impacting upon the Supply of Minority and Women Scientists, Engineers, and Technologists for Defense Industries and Installations. Phase 1

    DTIC Science & Technology

    1988-06-01

    other developed * countries and the United States in attitudes towards engineers and teachers of science which need 30 to be investigated Aore thoroughly...physical/environmental and math students, respectively. Anglo females reached their highest representation, 23%, among mathematics students. In the science...including mathematics and computer science) and to the determination of the factors which previous researchers have found to affect the decisions of women

  13. NASA Tech Briefs, March 1996. Volume 20, No. 3

    NASA Technical Reports Server (NTRS)

    1996-01-01

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

  14. LASER Tech Briefs, September 1993. Volume 1, No. 1

    NASA Technical Reports Server (NTRS)

    Schnirring, Bill (Editor)

    1993-01-01

    This edition of LASER Tech briefs contains a feature on photonics. The other topics include: Electronic Components and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, Mathematics and Information Sciences, Life Sciences and books and reports.

  15. Toward integration of in vivo molecular computing devices: successes and challenges

    PubMed Central

    Hayat, Sikander; Hinze, Thomas

    2008-01-01

    The computing power unleashed by biomolecule based massively parallel computational units has been the focus of many interdisciplinary studies that couple state of the art ideas from mathematical logic, theoretical computer science, bioengineering, and nanotechnology to fulfill some computational task. The output can influence, for instance, release of a drug at a specific target, gene expression, cell population, or be a purely mathematical entity. Analysis of the results of several studies has led to the emergence of a general set of rules concerning the implementation and optimization of in vivo computational units. Taking two recent studies on in vivo computing as examples, we discuss the impact of mathematical modeling and simulation in the field of synthetic biology and on in vivo computing. The impact of the emergence of gene regulatory networks and the potential of proteins acting as “circuit wires” on the problem of interconnecting molecular computing device subunits is also highlighted. PMID:19404433

  16. Exposure Science and the US EPA National Center for Computational Toxicology

    EPA Science Inventory

    The emerging field of computational toxicology applies mathematical and computer models and molecular biological and chemical approaches to explore both qualitative and quantitative relationships between sources of environmental pollutant exposure and adverse health outcomes. The...

  17. Formal methods in computer system design

    NASA Astrophysics Data System (ADS)

    Hoare, C. A. R.

    1989-12-01

    This note expounds a philosophy of engineering design which is stimulated, guided and checked by mathematical calculations and proofs. Its application to software engineering promises the same benifits as those derived from the use of mathematics in all other branches of modern science.

  18. NASA Tech Briefs, February 1988. Volume 12, No. 2

    NASA Technical Reports Server (NTRS)

    1988-01-01

    Topics covered include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Systems; and Life Sciences.

  19. NASA Tech Briefs, April 2000. Volume 24, No. 4

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Topics covered include: Imaging/Video/Display Technology; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Bio-Medical; Test and Measurement; Mathematics and Information Sciences; Books and Reports.

  20. Mathematics and Statistics Research Department progress report, period ending June 30, 1982

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

    Denson, M.V.; Funderlic, R.E.; Gosslee, D.G.

    1982-08-01

    This report is the twenty-fifth in the series of progress reports of the Mathematics and Statistics Research Department of the Computer Sciences Division, Union Carbide Corporation Nuclear Division (UCC-ND). Part A records research progress in analysis of large data sets, biometrics research, computational statistics, materials science applications, moving boundary problems, numerical linear algebra, and risk analysis. Collaboration and consulting with others throughout the UCC-ND complex are recorded in Part B. Included are sections on biology, chemistry, energy, engineering, environmental sciences, health and safety, materials science, safeguards, surveys, and the waste storage program. Part C summarizes the various educational activities inmore » which the staff was engaged. Part D lists the presentations of research results, and Part E records the staff's other professional activities during the report period.« less

  1. Scientific Research in British Universities and Colleges 1969-70, Volume I, Physical Sciences.

    ERIC Educational Resources Information Center

    Department of Education and Science, London (England).

    This annual publication (1969-1970) contains brief statements about current research in the physical sciences being conducted at British universities and colleges. Areas included are chemistry, physics, engineering, biochemistry, biometry, biophysics, physical geography, mathematics, computing science, and history and philosophy of science. (CP)

  2. Interest in mathematics and science among students having high mathematics aptitude

    NASA Astrophysics Data System (ADS)

    Ely, Jane Alice

    The study investigates why men and women differ in their interest in mathematics and science and in the pursuit of careers in mathematics and science. The most persistent gender differential in educational standard testing is the scores in mathematics achievement. The mean Scholastic Aptitude Test (Mathematics) scores for women are consistently below that of men by about 40 points. One result of this gender differential in mathematics is that few women entertain a career requiring a robust knowledge of higher mathematics (i.e. engineering, computing, or the physical sciences). A large body of literature has been written attempting to explain why this is happening. Biological, cultural, structural and psychological explanations have been suggested and empirically examined. Controlling for mathematical ability is one method of sorting out these explanations. Eliminating mathematical ability as a factor, this dissertation reports the results of a study of men and women college students who all had high mathematics ability. Thus, any differences we found among them would have to be a result of other variables. Using a Mathematics Placement Exam and the SAT-M, forty-two students (12 males and 30 females) with high scores in both were interviewed. Student were asked about their experiences in high school and college mathematics, their career choices, and their attitudes toward mathematics. The findings, that there were no gender differences in the course selection, attitudes towards mathematics, and career choice, differed from my initial expectations. This negative finding suggests that women with high ability in mathematics are just as likely as men to pursue interests in mathematics and related courses in college and in selecting careers.

  3. NASA Tech Briefs, April 1989. Volume 13, No. 4

    NASA Technical Reports Server (NTRS)

    1989-01-01

    A special feature of this issue is an article about the evolution of high technology in Texas. Topics include: Electronic Components & and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, Mathematics and Information Sciences, and Life Sciences.

  4. Undergraduate Research in Quantum Information Science

    ERIC Educational Resources Information Center

    Lyons, David W.

    2017-01-01

    Quantum Information Science (QIS) is an interdisciplinary field involving mathematics, computer science, and physics. Appealing aspects include an abundance of accessible open problems, active interest and support from government and industry, and an energetic, open, and collaborative international research culture. We describe our student-faculty…

  5. Molecular Mechanics and Dynamics Characterization of an "in silico" Mutated Protein: A Stand-Alone Lab Module or Support Activity for "in vivo" and "in vitro" Analyses of Targeted Proteins

    ERIC Educational Resources Information Center

    Chiang, Harry; Robinson, Lucy C.; Brame, Cynthia J.; Messina, Troy C.

    2013-01-01

    Over the past 20 years, the biological sciences have increasingly incorporated chemistry, physics, computer science, and mathematics to aid in the development and use of mathematical models. Such combined approaches have been used to address problems from protein structure-function relationships to the workings of complex biological systems.…

  6. Strengthening programs in science, engineering and mathematics. Third annual progress report

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

    Sandhu, S.S.

    1997-09-30

    The Division of Natural Sciences and Mathematics at Claflin College consists of the Departments of Biology, Chemistry, Computer Science, Physics, Engineering and Mathematics. It offers a variety of major and minor academic programs designed to meet the mission and objectives of the college. The division`s pursuit to achieve excellence in science education is adversely impacted by the poor academic preparation of entering students and the lack of equipment, facilities and research participation, required to impart adequate academic training and laboratory skills to the students. Funds were received from the US Department of Energy to improve the divisional facilities and laboratorymore » equipment and establish mechanism at pre-college and college levels to increase (1) the pool of high school students who will enroll in Science and Mathematics courses (2) the pool of well qualified college freshmen who will seek careers in Science, Engineering and Mathematics (3) the graduation rate in Science,engineering and Mathematics at the undergraduate level and (4) the pool of well-qualified students who can successfully compete to enter the graduate schools of their choice in the fields of science, engineering, and mathematics. The strategies that were used to achieve the mentioned objectives include: (1) Improved Mentoring and Advisement, (2) Summer Science Camp for 7th and 8th graders, (3) Summer Research Internships for Claflin SEM Seniors, (4) Summer Internships for Rising High School Seniors, (5) Development of Mathematical Skills at Pre-college/Post-secondary Levels, (6) Expansion of Undergraduate Seminars, (7) Exposure of Undergraduates to Guest Speakers/Roll Models, (8) Visitations by Undergraduate Students to Graduate Schools, and (9) Expanded Academic Program in Environmental Chemistry.« less

  7. Recommendations to Support Computational Thinking in the Elementary Classroom

    ERIC Educational Resources Information Center

    Estapa, Anne; Hutchison, Amy; Nadolny, Larysa

    2018-01-01

    Computational thinking is an important and necessary way of thinking for computer programmers and other professionals in science, technology, engineering, and mathematics (STEM). Research on emerging practices around computational thinking that is developed through coding initiatives in schools reports that elementary children typically learn how…

  8. Applied Mathematics at the U.S. Department of Energy: Past, Present and a View to the Future

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

    Brown, D L; Bell, J; Estep, D

    2008-02-15

    Over the past half-century, the Applied Mathematics program in the U.S. Department of Energy's Office of Advanced Scientific Computing Research has made significant, enduring advances in applied mathematics that have been essential enablers of modern computational science. Motivated by the scientific needs of the Department of Energy and its predecessors, advances have been made in mathematical modeling, numerical analysis of differential equations, optimization theory, mesh generation for complex geometries, adaptive algorithms and other important mathematical areas. High-performance mathematical software libraries developed through this program have contributed as much or more to the performance of modern scientific computer codes as themore » high-performance computers on which these codes run. The combination of these mathematical advances and the resulting software has enabled high-performance computers to be used for scientific discovery in ways that could only be imagined at the program's inception. Our nation, and indeed our world, face great challenges that must be addressed in coming years, and many of these will be addressed through the development of scientific understanding and engineering advances yet to be discovered. The U.S. Department of Energy (DOE) will play an essential role in providing science-based solutions to many of these problems, particularly those that involve the energy, environmental and national security needs of the country. As the capability of high-performance computers continues to increase, the types of questions that can be answered by applying this huge computational power become more varied and more complex. It will be essential that we find new ways to develop and apply the mathematics necessary to enable the new scientific and engineering discoveries that are needed. In August 2007, a panel of experts in applied, computational and statistical mathematics met for a day and a half in Berkeley, California to understand the mathematical developments required to meet the future science and engineering needs of the DOE. It is important to emphasize that the panelists were not asked to speculate only on advances that might be made in their own research specialties. Instead, the guidance this panel was given was to consider the broad science and engineering challenges that the DOE faces and identify the corresponding advances that must occur across the field of mathematics for these challenges to be successfully addressed. As preparation for the meeting, each panelist was asked to review strategic planning and other informational documents available for one or more of the DOE Program Offices, including the Offices of Science, Nuclear Energy, Fossil Energy, Environmental Management, Legacy Management, Energy Efficiency & Renewable Energy, Electricity Delivery & Energy Reliability and Civilian Radioactive Waste Management as well as the National Nuclear Security Administration. The panelists reported on science and engineering needs for each of these offices, and then discussed and identified mathematical advances that will be required if these challenges are to be met. A review of DOE challenges in energy, the environment and national security brings to light a broad and varied array of questions that the DOE must answer in the coming years. A representative subset of such questions includes: (1) Can we predict the operating characteristics of a clean coal power plant? (2) How stable is the plasma containment in a tokamak? (3) How quickly is climate change occurring and what are the uncertainties in the predicted time scales? (4) How quickly can an introduced bio-weapon contaminate the agricultural environment in the US? (5) How do we modify models of the atmosphere and clouds to incorporate newly collected data of possibly of new types? (6) How quickly can the United States recover if part of the power grid became inoperable? (7) What are optimal locations and communication protocols for sensing devices in a remote-sensing network? (8) How can new materials be designed with a specified desirable set of properties? In comparing and contrasting these and other questions of importance to DOE, the panel found that while the scientific breadth of the requirements is enormous, a central theme emerges: Scientists are being asked to identify or provide technology, or to give expert analysis to inform policy-makers that requires the scientific understanding of increasingly complex physical and engineered systems. In addition, as the complexity of the systems of interest increases, neither experimental observation nor mathematical and computational modeling alone can access all components of the system over the entire range of scales or conditions needed to provide the required scientific understanding.« less

  9. Theory, Modeling, Software and Hardware Development for Analytical and Computational Materials Science

    NASA Technical Reports Server (NTRS)

    Young, Gerald W.; Clemons, Curtis B.

    2004-01-01

    The focus of this Cooperative Agreement between the Computational Materials Laboratory (CML) of the Processing Science and Technology Branch of the NASA Glenn Research Center (GRC) and the Department of Theoretical and Applied Mathematics at The University of Akron was in the areas of system development of the CML workstation environment, modeling of microgravity and earth-based material processing systems, and joint activities in laboratory projects. These efforts complement each other as the majority of the modeling work involves numerical computations to support laboratory investigations. Coordination and interaction between the modelers, system analysts, and laboratory personnel are essential toward providing the most effective simulations and communication of the simulation results. Toward these means, The University of Akron personnel involved in the agreement worked at the Applied Mathematics Research Laboratory (AMRL) in the Department of Theoretical and Applied Mathematics while maintaining a close relationship with the personnel of the Computational Materials Laboratory at GRC. Network communication between both sites has been established. A summary of the projects we undertook during the time period 9/1/03 - 6/30/04 is included.

  10. Adult Science Learners' Mathematical Mistakes: An Analysis of Responses to Computer-Marked Questions

    ERIC Educational Resources Information Center

    Jordan, Sally

    2014-01-01

    Inspection of thousands of student responses to computer-marked assessment questions has brought insight into the errors made by adult distance learners of science. Most of the questions analysed were in summative use and required students to construct their own response. Both of these things increased confidence in the reliability of the…

  11. Fundamental Computer Science Conceptual Understandings for High School Students Using Original Computer Game Design

    ERIC Educational Resources Information Center

    Ernst, Jeremy V.; Clark, Aaron C.

    2012-01-01

    In 2009, the North Carolina Virtual Public Schools worked with researchers at the William and Ida Friday Institute to produce and evaluate the use of game creation by secondary students as a means for learning content related to career awareness in Science, Technology, Engineering and Mathematics (STEM) disciplines, with particular emphasis in…

  12. Understanding the Role of Prior Knowledge in a Multimedia Learning Application

    ERIC Educational Resources Information Center

    Rias, Riaza Mohd; Zaman, Halimah Badioze

    2013-01-01

    This study looked at the effects that individual differences in prior knowledge have on student understanding in learning with multimedia in a computer science subject. Students were identified as having either low or high prior knowledge from a series of questions asked in a survey conducted at the Faculty of Computer and Mathematical Sciences at…

  13. NASA Tech Briefs, August 1995. Volume 19, No. 8

    NASA Technical Reports Server (NTRS)

    1995-01-01

    There is a special focus on computer graphics and simulation in this issue. Topics covered include : Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer programs, Mechanics; Machinery; Fabrication Technology; and Mathematics and Information Sciences. There is a section on for Laser Technology, which includes a feature on Moving closer to the suns power.

  14. NASA Tech Briefs, January 1996. Volume 20, No. 1

    NASA Technical Reports Server (NTRS)

    1996-01-01

    This issue has a special focus on sensors, and include articles on Electronic Components and Circuits, Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery/Automation, Manufacturing/Fabrication, and Mathematics and Information Sciences

  15. NASA Tech Briefs, March 1989. Volume 13, No. 3

    NASA Technical Reports Server (NTRS)

    1989-01-01

    This issue's special features cover the NASA inventor of the year, and the other nominees for the year. Other Topics include: Electronic Components & and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, Mathematics and Information Sciences, and Life Sciences

  16. 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

  17. 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.

  18. Computer Training Helps Appalachians Compete.

    ERIC Educational Resources Information Center

    Newman, Anne

    1984-01-01

    Describes two computer literacy programs funded by the Appalachian Regional Commission, one using microcomputers to introduce computers to mathematics, science, and vocational education teachers in Mississippi, and the other using a statewide microcomputer network to train West Virginia vocational education students in word processing, spread…

  19. Teaching Reductive Thinking

    ERIC Educational Resources Information Center

    Armoni, Michal; Gal-Ezer, Judith

    2005-01-01

    When dealing with a complex problem, solving it by reduction to simpler problems, or problems for which the solution is already known, is a common method in mathematics and other scientific disciplines, as in computer science and, specifically, in the field of computability. However, when teaching computational models (as part of computability)…

  20. 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.

  1. Careers in Applied Mathematics and Computational Sciences.

    ERIC Educational Resources Information Center

    Society for Industrial and Applied Mathematics, Philadelphia, PA.

    This booklet provides some answers to questions on how mathematics is used in the world of work, what kinds of problems it solves, and why it is the key to so many careers, particularly to the jobs of the 21st century. Part of that preparation is mathematical knowledge, tools such as derivatives, probability, and matrices as well as central themes…

  2. Data-Based Detection of Potential Terrorist Attacks: Statistical and Graphical Methods

    DTIC Science & Technology

    2010-06-01

    Naren; Vasquez-Robinet, Cecilia; Watkinson, Jonathan: "A General Probabilistic Model of the PCR Process," Applied Mathematics and Computation 182(1...September 2006. Seminar, Measuring the effect of Length biased sampling, Mathematical Sciences Section, National Security Agency, 19 September 2006...Committee on National Statistics, 9 February 2007. Invited seminar, Statistical Tests for Bullet Lead Comparisons, Department of Mathematics , Butler

  3. NASA Tech Briefs, April 1996. Volume 20, No. 4

    NASA Technical Reports Server (NTRS)

    1996-01-01

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

  4. A Mathematical Theory of System Information Flow

    DTIC Science & Technology

    2016-06-27

    AFRL-AFOSR-VA-TR-2016-0232 A Mathematical Theory of System Information Flow Michael Mislove ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND THE 6823...MM-YYYY) 17-06-2016 2. REPORT TYPE Final 3. DATES COVERED (From - To) 27MAR2013 - 31MAR2016 4. TITLE AND SUBTITLE A Mathematical Theory of System...systems using techniques from information theory , domain theory and other areas of mathematics and computer science. Over time, the focus shifted

  5. High-Productivity Computing in Computational Physics Education

    NASA Astrophysics Data System (ADS)

    Tel-Zur, Guy

    2011-03-01

    We describe the development of a new course in Computational Physics at the Ben-Gurion University. This elective course for 3rd year undergraduates and MSc. students is being taught during one semester. Computational Physics is by now well accepted as the Third Pillar of Science. This paper's claim is that modern Computational Physics education should deal also with High-Productivity Computing. The traditional approach of teaching Computational Physics emphasizes ``Correctness'' and then ``Accuracy'' and we add also ``Performance.'' Along with topics in Mathematical Methods and case studies in Physics the course deals a significant amount of time with ``Mini-Courses'' in topics such as: High-Throughput Computing - Condor, Parallel Programming - MPI and OpenMP, How to build a Beowulf, Visualization and Grid and Cloud Computing. The course does not intend to teach neither new physics nor new mathematics but it is focused on an integrated approach for solving problems starting from the physics problem, the corresponding mathematical solution, the numerical scheme, writing an efficient computer code and finally analysis and visualization.

  6. Solving the Equation: The Variables for Women's Success in Engineering and Computing

    ERIC Educational Resources Information Center

    Corbett, Christianne; Hill, Catherine

    2015-01-01

    During the 2014 White House Science Fair, President Barack Obama used a sports metaphor to explain why we must address the shortage of women in science, technology, engineering, and mathematics (STEM), particularly in the engineering and computing fields: "Half our team, we're not even putting on the field. We've got to change those…

  7. Solving the Equation: The Variables for Women's Success in Engineering and Computing. Executive Summary

    ERIC Educational Resources Information Center

    Corbett, Christianne; Hill, Catherine

    2015-01-01

    During the 2014 White House Science Fair, President Barack Obama used a sports metaphor to explain why we must address the shortage of women in science, technology, engineering, and mathematics (STEM), particularly in the engineering and computing fields: "Half our team, we're not even putting on the field. We've got to change those…

  8. The Unified English Braille Code: Examination by Science, Mathematics, and Computer Science Technical Expert Braille Readers

    ERIC Educational Resources Information Center

    Holbrook, M. Cay; MacCuspie, P. Ann

    2010-01-01

    Braille-reading mathematicians, scientists, and computer scientists were asked to examine the usability of the Unified English Braille Code (UEB) for technical materials. They had little knowledge of the code prior to the study. The research included two reading tasks, a short tutorial about UEB, and a focus group. The results indicated that the…

  9. NASA Tech Briefs, March 1998. Volume 22, No. 3

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Topics include: special coverage of computer aided design and engineering, electronic components and circuits, electronic systems, physical sciences, materials, computer software, special coverage on mechanical technology, machinery/automation, manufacturing/fabrication, mathematics and information sciences, book and reports, and a special section of Electronics Tech Briefs. Profiles of the exhibitors at the National Design Engineering show are also included in this issue.

  10. Foundations in Science and Mathematics Program for Middle School and High School Students

    NASA Astrophysics Data System (ADS)

    Desai, Karna Mahadev; Yang, Jing; Hemann, Jason

    2016-01-01

    The Foundations in Science and Mathematics (FSM) is a graduate student led summer program designed to help middle school and high school students strengthen their knowledge and skills in mathematics and science. FSM provides two-week-long courses over a broad spectrum of disciplines including astronomy, biology, chemistry, computer programming, geology, mathematics, and physics. Students can chose two types of courses: (1) courses that help students learn the fundamental concepts in basic sciences and mathematics (e.g., "Precalculus"); and (2) knowledge courses that might be excluded from formal schooling (e.g., "Introduction to Universe"). FSM has served over 500 students in the Bloomington, IN, community over six years by acquiring funding from Indiana University and the Indiana Space Grant Consortium. FSM offers graduate students the opportunity to obtain first hand experience through independent teaching and curriculum design as well as leadership experience.We present the design of the program, review the achievements, and explore the challenges we face. We are open to collaboration with similar educational outreach programs. For more information, please visit http://www.indiana.edu/~fsm/ .

  11. A brief history of the most remarkable numbers e, i and γ in mathematical sciences with applications

    NASA Astrophysics Data System (ADS)

    Debnath, Lokenath

    2015-08-01

    This paper deals with a brief history of the most remarkable Euler numbers e, i and γ in mathematical sciences. Included are many properties of the constants e, i and γ and their applications in algebra, geometry, physics, chemistry, ecology, business and industry. Special attention is given to the growth and decay phenomena in many real-world problems including stability and instability of their solutions. Some specific and modern applications of logarithms, complex numbers and complex exponential functions to electrical circuits and mechanical systems are presented with examples. Included are the use of complex numbers and complex functions in the description and analysis of chaos and fractals with the aid of modern computer technology. In addition, the phasor method is described with examples of applications in engineering science. The major focus of this paper is to provide basic information through historical approach to mathematics teaching and learning of the fundamental knowledge and skills required for students and teachers at all levels so that they can understand the concepts of mathematics, and mathematics education in science and technology.

  12. Mathematical Education of Engineers.

    ERIC Educational Resources Information Center

    Organisation for Economic Cooperation and Development, Paris (France).

    The seminar reported in this document examined the university mathematics courses which should be available to future engineers, and was especially concerned with the introduction of computer science education. There are four major sections. The first reports a survey of electrical engineers in the United Kingdom which investigated how often they…

  13. Leading Practice in Space Education: Successful Approaches by Specialist Schools

    ERIC Educational Resources Information Center

    Schools Network, 2010

    2010-01-01

    The aim of the Government's Science, Technology, Engineering and Mathematics (STEM) programme is to ensure Britain's future success as a major centre for science, engineering and innovation. Specialist science, technology, engineering and maths & computing colleges help to drive this programme by becoming centres of excellence in STEM…

  14. Scientific Visualization and Computational Science: Natural Partners

    NASA Technical Reports Server (NTRS)

    Uselton, Samuel P.; Lasinski, T. A. (Technical Monitor)

    1995-01-01

    Scientific visualization is developing rapidly, stimulated by computational science, which is gaining acceptance as a third alternative to theory and experiment. Computational science is based on numerical simulations of mathematical models derived from theory. But each individual simulation is like a hypothetical experiment; initial conditions are specified, and the result is a record of the observed conditions. Experiments can be simulated for situations that can not really be created or controlled. Results impossible to measure can be computed.. Even for observable values, computed samples are typically much denser. Numerical simulations also extend scientific exploration where the mathematics is analytically intractable. Numerical simulations are used to study phenomena from subatomic to intergalactic scales and from abstract mathematical structures to pragmatic engineering of everyday objects. But computational science methods would be almost useless without visualization. The obvious reason is that the huge amounts of data produced require the high bandwidth of the human visual system, and interactivity adds to the power. Visualization systems also provide a single context for all the activities involved from debugging the simulations, to exploring the data, to communicating the results. Most of the presentations today have their roots in image processing, where the fundamental task is: Given an image, extract information about the scene. Visualization has developed from computer graphics, and the inverse task: Given a scene description, make an image. Visualization extends the graphics paradigm by expanding the possible input. The goal is still to produce images; the difficulty is that the input is not a scene description displayable by standard graphics methods. Visualization techniques must either transform the data into a scene description or extend graphics techniques to display this odd input. Computational science is a fertile field for visualization research because the results vary so widely and include things that have no known appearance. The amount of data creates additional challenges for both hardware and software systems. Evaluations of visualization should ultimately reflect the insight gained into the scientific phenomena. So making good visualizations requires consideration of characteristics of the user and the purpose of the visualization. Knowledge about human perception and graphic design is also relevant. It is this breadth of knowledge that stimulates proposals for multidisciplinary visualization teams and intelligent visualization assistant software. Visualization is an immature field, but computational science is stimulating research on a broad front.

  15. Computers for the Faculty: How on a Limited Budget.

    ERIC Educational Resources Information Center

    Arman, Hal; Kostoff, John

    An informal investigation of the use of computers at Delta College (DC) in Michigan revealed reasonable use of computers by faculty in disciplines such as mathematics, business, and technology, but very limited use in the humanities and social sciences. In an effort to increase faculty computer usage, DC decided to make computers available to any…

  16. A Turing Machine Simulator.

    ERIC Educational Resources Information Center

    Navarro, Aaron B.

    1981-01-01

    Presents a program in Level II BASIC for a TRS-80 computer that simulates a Turing machine and discusses the nature of the device. The program is run interactively and is designed to be used as an educational tool by computer science or mathematics students studying computational or automata theory. (MP)

  17. The Grinnell Science Project: Results of Over Two Decades of Reform Aimed at Inclusion in Science and Mathematics

    NASA Astrophysics Data System (ADS)

    Mahlab, Minna; Grinnell Science Project Team--Grinnell College

    2015-01-01

    The Grinnell Science Project (GSP) is a program that was developed starting in the early 1990's at Grinnell College -- a selective liberal arts college in Grinnell, Iowa. The GSP program is committed to developing the talents of all students interested in science and mathematics, especially those from groups underrepresented in the sciences -- students of color, first-generation college students, and women in physics, mathematics and computer science. The program developed over several years, drawing on national studies and efforts, and aimed at addressing barriers to success in the sciences. It has involved curricular and mentoring changes, activities and structures that foster acclimation to college life and a community of scientists, and improvement of student achievement. Prior to the full implementation of the Grinnell Science Project, from 1992-1994, an average of 42 science majors graduated annually who were women and eight who were students of color. By 2008, those numbers had jumped to 90 women (a 114% increase) and 21 students of color (a 162.5% increase). In 2009, the GSP was honored with the Presidential Award for Excellence in Science, Engineering, Mathematics, and Engineering Mentoring, administered by the National Science Foundation. Components of the GSP are now mainstream throughout the science curriculum at Grinnell, and almost all science and math faculty have played some role in the program.

  18. Topics in Computational Learning Theory and Graph Algorithms.

    ERIC Educational Resources Information Center

    Board, Raymond Acton

    This thesis addresses problems from two areas of theoretical computer science. The first area is that of computational learning theory, which is the study of the phenomenon of concept learning using formal mathematical models. The goal of computational learning theory is to investigate learning in a rigorous manner through the use of techniques…

  19. Toward Using Games to Teach Fundamental Computer Science Concepts

    ERIC Educational Resources Information Center

    Edgington, Jeffrey Michael

    2010-01-01

    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. …

  20. Division of Computer Research Summary of Awards. Fiscal Year 1984.

    ERIC Educational Resources Information Center

    National Science Foundation, Washington, DC. Directorate for Mathematical and Physical Sciences.

    Provided in this report are summaries of grants awarded by the National Science Foundation Division of Computer Research in fiscal year 1984. Similar areas of research are grouped (for the purposes of this report only) into these major categories: (1) computational mathematics; (2) computer systems design; (3) intelligent systems; (4) software…

  1. Empowering K-12 Students with Disabilities to Learn Computational Thinking and Computer Programming

    ERIC Educational Resources Information Center

    Israel, Maya; Wherfel, Quentin M.; Pearson, Jamie; Shehab, Saadeddine; Tapia, Tanya

    2015-01-01

    This article's focus is on including computing and computational thinking in K-12 instruction within science, technology, engineering, and mathematics (STEM) education, and to provide that instruction in ways that promote access for students traditionally underrepresented in the STEM fields, such as students with disabilities. Providing computing…

  2. Space Mathematics: A Resource for Secondary School Teachers

    NASA Technical Reports Server (NTRS)

    Kastner, Bernice

    1985-01-01

    A collection of mathematical problems related to NASA space science projects is presented. In developing the examples and problems, attention was given to preserving the authenticity and significance of the original setting while keeping the level of mathematics within the secondary school curriculum. Computation and measurement, algebra, geometry, probability and statistics, exponential and logarithmic functions, trigonometry, matrix algebra, conic sections, and calculus are among the areas addressed.

  3. Proceedings of the Conference of the International Group for the Psychology of Mathematics Education (21st, Lahti, Finland, July 14-19, 1997). Volume 2.

    ERIC Educational Resources Information Center

    Pehkonen, Erkki, Ed.

    The second volume of the proceedings of 21st annual meeting of the International Group for the Psychology of Mathematics Education contains the following papers: (1) "The Dilemma of Transparency: Seeing and Seeing through Talk in the Mathematics Classroom" (J. Adler); (2) "Abstraction is Hard in Computer-Science Too" (D.…

  4. Commonwealth of Independent States aerospace science and technology, 1992: A bibliography with indexes

    NASA Technical Reports Server (NTRS)

    1993-01-01

    This bibliography contains 1237 annotated references to reports and journal articles of Commonwealth of Independent States (CIS) intellectual origin entered into the NASA Scientific and Technical Information System during 1992. Representative subject areas include the following: aeronautics, astronautics, chemistry and materials, engineering, geosciences, life sciences, mathematical and computer sciences, physics, social sciences, and space sciences.

  5. Laboratory Directed Research and Development Annual Report for 2011

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

    Hughes, Pamela J.

    2012-04-09

    This report documents progress made on all LDRD-funded projects during fiscal year 2011. The following topics are discussed: (1) Advanced sensors and instrumentation; (2) Biological Sciences; (3) Chemistry; (4) Earth and space sciences; (5) Energy supply and use; (6) Engineering and manufacturing processes; (7) Materials science and technology; (8) Mathematics and computing sciences; (9) Nuclear science and engineering; and (10) Physics.

  6. Computational ecology as an emerging science

    PubMed Central

    Petrovskii, Sergei; Petrovskaya, Natalia

    2012-01-01

    It has long been recognized that numerical modelling and computer simulations can be used as a powerful research tool to understand, and sometimes to predict, the tendencies and peculiarities in the dynamics of populations and ecosystems. It has been, however, much less appreciated that the context of modelling and simulations in ecology is essentially different from those that normally exist in other natural sciences. In our paper, we review the computational challenges arising in modern ecology in the spirit of computational mathematics, i.e. with our main focus on the choice and use of adequate numerical methods. Somewhat paradoxically, the complexity of ecological problems does not always require the use of complex computational methods. This paradox, however, can be easily resolved if we recall that application of sophisticated computational methods usually requires clear and unambiguous mathematical problem statement as well as clearly defined benchmark information for model validation. At the same time, many ecological problems still do not have mathematically accurate and unambiguous description, and available field data are often very noisy, and hence it can be hard to understand how the results of computations should be interpreted from the ecological viewpoint. In this scientific context, computational ecology has to deal with a new paradigm: conventional issues of numerical modelling such as convergence and stability become less important than the qualitative analysis that can be provided with the help of computational techniques. We discuss this paradigm by considering computational challenges arising in several specific ecological applications. PMID:23565336

  7. UC Merced Center for Computational Biology Final Report

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

    Colvin, Michael; Watanabe, Masakatsu

    Final report for the UC Merced Center for Computational Biology. The Center for Computational Biology (CCB) was established to support multidisciplinary scientific research and academic programs in computational biology at the new University of California campus in Merced. In 2003, the growing gap between biology research and education was documented in a report from the National Academy of Sciences, Bio2010 Transforming Undergraduate Education for Future Research Biologists. We believed that a new type of biological sciences undergraduate and graduate programs that emphasized biological concepts and considered biology as an information science would have a dramatic impact in enabling the transformationmore » of biology. UC Merced as newest UC campus and the first new U.S. research university of the 21st century was ideally suited to adopt an alternate strategy - to create a new Biological Sciences majors and graduate group that incorporated the strong computational and mathematical vision articulated in the Bio2010 report. CCB aimed to leverage this strong commitment at UC Merced to develop a new educational program based on the principle of biology as a quantitative, model-driven science. Also we expected that the center would be enable the dissemination of computational biology course materials to other university and feeder institutions, and foster research projects that exemplify a mathematical and computations-based approach to the life sciences. As this report describes, the CCB has been successful in achieving these goals, and multidisciplinary computational biology is now an integral part of UC Merced undergraduate, graduate and research programs in the life sciences. The CCB began in fall 2004 with the aid of an award from U.S. Department of Energy (DOE), under its Genomes to Life program of support for the development of research and educational infrastructure in the modern biological sciences. This report to DOE describes the research and academic programs made possible by the CCB from its inception until August, 2010, at the end of the final extension. Although DOE support for the center ended in August 2010, the CCB will continue to exist and support its original objectives. The research and academic programs fostered by the CCB have led to additional extramural funding from other agencies, and we anticipate that CCB will continue to provide support for quantitative and computational biology program at UC Merced for many years to come. Since its inception in fall 2004, CCB research projects have continuously had a multi-institutional collaboration with Lawrence Livermore National Laboratory (LLNL), and the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, as well as individual collaborators at other sites. CCB affiliated faculty cover a broad range of computational and mathematical research including molecular modeling, cell biology, applied math, evolutional biology, bioinformatics, etc. The CCB sponsored the first distinguished speaker series at UC Merced, which had an important role is spreading the word about the computational biology emphasis at this new campus. One of CCB's original goals is to help train a new generation of biologists who bridge the gap between the computational and life sciences. To archive this goal, by summer 2006, a new program - summer undergraduate internship program, have been established under CCB to train the highly mathematical and computationally intensive Biological Science researchers. By the end of summer 2010, 44 undergraduate students had gone through this program. Out of those participants, 11 students have been admitted to graduate schools and 10 more students are interested in pursuing graduate studies in the sciences. The center is also continuing to facilitate the development and dissemination of undergraduate and graduate course materials based on the latest research in computational biology.« less

  8. The Catalyst Scholarship Program at Hunter College. A Partnership among Earth Science, Physics, Computer Science and Mathematics

    ERIC Educational Resources Information Center

    Salmun, Haydee; Buonaiuto, Frank

    2016-01-01

    The Catalyst Scholarship Program at Hunter College of The City University of New York (CUNY) was established with a four-year award from the National Science Foundation (NSF) to fund scholarships to 40 academically talented but financially disadvantaged students majoring in four disciplines of science, technology, engineering and mathematics…

  9. Videos | Argonne National Laboratory

    Science.gov Websites

    science --Agent-based modeling --Applied mathematics --Artificial intelligence --Cloud computing management -Intelligence & counterterrorrism -Vulnerability assessment -Sensors & detectors Programs

  10. Anesthesiologist Assistant

    MedlinePlus

    ... requirements are met), majors typically are biology, chemistry, physics, mathematics, computer science, or one of the allied health professions, such as respiratory therapy, medical technology, or ...

  11. Usage of Computers and Calculators and Students' Achievement: Results from TIMSS 2003

    ERIC Educational Resources Information Center

    Antonijevic, Radovan

    2007-01-01

    The paper deals with the facts obtained from TIMSS 2003 (Trends in International Mathematics and Science Study). This international comparative study, which includes 47 participant countries worldwide, explores dependence between eighth grade students' achievement in the areas of mathematics, physics, chemistry, biology and geography, and basic…

  12. Project CHAMP, 1985-1986. OEA Evaluation Report.

    ERIC Educational Resources Information Center

    New York City Board of Education, Brooklyn. Office of Educational Assessment.

    The Chinese Achievement and Mastery program, Project CHAMP, was a bilingual (Chinese/English) project offered at three high schools in Manhattan. The major goals were to enable Chinese students of limited English proficiency (LEP) to learn English and to master content in mathematics, science, global history, computer mathematics, and native…

  13. Teaching Mathematical Modelling for Earth Sciences via Case Studies

    NASA Astrophysics Data System (ADS)

    Yang, Xin-She

    2010-05-01

    Mathematical modelling is becoming crucially important for earth sciences because the modelling of complex systems such as geological, geophysical and environmental processes requires mathematical analysis, numerical methods and computer programming. However, a substantial fraction of earth science undergraduates and graduates may not have sufficient skills in mathematical modelling, which is due to either limited mathematical training or lack of appropriate mathematical textbooks for self-study. In this paper, we described a detailed case-study-based approach for teaching mathematical modelling. We illustrate how essential mathematical skills can be developed for students with limited training in secondary mathematics so that they are confident in dealing with real-world mathematical modelling at university level. We have chosen various topics such as Airy isostasy, greenhouse effect, sedimentation and Stokes' flow,free-air and Bouguer gravity, Brownian motion, rain-drop dynamics, impact cratering, heat conduction and cooling of the lithosphere as case studies; and we use these step-by-step case studies to teach exponentials, logarithms, spherical geometry, basic calculus, complex numbers, Fourier transforms, ordinary differential equations, vectors and matrix algebra, partial differential equations, geostatistics and basic numeric methods. Implications for teaching university mathematics for earth scientists for tomorrow's classroom will also be discussed. Refereces 1) D. L. Turcotte and G. Schubert, Geodynamics, 2nd Edition, Cambridge University Press, (2002). 2) X. S. Yang, Introductory Mathematics for Earth Scientists, Dunedin Academic Press, (2009).

  14. 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

  15. 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).

  16. NASA Tech Briefs, December 1995. Volume 19, No. 12

    NASA Technical Reports Server (NTRS)

    1995-01-01

    Topics include: a special focus section on Bio/Medical technology, electronic components and circuits, electronic systems, physical sciences, materials, computer programs, mechanics, machinery, manufacturing/fabrication, mathematics and information sciences, book and reports, and a special section on Laser Tech Briefs.

  17. Assessment of Situated Learning Using Computer Environments.

    ERIC Educational Resources Information Center

    Young, Michael

    1995-01-01

    Suggests that, based on a theory of situated learning, assessment must emphasize process as much as product. Several assessment examples are given, including a computer-based planning assistant for a mathematics and science video, suggestions for computer-based portfolio assessment, and speculations about embedded assessment of virtual situations.…

  18. A Pilot Meta-Analysis of Computer-Based Scaffolding in STEM Education

    ERIC Educational Resources Information Center

    Belland, Brian R.; Walker, Andrew E.; Olsen, Megan Whitney; Leary, Heather

    2015-01-01

    This paper employs meta-analysis to determine the influence of computer-based scaffolding characteristics and study and test score quality on cognitive outcomes in science, technology, engineering, and mathematics education at the secondary, college, graduate, and adult levels. Results indicate that (a) computer-based scaffolding positively…

  19. Examining Key Factors that Contribute to African Americans' Pursuit of Computing Science Degrees: Implications for Cultivating Career Choice and Aspiration

    ERIC Educational Resources Information Center

    Charleston, LaVar Jovan

    2010-01-01

    As a result of decreasing degree attainment in science, technology, engineering, and mathematics (STEM) fields, the United States is undergoing a shortage in the STEM workforce that it has not encountered since the mid-1950s (ACT, 2006; Gilbert & Jackson, 2007). Moreover, as computer usage cuts across diverse aspects of modern culture, the…

  20. Workforce Retention Study in Support of the U.S. Army Aberdeen Test Center Human Capital Management Strategy

    DTIC Science & Technology

    2016-09-01

    Sciences Group 6% 1550s Computer Scientists Group 5% Other 1500s ORSAa, Mathematics, & Statistics Group 3% 1600s Equipment & Facilities Group 4...Employee removal based on misconduct, delinquency , suitability, unsatisfactory performance, or failure to qualify for conversion to a career appointment...average of 10.4% in many areas, but over double the average for the 1550s (Computer Scientists) and other 1500s (ORSA, Mathematics, and Statistics ). Also

  1. 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.

  2. Trenholm State (AL) Technical College High School Science Enrichment Program 1996-1997 Evaluation Report

    NASA Technical Reports Server (NTRS)

    Ross, Elizabeth G.

    1997-01-01

    This document presents findings based on a third-year evaluation of Trenholm State (AL) Technical College's National Aeronautics and Space Administration (NASA) - supported High School Science Enrichment Program (HSSEP). HSSEP is an external (to school) program for area students from groups that are underrepresented in the mathematics, science, engineering and technology (MSET) professions. In addition to gaining insight into scientific careers, HSSEP participants learn about and deliver presentations that focus on mathematics applications, scientific problem-solving and computer programming during a seven-week summer or 10-week Academic-Year Saturday session.

  3. 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

  4. FY 1999 Laboratory Directed Research and Development annual report

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

    PJ Hughes

    2000-06-13

    A short synopsis of each project is given covering the following main areas of research and development: Atmospheric sciences; Biotechnology; Chemical and instrumentation analysis; Computer and information science; Design and manufacture engineering; Ecological science; Electronics and sensors; Experimental technology; Health protection and dosimetry; Hydrologic and geologic science; Marine sciences; Materials science; Nuclear science and engineering; Process science and engineering; Sociotechnical systems analysis; Statistics and applied mathematics; and Thermal and energy systems.

  5. Sex, Class, and Physical Science Educational Attainment: Portions due to Achievement Versus Recruitment

    NASA Astrophysics Data System (ADS)

    Simon, Richard M.; Farkas, George

    Nationally representative data from the National Education Longitudinal Study are used to investigate why males (rather than females) and children of parents with advanced degrees (rather than those from less-educated parents) are more highly represented among physical science bachelor's degrees and graduate students. Parental education is measured by three categories: neither parent has a bachelor's degree, at least one parent has a bachelor's degree, or at least one parent has a degree beyond the bachelor's. Physical science is defined as students majoring in physics, engineering, mathematics, or computer science. The effects of mathematics achievement and effects not accounted for by mathematics achievement (what the authors call "recruitment" effects) are isolated for parental education categories and for sex, allowing inequality in physical science degree attainment to be decomposed into portions due to achievement and portions due to recruitment. Additionally, the results from logistic regressions predicting the attainment of a bachelor's degree in physical science as well as the pursuit of a graduate degree in physical science are presented. It is found that for parental education categories, the gaps in physical science educational attainment are nearly entirely accounted for by differences in mathematics achievement, suggesting that if achievement could be equalized, physical science educational attainment differences among parental education categories would disappear. However, the sex gap in physical science educational attainment operates almost entirely independent of achievement effects, suggesting that if the mathematics achievement distributions of males and females were identical, the sex gap in physical science educational attainment would be unchanged from what it is today.

  6. Index to College Television Courseware. A Comprehensive Directory of Credit Courses and Concept Modules Distributed on Video Tape and Film.

    ERIC Educational Resources Information Center

    Prange, W. Werner; Bellinghausen, Carol R.

    A directory of college television courseware lists offerings in curriculum areas such as: social sciences, biology, black studies, business, mathematics, sciences, computer science, consumer protection, creative arts, drug education, ecology, engineering, humanities, physics, nursing, nutrition, religion, and vocational education, etc. Each course…

  7. STEM Education Act of 2015 (Public Law 114-59)

    ERIC Educational Resources Information Center

    US Congress, 2015

    2015-01-01

    The STEM Education Act of 2015 (Public Law 114-59) was put in place to define Science Technology Engineering and Mathematics (STEM) education to include computer science, and to support existing STEM education programs at the National Science Foundation. The act is organized into the following sections: (1) Short Title; (2) Definition of STEM…

  8. Bureau of Indian Affairs Outstanding Programs in Math, Science and Technology, 1995.

    ERIC Educational Resources Information Center

    Bureau of Indian Affairs (Dept. of Interior), Washington, DC. Office of Indian Education Programs.

    This booklet describes the goals and activities of 20 exemplary programs in mathematics, science and technology for students and teachers in schools operated or funded by the Bureau of Indian Affairs. The programs are: "Computer Home Improvement Reading Program," Beclabito Day School (New Mexico); "Cherokee High School Science:…

  9. Math + Science + Technology = Vocational Preparation for Girls: A Difficult Equation to Balance.

    ERIC Educational Resources Information Center

    Fear-Fenn, Marcia; Kapostasy, Kathy Karako

    1992-01-01

    Females are underrepresented in courses in mathematics, science, and computer and other high technology applications. Research in the last decade has identified a variety of factors that contribute to females' lack of participation in math, science, and technology. These factors include, but are not limited to, the following: stereotypic images…

  10. The Mix of Military and Civilian Faculty at the United States Air Force Academy: Finding a Sustainable Balance for Enduring Success

    DTIC Science & Technology

    2013-01-01

    academic departments are as follows: The Basic Sciences Division includes the Departments of Biology, Chemistry, Computer Science, Mathematical Sciences...percent). This factor is based on actuarial estimates for the costs of the government- paid portion of health insurance under the Federal Employees

  11. Proceedings of the National Science Council, Republic of China. Part D: Mathematics, Science, and Technology Education, 1998.

    ERIC Educational Resources Information Center

    Guo, Chorng-Jee, Ed.

    1998-01-01

    This proceedings covers the domain and content areas of learning and learners; curriculum and materials; instruction (including computer-assisted instruction); assessment and evaluation; history and philosophy of science; teacher preparation and professional development; and related areas of interest including environmental, special, health,…

  12. Opting in and Creating Demand: Why Young People Choose to Teach Mathematics to Each Other

    NASA Astrophysics Data System (ADS)

    Tucker-Raymond, Eli; Lewis, Naama; Moses, Maisha; Milner, Chad

    2016-12-01

    Access to science, technology, engineering, and mathematics fields serves as a key entry point to economic mobility and civic enfranchisement. Such access must take seriously the intellectual power of the knowledge and practices of non-dominant youth. In our case, this has meant to shift epistemic authority in mathematics from academic institutions to young people themselves. This article is about why high school-aged students, from underrepresented groups, choose to participate in an out-of-school time program in which they teach younger children in the domains of mathematics and computer science. It argues for programmatic principles based on access, identity engagement, relationship building, and connections to community to support underrepresented youth as learners, teachers, leaders, and organizers in mathematics-related activities using game design as the focus of activity.

  13. Optimal Cost Avoidance Investment and Pricing Strategies for Performance-Based Post-Production Service Contracts

    DTIC Science & Technology

    2011-04-30

    a BS degree in Mathematics and an MS degree in Statistics and Financial and Actuarial Mathematics from Kiev National Taras Shevchenko University...degrees from Rutgers University in Industrial Engineering (PhD and MS) and Statistics (MS) and from Universidad Nacional Autonoma de Mexico in Actuarial ...Science. His research efforts focus on developing mathematical models for the analysis, computation, and optimization of system performance with

  14. Examining Functions in Mathematics and Science Using Computer Interfacing.

    ERIC Educational Resources Information Center

    Walton, Karen Doyle

    1988-01-01

    Introduces microcomputer interfacing as a method for explaining and demonstrating various aspects of the concept of function. Provides three experiments with illustrations and typical computer graphic displays: pendulum motion, pendulum study using two pendulums, and heat absorption and radiation. (YP)

  15. Introducing Computational Thinking through Hands-on Projects Using R with Applications to Calculus, Probability and Data Analysis

    ERIC Educational Resources Information Center

    Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand

    2017-01-01

    The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…

  16. 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.

  17. 25 CFR 36.3 - Definitions.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... education emphasizing literacy in language arts, mathematics, natural and physical sciences, history, and related social sciences. Bureau means the Bureau of Indian Affairs of the Department of the Interior... specified level of mastery. Computer literacy used here means the general range of skills and understanding...

  18. 25 CFR 36.3 - Definitions.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... education emphasizing literacy in language arts, mathematics, natural and physical sciences, history, and related social sciences. Bureau means the Bureau of Indian Affairs of the Department of the Interior... specified level of mastery. Computer literacy used here means the general range of skills and understanding...

  19. 25 CFR 36.3 - Definitions.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... education emphasizing literacy in language arts, mathematics, natural and physical sciences, history, and related social sciences. Bureau means the Bureau of Indian Affairs of the Department of the Interior... specified level of mastery. Computer literacy used here means the general range of skills and understanding...

  20. NASA Tech Briefs, May 1989. Volume 13, No. 5

    NASA Technical Reports Server (NTRS)

    1989-01-01

    This issue contains a special feature on the flight station of the future, discussing future enhancements to Aircraft cockpits. Topics include: Electronic Components and Circuits. Electronic Systems, Physical Sciences, Materials, Computer Programs, Mechanics, Machinery, Fabrication Technology, and Mathematics and Information Sciences.

  1. 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

  2. PREFACE: IC-MSQUARE 2012: International Conference on Mathematical Modelling in Physical Sciences

    NASA Astrophysics Data System (ADS)

    Kosmas, Theocharis; Vagenas, Elias; Vlachos, Dimitrios

    2013-02-01

    The first International Conference on Mathematical Modelling in Physical Sciences (IC-MSQUARE) took place in Budapest, Hungary, from Monday 3 to Friday 7 September 2012. The conference was attended by more than 130 participants, and hosted about 290 oral, poster and virtual papers by more than 460 pre-registered authors. The first IC-MSQUARE consisted of different and diverging workshops and thus covered various research fields in which mathematical modelling is used, such as theoretical/mathematical physics, neutrino physics, non-integrable systems, dynamical systems, computational nanoscience, biological physics, computational biomechanics, complex networks, stochastic modelling, fractional statistics, DNA dynamics, and macroeconomics. The scientific program was rather heavy since after the Keynote and Invited Talks in the morning, two parallel sessions ran every day. However, according to all attendees, the program was excellent with a high level of talks and the scientific environment was fruitful; thus all attendees had a creative time. The mounting question is whether this occurred accidentally, or whether IC-MSQUARE is a necessity in the field of physical and mathematical modelling. For all of us working in the field, the existing and established conferences in this particular field suffer from two distinguished and recognized drawbacks: the first is the increasing orientation, while the second refers to the extreme specialization of the meetings. Therefore, a conference which aims to promote the knowledge and development of high-quality research in mathematical fields concerned with applications of other scientific fields as well as modern technological trends in physics, chemistry, biology, medicine, economics, sociology, environmental sciences etc., appears to be a necessity. This is the key role that IC-MSQUARE will play. We would like to thank the Keynote Speaker and the Invited Speakers for their significant contributions to IC-MSQUARE. We would also like to thank the members of the International Scientific Committee and the members of the Organizing Committee. Conference Chairmen Theocharis Kosmas Department of Physics, University of Ioannina Elias Vagenas RCAAM, Academy of Athens Dimitrios Vlachos Department of Computer Science and Technology, University of Peloponnese The PDF also contains a list of members of the International Scientific Committes and details of the Keynote and Invited Speakers.

  3. Current Continuing Education Needs of Two-Year College Mathematics Faculty Must Be Met!

    ERIC Educational Resources Information Center

    Sharp, Karen Tabey

    Arguing that rapid developments in technology and changing enrollment patterns make updating the skills of two-year college mathematics faculty an imperative, this paper discusses the ways in which the continuing education needs of faculty members can be met. First, technological developments, especially in the computer sciences, are reviewed, and…

  4. Using a Card Trick to Illustrate Fixed Points and Stability

    ERIC Educational Resources Information Center

    Champanerkar, Jyoti; Jani, Mahendra

    2015-01-01

    Mathematical ideas from number theory, group theory, dynamical systems, and computer science have often been used to explain card tricks. Conversely, playing cards have been often used to illustrate the mathematical concepts of probability distributions and group theory. In this paper, we describe how the 21-card trick may be used to illustrate…

  5. Integration science and distributed networks

    NASA Astrophysics Data System (ADS)

    Landauer, Christopher; Bellman, Kirstie L.

    2002-07-01

    Our work on integration of data and knowledge sources is based in a common theoretical treatment of 'Integration Science', which leads to systematic processes for combining formal logical and mathematical systems, computational and physical systems, and human systems and organizations. The theory is based on the processing of explicit meta-knowledge about the roles played by the different knowledge sources and the methods of analysis and semantic implications of the different data values, together with information about the context in which and the purpose for which they are being combined. The research treatment is primarily mathematical, and though this kind of integration mathematics is still under development, there are some applicable common threads that have emerged already. Instead of describing the current state of the mathematical investigations, since they are not yet crystallized enough for formalisms, we describe our applications of the approach in several different areas, including our focus area of 'Constructed Complex Systems', which are complex heterogeneous systems managed or mediated by computing systems. In this context, it is important to remember that all systems are embedded, all systems are autonomous, and that all systems are distributed networks.

  6. Educational Technology: Computer-Based Instruction. Hearing before the Subcommittee on Technology and Competitiveness of the Committee on Science, Space, and Technology. U.S. House of Representatives, One Hundred Second Congress, First Session.

    ERIC Educational Resources Information Center

    Congress of the U.S., Washington, DC. House Committee on Science, Space and Technology.

    This hearing on computer assisted instruction and the use of educational technology in classrooms was held in response to a presidential request that instructional innovation be given special attention, particularly in science and mathematics education, in every congressional district. This transcript of the hearing includes statements presented…

  7. Abstracts of Research, July 1975-June 1976.

    ERIC Educational Resources Information Center

    Ohio State Univ., Columbus. Computer and Information Science Research Center.

    Abstracts of research papers in computer and information science are given for 62 papers in the areas of information storage and retrieval; computer facilities; information analysis; linguistics analysis; artificial intelligence; information processes in physical, biological, and social systems; mathematical technigues; systems programming;…

  8. Contours identification of elements in a cone beam computed tomography for investigating maxillary cysts

    NASA Astrophysics Data System (ADS)

    Chioran, Doina; Nicoarǎ, Adrian; Roşu, Şerban; Cǎrligeriu, Virgil; Ianeş, Emilia

    2013-10-01

    Digital processing of two-dimensional cone beam computer tomography slicesstarts by identification of the contour of elements within. This paper deals with the collective work of specialists in medicine and applied mathematics in computer science on elaborating and implementation of algorithms in dental 2D imagery.

  9. A Method for Identifying Contours in Processing Digital Images from Computer Tomograph

    NASA Astrophysics Data System (ADS)

    Roşu, Şerban; Pater, Flavius; Costea, Dan; Munteanu, Mihnea; Roşu, Doina; Fratila, Mihaela

    2011-09-01

    The first step in digital processing of two-dimensional computed tomography images is to identify the contour of component elements. This paper deals with the collective work of specialists in medicine and applied mathematics in computer science on elaborating new algorithms and methods in medical 2D and 3D imagery.

  10. Computers in Bilingual Education, Project CIBE, 1987-88. Evaluation Section Report. OREA Report.

    ERIC Educational Resources Information Center

    Berney, Tomi D.; Alvarez, Rosalyn

    Computers in Bilingual Education (Project CIBE) was fully implemented at South Bronx High School in its fourth year of federal funding. During the 1987-88 school year, students received computer-assisted and classroom instruction in English as a Second Language (ESL), native language arts (NLA), social studies, mathematics, science, computer…

  11. 25 CFR 36.3 - Definitions.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... education emphasizing literacy in language arts, mathematics, natural and physical sciences, history, and... needed to function effectively in a society increasingly dependent on computer and information technology...

  12. Persistence of Undergraduate Women in STEM Fields

    ERIC Educational Resources Information Center

    Pedone, Maggie Helene

    2016-01-01

    The underrepresentation of women in science, technology, engineering, and mathematics (STEM) is a complex problem that continues to persist at the postsecondary level, particularly in computer science and engineering fields. This dissertation explored the pre-college and college level factors that influenced undergraduate women's persistence in…

  13. 24 CFR 570.416 - Hispanic-serving institutions work study program.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... to pre-professional careers in these fields. (b) Definitions. The following definitions apply to HSI... such as natural sciences, computer sciences, mathematics, accounting, electronics, engineering, and the... pursuing careers in community building, and make them aware of the availability of assistance opportunities...

  14. What a Chemist Needs to Know--Other than Chemistry.

    ERIC Educational Resources Information Center

    Chemical and Engineering News, 1980

    1980-01-01

    Recommends a range of courses of study which may be important for one pursuing a career in chemistry. Discusses courses in computer science, statistics, public speaking, technical writing, mathematics, physics, economics, market research, psychology, chemical engineering, toxicology, history, foreign language, and science history. (CS)

  15. Students attitude towards calculus subject: Bumiputera case-study

    NASA Astrophysics Data System (ADS)

    Awang, Noorehan; Ilias, Mohd Rijal; Che Hussain, Wan Siti Esah; Mokhtar, Siti Fairus

    2013-04-01

    Mathematics has always become the most dislike subject among other subjects in school. Study showed that attitudes of students in science subjects such as mathematics were closely related to how they solve problems, accessing ideas and making a right decision. According to another study on mathematics achievement of eighth grade students in Malaysia, mathematics grades among bumiputera students was lower when compared to other races such as Chinese and Indians. The poor performance was due to their attitude and pre-conceived ideas towards the subject. Therefore, this study was designed todetermine the criteria and subcriteria that were considered important in measuring students' attitude toward mathematics among the bumiputeras. Factor analysis was carried out to identify the groups among criterion. Instrument used to measure mathematics attitude was Test of Mathematics Related Attitude (TOMRA) which measured student attitudes in four criteria: normality of mathematics, attitudes towards mathematics inquiry, adoption of mathematics attitude and enjoyment of mathematics lessons. The target population of this study was all computer science and quantitative science students who enrolled Calculus subject in UiTM Kedah. Findings shows that there are two criteria that influenced students attitude toward mathematics namely normality of mathematics with eleven subcriteria and enjoyment of mathematics with eight subcriteria. From the analysis it shows that the total percentage of variation explained is 35.071% with 0.837 Cronbach's alpha reliability test. The findings will help the lecturers, parents and society to consider what action should be taken to install interest and positive attitude of bumiputera students towards mathematics and thus improve their achievement.

  16. Symposium Connects Government Problems with State of the Art Network Science Research

    DTIC Science & Technology

    2015-10-16

    Symposium Connects Government Problems with State-of-the- Art Network Science Research By Rajmonda S. Caceres and Benjamin A. Miller Network...the US Gov- ernment, and match these with the state-of-the- art models and techniques developed in the network science research community. Since its... science has grown significantly in the last several years as a field at the intersec- tion of mathematics, computer science , social science , and engineering

  17. JPL basic research review. [research and advanced development

    NASA Technical Reports Server (NTRS)

    1977-01-01

    Current status, projected goals, and results of 49 research and advanced development programs at the Jet Propulsion Laboratory are reported in abstract form. Areas of investigation include: aerodynamics and fluid mechanics, applied mathematics and computer sciences, environment protection, materials science, propulsion, electric and solar power, guidance and navigation, communication and information sciences, general physics, and chemistry.

  18. European aerospace science and technology, 1992: A bibliography with indexes

    NASA Technical Reports Server (NTRS)

    1993-01-01

    This bibliography contains 1916 annotated references to reports and journal articles of European intellectual origin entered into the NASA Scientific and Technical Information System during 1992. Representative subject areas include: spacecraft and aircraft design, propulsion technology, chemistry and materials, engineering and mechanics, earth and life sciences, communications, computers and mathematics, and the natural space sciences.

  19. NASA Tech Briefs, May 1995. Volume 19, No. 5

    NASA Technical Reports Server (NTRS)

    1995-01-01

    This issue features an resource report on Jet Propulsion Laboratory and a special focus on advanced composites and plastics. It also contains articles on electronic components and circuits, electronic systems, physical sciences, computer programs, mechanics, machinery, manufacturing and fabrication, mathematics and information sciences, and life sciences. This issue also contains a supplement on federal laboratory test and measurements.

  20. Applied Mathematics for agronomical engineers in Spain at UPM

    NASA Astrophysics Data System (ADS)

    Anton, J. M.; Grau, J. B.; Tarquis, A. M.; Fabregat, J.; Sanchez, M. E.

    2009-04-01

    Mathematics, created or discovered, are a global human conceptual endowment, containing large systems of knowledge, and varied skills to use definite parts of them, in creation or discovery, or for applications, e.g. in Physics, or notably in engineering behaviour. When getting upper intellectual levels in the 19th century, the agronomical science and praxis was noticeably or mainly organised in Spain in agronomical engineering schools and also in institutes, together with technician schools, also with different lower lever centres, and they have evolved with progress and they are much changing at present to a EEES schema (Bolonia process). They work in different lines that need some basis or skills from mathematics. The vocation to start such careers, that have varied curriculums, contains only some mathematics, and the number of credits for mathematics is restrained because time is necessary for other initial sciences such as applied chemistry, biology, ecology and soil sciences, but some basis and skill of maths are needed, also with Physics, at least for electricity, machines, construction, economics at initial ground levels, and also for Statistics that are here considered part of Applied Mathematics. The ways of teaching mathematical basis and skills are especial, and are different from the practical ways needed e. g. for Soil Sciences, and they involve especial efforts from students, and especial controls or exams that guide much learning. The mathematics have a very large accepted content that uses mostly a standard logic, and that is remarkably stable and international, rather similar notation and expressions being used with different main languages. For engineering the logical basis is really often not taught, but the use of it is transferred, especially for calculus that requires both adapted somehow simplified schemas and the learning of a specific skill to use it, and also for linear algebra. The basic forms of differential calculus in several variables are an example, maybe since Leibnitz, of the difficulty of balance rigor and usefulness in limited hours of teaching. In part engineers use of mathematics with manuals and now with computers that use packages, general (MAPLE, MATLAB, may be MATHCAD, et. C. ) or specific, such as for Statistics, Topography, Structural design, Hydraulics, specific Machines,…, and mostly the details of the algorithms are hidden, but the engineer must have in mind the basic mathematical schemas justifying what he is constructing with these tools, the PC being also used for organisation and drawing. The engineers must adapt to the evolution of these packages and computers that get much changed and improved in five or ten years, quicker than the specific engineering environment, and a clear idea of the much more stable mathematical structures behind gives a solid mental ground for that. An initiation to using computers also with a mathematical structure behind is necessary, to be followed in professional life. A specific actualisation of mathematical knowledge is often necessary for some new applications.

  1. From Both Sides, Now: Librarians Team up with Computer Scientist to Deliver Virtual Computer-Information Literacy Instruction

    ERIC Educational Resources Information Center

    Loesch, Martha Fallahay

    2011-01-01

    Two members of the library faculty at Seton Hall University teamed up with a respected professor of mathematics and computer science, in order to create an online course that introduces information literacy both from the perspectives of the computer scientist and from the instruction librarian. This collaboration is unique in that it addresses the…

  2. The Effects of Gender on the Attitudes towards the Computer Assisted Instruction: A Meta-Analysis

    ERIC Educational Resources Information Center

    Cam, Sefika Sumeyye; Yarar, Gokhan; Toraman, Cetin; Erdamar, Gurcu Koc

    2016-01-01

    The idea that gender factor creates a difference on computer usage and computer-assisted instruction is based upon previous years. At that time, it was thought that some areas like engineering, science and mathematics were for males so it created a difference on the computer usage. Nevertheless, developing technology and females becoming more…

  3. Abstracts of Research, July 1973 through June 1974.

    ERIC Educational Resources Information Center

    Ohio State Univ., Columbus. Computer and Information Science Research Center.

    Abstracts of research papers in the fields of computer and information science are given; 72 papers are abstracted in the areas of information storage and retrieval, information processing, linguistic analysis, artificial intelligence, mathematical techniques, systems programing, and computer networks. In addition, the Ohio State University…

  4. Advisory List of Computer Courseware.

    ERIC Educational Resources Information Center

    North Carolina State Dept. of Public Instruction, Raleigh. Div. of Educational Media.

    Computer courseware appropriate for instruction in grades K-12 is listed in two advisory lists. Entries, selected from materials submitted by producers which received favorable reviews by educators, are arranged in the following categories: arts education, communication skills, mathematics, science, utility (a quiz generator), word processing, and…

  5. The Advantage of Same-Sex Programs.

    ERIC Educational Resources Information Center

    Wollam, Jean

    1990-01-01

    Considered are advantages of summer science programs limited to young high school women. Same sex courses are seen to eliminate unconscious gender bias in instruction and counter tendencies for female students to be less involved in science, mathematics, and computer activities. Four specific programs are briefly described. (DB)

  6. Psychosocial Factors Impacting STEM Career Selection

    ERIC Educational Resources Information Center

    Lamb, Richard; Annetta, Leonard; Vallett, David; Firestone, Jonah; Schmitter-Edgecombe, Maureen; Walker, Heather; Deviller, Nicole; Hoston, Douglas

    2018-01-01

    Attention on P-20 science, technology, engineering, and mathematics (STEM) education has increased tremendously in recent years. Many efforts are underway to promote STEM major and career selection across the nation; specifically, in engineering and computer science. The authors' purpose was to examine an underlying profile combinations of latent…

  7. 34 CFR 682.200 - Definitions.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Science and Mathematics Access to Retain Talent Grant (National SMART Grant) Program Payment period...-financial aid-related computer software at below market rental or purchase cost, and printing and...

  8. 34 CFR 682.200 - Definitions.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Science and Mathematics Access to Retain Talent Grant (National SMART Grant) Program Payment period...-financial aid-related computer software at below market rental or purchase cost, and printing and...

  9. 34 CFR 682.200 - Definitions.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Science and Mathematics Access to Retain Talent Grant (National SMART Grant) Program Payment period...-financial aid-related computer software at below market rental or purchase cost, and printing and...

  10. Algorithms in Modern Mathematics and Computer Science.

    DTIC Science & Technology

    1980-01-01

    importance, since we will go on doing what we are doing no matter what it is called; after all, other disciplines like Mathematics and Chemistry are no...longer related very strongly to the etymology of their names. However, if I had a chance to vote for the name of my own discipline, I would choose to call

  11. Peer-Led Team Learning in Mathematics Courses for Freshmen Engineering and Computer Science Students

    ERIC Educational Resources Information Center

    Reisel, John R.; Jablonski, Marissa R.; Munson, Ethan; Hosseini, Hossein

    2014-01-01

    Peer-led Team Learning (PLTL) is an instructional method reported to increase student learning in STEM courses. As mathematics is a significant hurdle for many freshmen engineering students, a PLTL program was implemented for students to attempt to improve their course performance. Here, an analysis of PLTL for freshmen engineering students in…

  12. The beginning of the space age: information and mathematical aspect. To the 60th anniversary of the launch of the first sputnik

    NASA Astrophysics Data System (ADS)

    Sushkevich, T. A.

    2017-11-01

    60 years ago, on 4 October 1957, the USSR successfully launched into space the FIRST SPUTNIK (artificial Earth satellite). From this date begins the countdown of the space age. Information and mathematical software is an integral component of any space project. Discusses the history and future of space exploration and the role of mathematics and computers. For illustration, presents a large list of publications. It is important to pay attention to the role of mathematics and computer science in space projects and research, remote sensing problems, the evolution of the Earth's environment and climate, where the theory of radiation transfer plays a key role, and the achievements of Russian scientists at the dawn of the space age.

  13. Quantitative and Qualitative Evaluation of The Structural Designing of Medical Informatics Dynamic Encyclopedia.

    PubMed

    Safdari, Reza; Shahmoradi, Leila; Hosseini-Beheshti, Molouk-Sadat; Nejad, Ahmadreza Farzaneh; Hosseiniravandi, Mohammad

    2015-10-01

    Encyclopedias and their compilation have become so prevalent as a valid cultural medium in the world. The daily development of computer industry and the expansion of various sciences have made indispensable the compilation of electronic, specialized encyclopedias, especially the web-based ones. This is an applied-developmental study conducted in 2014. First, the main terms in the field of medical informatics were gathered using MeSH Online 2014 and the supplementary terms of each were determined, and then the tree diagram of the terms was drawn based on their relationship in MeSH. Based on the studies done by the researchers, the tree diagram of the encyclopedia was drawn with respect to the existing areas in this field, and the terms gathered were put in related domains. In MeSH, 75 preferred terms together with 249 supplementary ones were indexed. One of the informatics' sub-branches is biomedical informatics and health which itself consists of three sub-divisions of bioinformatics, clinical informatics, and health informatics. Medical informatics which is a subdivision of clinical informatics has developed from the three fields of medical sciences, management and social sciences, and computational sciences and mathematics. Medical Informatics is created of confluence and fusion and applications of the three major scientific branches include health and biological sciences, social sciences and management sciences, computing and mathematical sciences, and according to that the structure of MeSH is weak for future development of Encyclopedia of Medical Informatics.

  14. Tracking Women and Minorities as They Attain Degrees in Computing and Related Fields

    ERIC Educational Resources Information Center

    Sorkin, Sylvia; Gore, Mary Elizabeth; Mento, Barbara; Stanton, Jon

    2010-01-01

    Two Maryland colleges (one a four-year liberal arts college for women, and one a public community college) have worked to increase the number of graduates, especially women and other under-represented groups, in their computer science, computer information systems, engineering, and mathematics programs over a four-year period. In August 2004, they…

  15. Computing and STEM in Greece: Gender Representation of Students and Teachers during the Decade 2002/2012

    ERIC Educational Resources Information Center

    Kordaki, Maria; Berdousis, Ioannis

    2017-01-01

    Female student representation in Computing and Science, Technology, Engineering and Mathematics (STEM) Tertiary education is under-researched in a number of countries including Greece, while studies on female secondary level education teacher representation in Computing and STEM have not yet been reported. This study focuses on the investigation…

  16. Computational Thinking in K-12: A Review of the State of the Field

    ERIC Educational Resources Information Center

    Grover, Shuchi; Pea, Roy

    2013-01-01

    Jeannette Wing's influential article on computational thinking 6 years ago argued for adding this new competency to every child's analytical ability as a vital ingredient of science, technology, engineering, and mathematics (STEM) learning. What is computational thinking? Why did this article resonate with so many and serve as a rallying cry for…

  17. Michael Bahl | NREL

    Science.gov Websites

    theoretical mathematics, Western New England University, Springfield, MA B.S. in computer science, University Prior Work Experience Founder, Mobile Makes Sense Senior IT Specialist, IBM Graduate Teaching Assistant

  18. Commentary: Ubiquitous Computing Revisited--A New Perspective

    ERIC Educational Resources Information Center

    Bull, Glen; Garofalo, Joe

    2006-01-01

    In 2002, representatives from the teacher educator associations representing the core content areas (science, mathematics, language arts, and social studies) and educational technology met at the National Technology Leadership Retreat (NTLR) to discuss potential implications of ubiquitous computing for K-12 schools. This paper re-examines some of…

  19. Perceived mathematical ability under challenge: a longitudinal perspective on sex segregation among STEM degree fields.

    PubMed

    Nix, Samantha; Perez-Felkner, Lara; Thomas, Kirby

    2015-01-01

    Students' perceptions of their mathematics ability vary by gender and seem to influence science, technology, engineering, and mathematics (STEM) degree choice. Related, students' perceptions during academic difficulty are increasingly studied in educational psychology, suggesting a link between such perceptions and task persistence. Despite interest in examining the gender disparities in STEM, these concepts have not been considered in tandem. In this manuscript, we investigate how perceived ability under challenge-in particular in mathematics domains-influences entry into the most sex-segregated and mathematics-intensive undergraduate degrees: physics, engineering, mathematics, and computer science (PEMC). Using nationally representative Education Longitudinal Study of 2002 (ELS) data, we estimate the influence of perceived ability under challenging conditions on advanced high school science course taking, selection of an intended STEM major, and specific major type 2 years after high school. Demonstrating the importance of specificity when discussing how gender influences STEM career pathways, the intersecting effects of gender and perceived ability under mathematics challenge were distinct for each scientific major category. Perceived ability under challenge in secondary school varied by gender, and was highly predictive of selecting PEMC and health sciences majors. Notably, women's 12th grade perceptions of their ability under mathematics challenge increased their probability of selecting PEMC majors over and above biology. In addition, gender moderated the effect of growth mindset on students' selection of health science majors. Perceptions of ability under challenge in general and verbal domains also influenced retention in and declaration of certain STEM majors. The implications of these results are discussed, with particular attention to access to advanced scientific coursework in high school and interventions aimed at enhancing young women's perceptions of their ability, in particular in response to the potentially inhibiting influence of stereotype threat on their pathways to scientific degrees.

  20. Perceived mathematical ability under challenge: a longitudinal perspective on sex segregation among STEM degree fields

    PubMed Central

    Nix, Samantha; Perez-Felkner, Lara; Thomas, Kirby

    2015-01-01

    Students' perceptions of their mathematics ability vary by gender and seem to influence science, technology, engineering, and mathematics (STEM) degree choice. Related, students' perceptions during academic difficulty are increasingly studied in educational psychology, suggesting a link between such perceptions and task persistence. Despite interest in examining the gender disparities in STEM, these concepts have not been considered in tandem. In this manuscript, we investigate how perceived ability under challenge—in particular in mathematics domains—influences entry into the most sex-segregated and mathematics-intensive undergraduate degrees: physics, engineering, mathematics, and computer science (PEMC). Using nationally representative Education Longitudinal Study of 2002 (ELS) data, we estimate the influence of perceived ability under challenging conditions on advanced high school science course taking, selection of an intended STEM major, and specific major type 2 years after high school. Demonstrating the importance of specificity when discussing how gender influences STEM career pathways, the intersecting effects of gender and perceived ability under mathematics challenge were distinct for each scientific major category. Perceived ability under challenge in secondary school varied by gender, and was highly predictive of selecting PEMC and health sciences majors. Notably, women's 12th grade perceptions of their ability under mathematics challenge increased their probability of selecting PEMC majors over and above biology. In addition, gender moderated the effect of growth mindset on students' selection of health science majors. Perceptions of ability under challenge in general and verbal domains also influenced retention in and declaration of certain STEM majors. The implications of these results are discussed, with particular attention to access to advanced scientific coursework in high school and interventions aimed at enhancing young women's perceptions of their ability, in particular in response to the potentially inhibiting influence of stereotype threat on their pathways to scientific degrees. PMID:26113823

  1. Computational oncology.

    PubMed

    Lefor, Alan T

    2011-08-01

    Oncology research has traditionally been conducted using techniques from the biological sciences. The new field of computational oncology has forged a new relationship between the physical sciences and oncology to further advance research. By applying physics and mathematics to oncologic problems, new insights will emerge into the pathogenesis and treatment of malignancies. One major area of investigation in computational oncology centers around the acquisition and analysis of data, using improved computing hardware and software. Large databases of cellular pathways are being analyzed to understand the interrelationship among complex biological processes. Computer-aided detection is being applied to the analysis of routine imaging data including mammography and chest imaging to improve the accuracy and detection rate for population screening. The second major area of investigation uses computers to construct sophisticated mathematical models of individual cancer cells as well as larger systems using partial differential equations. These models are further refined with clinically available information to more accurately reflect living systems. One of the major obstacles in the partnership between physical scientists and the oncology community is communications. Standard ways to convey information must be developed. Future progress in computational oncology will depend on close collaboration between clinicians and investigators to further the understanding of cancer using these new approaches.

  2. Cumulative reports and publications

    NASA Technical Reports Server (NTRS)

    1993-01-01

    A complete list of Institute for Computer Applications in Science and Engineering (ICASE) reports are listed. Since ICASE reports are intended to be preprints of articles that will appear in journals or conference proceedings, the published reference is included when it is available. The major categories of the current ICASE research program are: applied and numerical mathematics, including numerical analysis and algorithm development; theoretical and computational research in fluid mechanics in selected areas of interest to LaRC, including acoustics and combustion; experimental research in transition and turbulence and aerodynamics involving LaRC facilities and scientists; and computer science.

  3. Engaging New Software.

    ERIC Educational Resources Information Center

    Allen, Denise

    1994-01-01

    Reviews three educational computer software products: (1) a compact disc-read only memory (CD-ROM) bundle of five mathematics programs from the Apple Education Series; (2) "Sammy's Science House," with science activities for preschool through second grade (Edmark); and (3) "The Cat Came Back," an interactive CD-ROM game designed to build language…

  4. Improving Student Achievement in Introductory Computer Science Courses Using Peer-Led Team Learning

    ERIC Educational Resources Information Center

    Dennis, Sonya Maria

    2013-01-01

    There has been a steady decline of majors in the disciplines of science, technology, engineering, and mathematics ("STEM majors"). In an effort to improve recruitment and retention in "STEM" majors, an active-learning methodology--"peer-led team learning" ("PLTL")--was implemented by the participating…

  5. Project MASTER, 1987-88. OREA Report.

    ERIC Educational Resources Information Center

    Berney, Tomi D.; Hammack, Floyd

    Project MASTER completed its 3-year funding cycle in 1987-88. The project aimed at providing enhanced science instruction to 575 Spanish-speaking limited-English-proficient students in 5 elementary schools. Project MASTER offered classes in English as a Second Language (ESL), mathematics, science, and computer skills with a hands-on, integrated…

  6. Tested Strategies for Recruiting and Retention of STEM Majors

    ERIC Educational Resources Information Center

    Davari, Sadegh; Perkins-Hall, Sharon; Abeysekera, Krishani

    2017-01-01

    There is a shortage of STEM (Science, Technology, Engineering and Mathematics) educated workforce in the US, especially among minority and underrepresented groups. Recruiting and retaining STEM majors has been a major problem for universities and community colleges for many years. The Computer Science department of University of Houston-Clear Lake…

  7. Finding and defining the natural automata acting in living plants: Toward the synthetic biology for robotics and informatics in vivo.

    PubMed

    Kawano, Tomonori; Bouteau, François; Mancuso, Stefano

    2012-11-01

    The automata theory is the mathematical study of abstract machines commonly studied in the theoretical computer science and highly interdisciplinary fields that combine the natural sciences and the theoretical computer science. In the present review article, as the chemical and biological basis for natural computing or informatics, some plants, plant cells or plant-derived molecules involved in signaling are listed and classified as natural sequential machines (namely, the Mealy machines or Moore machines) or finite state automata. By defining the actions (states and transition functions) of these natural automata, the similarity between the computational data processing and plant decision-making processes became obvious. Finally, their putative roles as the parts for plant-based computing or robotic systems are discussed.

  8. Finding and defining the natural automata acting in living plants: Toward the synthetic biology for robotics and informatics in vivo

    PubMed Central

    Kawano, Tomonori; Bouteau, François; Mancuso, Stefano

    2012-01-01

    The automata theory is the mathematical study of abstract machines commonly studied in the theoretical computer science and highly interdisciplinary fields that combine the natural sciences and the theoretical computer science. In the present review article, as the chemical and biological basis for natural computing or informatics, some plants, plant cells or plant-derived molecules involved in signaling are listed and classified as natural sequential machines (namely, the Mealy machines or Moore machines) or finite state automata. By defining the actions (states and transition functions) of these natural automata, the similarity between the computational data processing and plant decision-making processes became obvious. Finally, their putative roles as the parts for plant-based computing or robotic systems are discussed. PMID:23336016

  9. War of Ontology Worlds: Mathematics, Computer Code, or Esperanto?

    PubMed Central

    Rzhetsky, Andrey; Evans, James A.

    2011-01-01

    The use of structured knowledge representations—ontologies and terminologies—has become standard in biomedicine. Definitions of ontologies vary widely, as do the values and philosophies that underlie them. In seeking to make these views explicit, we conducted and summarized interviews with a dozen leading ontologists. Their views clustered into three broad perspectives that we summarize as mathematics, computer code, and Esperanto. Ontology as mathematics puts the ultimate premium on rigor and logic, symmetry and consistency of representation across scientific subfields, and the inclusion of only established, non-contradictory knowledge. Ontology as computer code focuses on utility and cultivates diversity, fitting ontologies to their purpose. Like computer languages C++, Prolog, and HTML, the code perspective holds that diverse applications warrant custom designed ontologies. Ontology as Esperanto focuses on facilitating cross-disciplinary communication, knowledge cross-referencing, and computation across datasets from diverse communities. We show how these views align with classical divides in science and suggest how a synthesis of their concerns could strengthen the next generation of biomedical ontologies. PMID:21980276

  10. War of ontology worlds: mathematics, computer code, or Esperanto?

    PubMed

    Rzhetsky, Andrey; Evans, James A

    2011-09-01

    The use of structured knowledge representations-ontologies and terminologies-has become standard in biomedicine. Definitions of ontologies vary widely, as do the values and philosophies that underlie them. In seeking to make these views explicit, we conducted and summarized interviews with a dozen leading ontologists. Their views clustered into three broad perspectives that we summarize as mathematics, computer code, and Esperanto. Ontology as mathematics puts the ultimate premium on rigor and logic, symmetry and consistency of representation across scientific subfields, and the inclusion of only established, non-contradictory knowledge. Ontology as computer code focuses on utility and cultivates diversity, fitting ontologies to their purpose. Like computer languages C++, Prolog, and HTML, the code perspective holds that diverse applications warrant custom designed ontologies. Ontology as Esperanto focuses on facilitating cross-disciplinary communication, knowledge cross-referencing, and computation across datasets from diverse communities. We show how these views align with classical divides in science and suggest how a synthesis of their concerns could strengthen the next generation of biomedical ontologies.

  11. Computing the Ediz eccentric connectivity index of discrete dynamic structures

    NASA Astrophysics Data System (ADS)

    Wu, Hualong; Kamran Siddiqui, Muhammad; Zhao, Bo; Gan, Jianhou; Gao, Wei

    2017-06-01

    From the earlier studies in physical and chemical sciences, it is found that the physico-chemical characteristics of chemical compounds are internally connected with their molecular structures. As a theoretical basis, it provides a new way of thinking by analyzing the molecular structure of the compounds to understand their physical and chemical properties. In our article, we study the physico-chemical properties of certain molecular structures via computing the Ediz eccentric connectivity index from mathematical standpoint. The results we yielded mainly apply to the techniques of distance and degree computation of mathematical derivation, and the conclusions have guiding significance in physical engineering.

  12. 34 CFR 682.200 - Definitions.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Science and Mathematics Access to Retain Talent Grant (National SMART Grant) Program Payment period... equipment, or non-loan processing or non-financial aid-related computer software at below market rental or...

  13. 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.

  14. Who Will Do Science? Trends, and Their Causes in Minority and Female Representation among Holders of Advanced Degrees in Science and Mathematics. A Special Report.

    ERIC Educational Resources Information Center

    Berryman, Sue E.

    This paper describes trends in and causes of minority and female representation among holders of advanced science and math degrees. The minority groups studied are Blacks, Hispanic Americans, American Indians, and Asian Americans, all of whom are compared with Whites. The degrees looked at include those in math, the computer sciences, physical…

  15. Mathematical modeling based on ordinary differential equations: A promising approach to vaccinology

    PubMed Central

    Bonin, Carla Rezende Barbosa; Fernandes, Guilherme Cortes; dos Santos, Rodrigo Weber; Lobosco, Marcelo

    2017-01-01

    ABSTRACT New contributions that aim to accelerate the development or to improve the efficacy and safety of vaccines arise from many different areas of research and technology. One of these areas is computational science, which traditionally participates in the initial steps, such as the pre-screening of active substances that have the potential to become a vaccine antigen. In this work, we present another promising way to use computational science in vaccinology: mathematical and computational models of important cell and protein dynamics of the immune system. A system of Ordinary Differential Equations represents different immune system populations, such as B cells and T cells, antigen presenting cells and antibodies. In this way, it is possible to simulate, in silico, the immune response to vaccines under development or under study. Distinct scenarios can be simulated by varying parameters of the mathematical model. As a proof of concept, we developed a model of the immune response to vaccination against the yellow fever. Our simulations have shown consistent results when compared with experimental data available in the literature. The model is generic enough to represent the action of other diseases or vaccines in the human immune system, such as dengue and Zika virus. PMID:28027002

  16. Mathematical modeling based on ordinary differential equations: A promising approach to vaccinology.

    PubMed

    Bonin, Carla Rezende Barbosa; Fernandes, Guilherme Cortes; Dos Santos, Rodrigo Weber; Lobosco, Marcelo

    2017-02-01

    New contributions that aim to accelerate the development or to improve the efficacy and safety of vaccines arise from many different areas of research and technology. One of these areas is computational science, which traditionally participates in the initial steps, such as the pre-screening of active substances that have the potential to become a vaccine antigen. In this work, we present another promising way to use computational science in vaccinology: mathematical and computational models of important cell and protein dynamics of the immune system. A system of Ordinary Differential Equations represents different immune system populations, such as B cells and T cells, antigen presenting cells and antibodies. In this way, it is possible to simulate, in silico, the immune response to vaccines under development or under study. Distinct scenarios can be simulated by varying parameters of the mathematical model. As a proof of concept, we developed a model of the immune response to vaccination against the yellow fever. Our simulations have shown consistent results when compared with experimental data available in the literature. The model is generic enough to represent the action of other diseases or vaccines in the human immune system, such as dengue and Zika virus.

  17. Female and male adolescents' subjective orientations to mathematics and the influence of those orientations on postsecondary majors.

    PubMed

    Perez-Felkner, Lara; McDonald, Sarah-Kathryn; Schneider, Barbara; Grogan, Erin

    2012-11-01

    Although important strides toward gender parity have been made in several scientific fields, women remain underrepresented in the physical sciences, engineering, mathematics, and computer sciences (PEMCs). This study examines the effects of adolescents' subjective orientations, course taking, and academic performance on the likelihood of majoring in PEMC in college. Results indicate that racial-ethnic and gender underrepresentation in science, technology, engineering, and mathematics (STEM) fields are interrelated and should be examined with attention to the intersecting factors influencing female and racial-ethnic minority adolescents' pathways toward careers in these fields. Among those who major in PEMC fields, women closely resemble men with respect to their subjective orientations. The effects of subjective orientations on women's chances of majoring in PEMC vary by their secondary school mathematics course completion levels. Women who take more mathematics courses are more likely to major in PEMC; however, course taking alone does not attenuate gender disparities in declaring these majors. High mathematics ability (as measured by standardized test scores in the 10th grade) appears to be positively associated with women's selection of social, behavioral, clinical, and health science majors. This association is less robust (and slightly negative) for women in PEMC. While advanced course taking appears to assist women in selecting PEMC majors, women who enter these fields may not be as strong as those who select other, less male-dominated scientific fields.

  18. Use of the computational-informational web-GIS system for the development of climatology students' skills in modeling and understanding climate change

    NASA Astrophysics Data System (ADS)

    Gordova, Yulia; Martynova, Yulia; Shulgina, Tamara

    2015-04-01

    The current situation with the training of specialists in environmental sciences is complicated by the fact that the very scientific field is experiencing a period of rapid development. Global change has caused the development of measurement techniques and modeling of environmental characteristics, accompanied by the expansion of the conceptual and mathematical apparatus. Understanding and forecasting processes in the Earth system requires extensive use of mathematical modeling and advanced computing technologies. As a rule, available training programs in the environmental sciences disciplines do not have time to adapt to such rapid changes in the domain content. As a result, graduates of faculties do not understand processes and mechanisms of the global change, have only superficial knowledge of mathematical modeling of processes in the environment. They do not have the required skills in numerical modeling, data processing and analysis of observations and computation outputs and are not prepared to work with the meteorological data. For adequate training of future specialists in environmental sciences we propose the following approach, which reflects the new "research" paradigm in education. We believe that the training of such specialists should be done not in an artificial learning environment, but based on actual operating information-computational systems used in environment studies, in the so-called virtual research environment via development of virtual research and learning laboratories. In the report the results of the use of computational-informational web-GIS system "Climate" (http://climate.scert.ru/) as a prototype of such laboratory are discussed. The approach is realized at Tomsk State University to prepare bachelors in meteorology. Student survey shows that their knowledge has become deeper and more systemic after undergoing training in virtual learning laboratory. The scientific team plans to assist any educators to utilize the system in earth science education. This work is partially supported by SB RAS project VIII.80.2.1, RFBR grants 13-05-12034 and 14-05-00502.

  19. Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.

    PubMed

    Said, Nadia; Engelhart, Michael; Kirches, Christian; Körkel, Stefan; Holt, Daniel V

    2016-01-01

    Computational models of cognition provide an interface to connect advanced mathematical tools and methods to empirically supported theories of behavior in psychology, cognitive science, and neuroscience. In this article, we consider a computational model of instance-based learning, implemented in the ACT-R cognitive architecture. We propose an approach for obtaining mathematical reformulations of such cognitive models that improve their computational tractability. For the well-established Sugar Factory dynamic decision making task, we conduct a simulation study to analyze central model parameters. We show how mathematical optimization techniques can be applied to efficiently identify optimal parameter values with respect to different optimization goals. Beyond these methodological contributions, our analysis reveals the sensitivity of this particular task with respect to initial settings and yields new insights into how average human performance deviates from potential optimal performance. We conclude by discussing possible extensions of our approach as well as future steps towards applying more powerful derivative-based optimization methods.

  20. Formal logic rewrite system bachelor in teaching mathematical informatics

    NASA Astrophysics Data System (ADS)

    Habiballa, Hashim; Jendryscik, Radek

    2017-07-01

    The article presents capabilities of the formal rewrite logic system - Bachelor - for teaching theoretical computer science (mathematical informatics). The system Bachelor enables constructivist approach to teaching and therefore it may enhance the learning process in hard informatics essential disciplines. It brings not only detailed description of formal rewrite process but also it can demonstrate algorithmical principles for logic formulae manipulations.

  1. PREFACE: 3rd International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE 2014)

    NASA Astrophysics Data System (ADS)

    2015-01-01

    The third International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE) took place at Madrid, Spain, from Thursday 28 to Sunday 31 August 2014. The Conference was attended by more than 200 participants and hosted about 350 oral, poster, and virtual presentations. More than 600 pre-registered authors were also counted. The third IC-MSQUARE consisted of different and diverging workshops and thus covered various research fields where Mathematical Modeling is used, such as Theoretical/Mathematical Physics, Neutrino Physics, Non-Integrable Systems, Dynamical Systems, Computational Nanoscience, Biological Physics, Computational Biomechanics, Complex Networks, Stochastic Modeling, Fractional Statistics, DNA Dynamics, Macroeconomics etc. The scientific program was rather heavy since after the Keynote and Invited Talks in the morning, three parallel oral sessions and one poster session were running every day. However, according to all attendees, the program was excellent with high level of talks and the scientific environment was fruitful, thus all attendees had a creative time. We would like to thank the Keynote Speaker and the Invited Speakers for their significant contribution to IC-MSQUARE. We also would like to thank the Members of the International Advisory and Scientific Committees as well as the Members of the Organizing Committee.

  2. PREFACE: 4th International Conference on Mathematical Modeling in Physical Sciences (IC-MSquare2015)

    NASA Astrophysics Data System (ADS)

    Vlachos, Dimitrios; Vagenas, Elias C.

    2015-09-01

    The 4th International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE) took place in Mykonos, Greece, from Friday 5th June to Monday 8th June 2015. The Conference was attended by more than 150 participants and hosted about 200 oral, poster, and virtual presentations. There were more than 600 pre-registered authors. The 4th IC-MSQUARE consisted of different and diverging workshops and thus covered various research fields where Mathematical Modeling is used, such as Theoretical/Mathematical Physics, Neutrino Physics, Non-Integrable Systems, Dynamical Systems, Computational Nanoscience, Biological Physics, Computational Biomechanics, Complex Networks, Stochastic Modeling, Fractional Statistics, DNA Dynamics, Macroeconomics etc. The scientific program was rather intense as after the Keynote and Invited Talks in the morning, three parallel oral and one poster session were running every day. However, according to all attendees, the program was excellent with a high quality of talks creating an innovative and productive scientific environment for all attendees. We would like to thank the Keynote Speaker and the Invited Speakers for their significant contribution to IC-MSQUARE. We also would like to thank the Members of the International Advisory and Scientific Committees as well as the Members of the Organizing Committee.

  3. Scaling up to address data science challenges

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

    Wendelberger, Joanne R.

    Statistics and Data Science provide a variety of perspectives and technical approaches for exploring and understanding Big Data. Partnerships between scientists from different fields such as statistics, machine learning, computer science, and applied mathematics can lead to innovative approaches for addressing problems involving increasingly large amounts of data in a rigorous and effective manner that takes advantage of advances in computing. Here, this article will explore various challenges in Data Science and will highlight statistical approaches that can facilitate analysis of large-scale data including sampling and data reduction methods, techniques for effective analysis and visualization of large-scale simulations, and algorithmsmore » and procedures for efficient processing.« less

  4. Scaling up to address data science challenges

    DOE PAGES

    Wendelberger, Joanne R.

    2017-04-27

    Statistics and Data Science provide a variety of perspectives and technical approaches for exploring and understanding Big Data. Partnerships between scientists from different fields such as statistics, machine learning, computer science, and applied mathematics can lead to innovative approaches for addressing problems involving increasingly large amounts of data in a rigorous and effective manner that takes advantage of advances in computing. Here, this article will explore various challenges in Data Science and will highlight statistical approaches that can facilitate analysis of large-scale data including sampling and data reduction methods, techniques for effective analysis and visualization of large-scale simulations, and algorithmsmore » and procedures for efficient processing.« less

  5. Foreign Science and Engineering Presence in U.S. Institutions and the Labor Force

    DTIC Science & Technology

    2007-01-12

    physical therapists . The application for H-1B status must be filed by an employer; an individual cannot obtain an H-1B visa on his or her own...scientist or engineer for permanent residence, if they meet terms established by the Immigration and Nationality Act. 3Foreign students planning to remain...56%; for physical sciences, 64%; life sciences, 63%; mathematics, 57%; computer sciences, 63%; and agricultural sciences, 38%. Stay rates are not

  6. NeXT Application Development Workshop. [Use and Design of Instructional Applications on the NeXT Computer.

    ERIC Educational Resources Information Center

    Kiel, Don; And Others

    Instructional applications for NeXT computers were developed by nine faculty members from the biology, mathematics and computer science, fine arts, chemistry, physics and astronomy, and geology departments as part of a grant awarded to the California State University at Los Angeles. These notes provide a schedule of events and reports from a 2-day…

  7. Effectiveness of Various Computer-Based Instructional Strategies in Language Teaching. Final Report, November 1, 1969-August 31, 1970.

    ERIC Educational Resources Information Center

    Van Campen, Joseph A.

    Computer software for programed language instruction, developed in the second quarter of 1970 at Stanford's Institute for Mathematical Studies in the Social Sciences is described in this report. The software includes: (1) a PDP-10 computer assembly language for generating drill sentences; (2) a coding system allowing a large number of sentences to…

  8. Linking Computer Algebra Systems and Paper-and-Pencil Techniques To Support the Teaching of Mathematics.

    ERIC Educational Resources Information Center

    van Herwaarden, Onno A.; Gielen, Joseph L. W.

    2002-01-01

    Focuses on students showing a lack of conceptual insight while using computer algebra systems (CAS) in the setting of an elementary calculus and linear algebra course for first year university students in social sciences. The use of a computer algebra environment has been incorporated into a more traditional course but with special attention on…

  9. All biology is computational biology.

    PubMed

    Markowetz, Florian

    2017-03-01

    Here, I argue that computational thinking and techniques are so central to the quest of understanding life that today all biology is computational biology. Computational biology brings order into our understanding of life, it makes biological concepts rigorous and testable, and it provides a reference map that holds together individual insights. The next modern synthesis in biology will be driven by mathematical, statistical, and computational methods being absorbed into mainstream biological training, turning biology into a quantitative science.

  10. A synergistic effort among geoscience, physics, computer science and mathematics at Hunter College of CUNY as a Catalyst for educating Earth scientists.

    NASA Astrophysics Data System (ADS)

    Salmun, H.; Buonaiuto, F. S.

    2016-12-01

    The Catalyst Scholarship Program at Hunter College of The City University of New York (CUNY) was established with a four-year award from the National Science Foundation (NSF) to fund scholarships for academically talented but financially disadvantaged students majoring in four disciplines of science, technology, engineering and mathematics (STEM). Led by Earth scientists the Program awarded scholarships to students in their junior or senior years majoring in computer science, geosciences, mathematics and physics to create two cohorts of students that spent a total of four semesters in an interdisciplinary community. The program included mentoring of undergraduate students by faculty and graduate students (peer-mentoring), a sequence of three semesters of a one-credit seminar course and opportunities to engage in research activities, research seminars and other enriching academic experiences. Faculty and peer-mentoring were integrated into all parts of the scholarship activities. The one-credit seminar course, although designed to expose scholars to the diversity STEM disciplines and to highlight research options and careers in these disciplines, was thematically focused on geoscience, specifically on ocean and atmospheric science. The program resulted in increased retention rates relative to institutional averages. In this presentation we will discuss the process of establishing the program, from the original plans to its implementation, as well as the impact of this multidisciplinary approach to geoscience education at our institution and beyond. An overview of accomplishments, lessons learned and potential for best practices will be presented.

  11. Grand Challenges 1993: High Performance Computing and Communications. A Report by the Committee on Physical, Mathematical, and Engineering Sciences. The FY 1993 U.S. Research and Development Program.

    ERIC Educational Resources Information Center

    Office of Science and Technology Policy, Washington, DC.

    This report presents the United States research and development program for 1993 for high performance computing and computer communications (HPCC) networks. The first of four chapters presents the program goals and an overview of the federal government's emphasis on high performance computing as an important factor in the nation's scientific and…

  12. Increasing Access for Economically Disadvantaged Students: The NSF/CSEM & S-STEM Programs at Louisiana State University

    ERIC Educational Resources Information Center

    Wilson, Zakiya S.; Iyengar, Sitharama S.; Pang, Su-Seng; Warner, Isiah M.; Luces, Candace A.

    2012-01-01

    Increasing college degree attainment for students from disadvantaged backgrounds is a prominent component of numerous state and federal legislation focused on higher education. In 1999, the National Science Foundation (NSF) instituted the "Computer Science, Engineering, and Mathematics Scholarships" (CSEMS) program; this initiative was designed to…

  13. Preparing Your Students for Careers in Science and Engineering: How Is Your State Doing?

    NASA Astrophysics Data System (ADS)

    White, Susan; Cottle, Paul

    2011-10-01

    With one glance at the starting salaries of new bachelor's degree recipients in Fig. 1, a teacher or parent can see the career fields to which their high school students interested in the best economic opportunities might aspire: several engineering fields (chemical, electrical, mechanical), computer science, physics, and mathematics.

  14. Classroom Environment and Student Outcomes Associated with Using Anthropometry Activities in High School Science.

    ERIC Educational Resources Information Center

    Lightburn, Millard E.; Fraser, Barry J.

    The study involved implementing and evaluating activities that actively engage students in the process of gathering, processing and analyzing data derived from human body measurements, with students using their prior knowledge acquired in science, mathematics, and computer classes to interpret this information. In the classroom activities…

  15. Preparing Your Students for Careers in Science and Engineering: How Is Your State Doing?

    ERIC Educational Resources Information Center

    White, Susan; Cottle, Paul

    2011-01-01

    With one glance at the starting salaries of new bachelor's degree recipients in Fig. 1, a teacher or parent can see the career fields to which their high school students interested in the best economic opportunities might aspire: several engineering fields (chemical, electrical, mechanical), computer science, physics, and mathematics.

  16. The Retention of Women in Science, Technology, Engineering, and Mathematics: A Framework for Persistence

    ERIC Educational Resources Information Center

    White, Jeffry L.; Massiha, G. H.

    2016-01-01

    Women make up 47% of the total U.S. workforce, but are less represented in engineering, computer sciences, and the physical sciences. In addition, race and ethnicity are salient factors and minority women comprise fewer than 1 in 10 scientist or engineer. In this paper, a review of the literature is under taken that explores the many challenges…

  17. The 1984 NASA/ASEE summer faculty fellowship program

    NASA Technical Reports Server (NTRS)

    Mcinnis, B. C.; Duke, M. B.; Crow, B.

    1984-01-01

    An overview is given of the program management and activities. Participants and research advisors are listed. Abstracts give describe and present results of research assignments performed by 31 fellows either at the Johnson Space Center, at the White Sands test Facility, or at the California Space Institute in La Jolla. Disciplines studied include engineering; biology/life sciences; Earth sciences; chemistry; mathematics/statistics/computer sciences; and physics/astronomy.

  18. Mathematics and statistics research department. Progress report, period ending June 30, 1981

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

    Lever, W.E.; Kane, V.E.; Scott, D.S.

    1981-09-01

    This report is the twenty-fourth in the series of progress reports of the Mathematics and Statistics Research Department of the Computer Sciences Division, Union Carbide Corporation - Nuclear Division (UCC-ND). Part A records research progress in biometrics research, materials science applications, model evaluation, moving boundary problems, multivariate analysis, numerical linear algebra, risk analysis, and complementary areas. Collaboration and consulting with others throughout the UCC-ND complex are recorded in Part B. Included are sections on biology and health sciences, chemistry, energy, engineering, environmental sciences, health and safety research, materials sciences, safeguards, surveys, and uranium resource evaluation. Part C summarizes the variousmore » educational activities in which the staff was engaged. Part D lists the presentations of research results, and Part E records the staff's other professional activities during the report period.« less

  19. Earth observations and global change decision making: A special bibliography, 1991

    NASA Technical Reports Server (NTRS)

    1991-01-01

    The first section of the bibliography contains 294 bibliographic citations and abstracts of relevant reports, articles, and documents announced in 'Scientific and Technical Aerospace Reports (STAR)' and 'International Aerospace Abstracts (IAA)'. These abstracts are categorized by the following major subject divisions: aeronautics, astronautics, chemistry and materials, engineering, geosciences, life sciences, mathematical and computer sciences, physics, social sciences, space sciences and general. Following the abstract section, seven indexes are provided for further assistance.

  20. Quantitative and Qualitative Evaluation of The Structural Designing of Medical Informatics Dynamic Encyclopedia

    PubMed Central

    Safdari, Reza; Shahmoradi, Leila; Hosseini-beheshti, Molouk-sadat; Nejad, Ahmadreza Farzaneh; Hosseiniravandi, Mohammad

    2015-01-01

    Introduction: Encyclopedias and their compilation have become so prevalent as a valid cultural medium in the world. The daily development of computer industry and the expansion of various sciences have made indispensable the compilation of electronic, specialized encyclopedias, especially the web-based ones. Materials and Methods: This is an applied-developmental study conducted in 2014. First, the main terms in the field of medical informatics were gathered using MeSH Online 2014 and the supplementary terms of each were determined, and then the tree diagram of the terms was drawn based on their relationship in MeSH. Based on the studies done by the researchers, the tree diagram of the encyclopedia was drawn with respect to the existing areas in this field, and the terms gathered were put in related domains. Findings: In MeSH, 75 preferred terms together with 249 supplementary ones were indexed. One of the informatics’ sub-branches is biomedical informatics and health which itself consists of three sub-divisions of bioinformatics, clinical informatics, and health informatics. Medical informatics which is a subdivision of clinical informatics has developed from the three fields of medical sciences, management and social sciences, and computational sciences and mathematics. Results and Discussion: Medical Informatics is created of confluence and fusion and applications of the three major scientific branches include health and biological sciences, social sciences and management sciences, computing and mathematical sciences, and according to that the structure of MeSH is weak for future development of Encyclopedia of Medical Informatics. PMID:26635440

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