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Books on the topic 'Computing courses'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Carter, Jenny, and Clive Rosen, eds. Transnational Higher Education in Computing Courses. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28251-6.

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2

Department of Education & Science. Nottingham Polytechnic: Aspects of three computing courses : a report by HMI. Stanmore: Department of Education and Science, 1991.

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3

Engineering, Council for National Academic Awards Committee for. First degree courses in computing in polytechnics and colleges: A review. London: The Council, 1990.

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4

Department of Education & Science. Wi dening of access to higher education courses in computing and mathematics in three polytechnics. Stanmore: Department of Education and Science, 1990.

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5

Department of Education & Science. Norwich City College: Higher education courses in computing and information technology : a report by HMI. Stanmore: Department of Education and Science, 1990.

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6

Burgess, R. S. Good practice in assessment: Criteria and procedures for CNAA undergraduate courses : an investigation of criteria used in the moderation of assessments in undergraduate courses in computing. London: Council for National Academic Awards, 1989.

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7

Bishop, Peter. Comprehensive computing: The GCSE course. London: Edward Arnold, 1988.

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8

Kemeny, John G. Computing for a course in finite mathematics. Reading, Mass: Addison-Wesley Pub. Co., 1985.

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9

Development, North Atlantic Treaty Organization Advisory Group for Aerospace Research and. Special course on parallel computing in CFD. Neuilly sur Seine, France: AGARD, 1995.

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10

university, Open. M150 course guide: Data, computing and information. Milton Keynes: Open University, 2004.

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11

Kostyukov, Viktor. Molecular mechanics of biopolymers. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1010677.

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The monograph is devoted to molecular mechanics simulations of biologically important polymers like proteins and nucleic acids. It is shown that the algorithms based on the classical laws of motion of Newton, with high-quality parameterization and sufficient computing resources is able to correctly reproduce and predict the structure and dynamics of macromolecules in aqueous solution. Summarized the development path of biopolymers molecular mechanics, its theoretical basis, current status and prospects for further progress. It may be useful to researchers specializing in molecular Biophysics and molecular biology, as well as students of senior courses of higher educational institutions, studying the biophysical and related areas of training.

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12

Inc, Novell, ed. SUSE Linux enterprise server administration (course 3037). Boston, Mass: Thomson/Course Technology, 2007.

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13

Knowledge and computing: A course on computer epistemology. Budapest: Central European University Press, 2010.

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14

College computing 2: A course book for students. London: Cassell, 1985.

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15

MariaDB crash course. Upper Saddle River, NJ: Addison-Wesley, 2012.

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16

Stolze, Joachim. Quantum computing: A short course from theory to experiment. 2nd ed. Weinheim: Wiley-VCH, 2008.

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17

Williams, Al. OLE 2.0 and DDE distilled: A programmer's crash course. Reading, Mass: Addison-Wesley, 1994.

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18

OLE 2.0 and DDE distilled: A programmer's crash course. Reading, Mass: Addison-Wesley, 1994.

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19

Inc, Novell, ed. SUSE Linux enterprise server administration (course 3112): CLA, LPIC-1 & Linux+. 2nd ed. Boston, MA: Course Technology, Cengage Learning, 2012.

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20

Team, MU120 Course, ed. Open Mathematics. Unit 6: Mathematics and computing : A first level multidisciplinary course : Maps. [Place of publication not identified]: Open University, 2006.

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21

Fingar, Peter. Computing illustrated: A short course and desk reference for professionals in government and business. Tampa, Fla., U.S.A: Meghan-Kiffer Press, 1988.

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22

Goldfarb, Teri. WordPerfect Presentations 3.0 for Windows: Quick course. Cincinnati, Ohio: South-Western Educational Pub., 1996.

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23

S, Gadhok Satwant, ed. Visual Basic Web database interactive course. Corte Madera, CA: Waite Group Press, 1997.

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24

Ubiquitous learning strategies for pedagogy, course design, and technology. Charlotte, NC: Information Age Pub., 2011.

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25

Rosen, Clive, and Jenny Carter. Transnational Higher Education in Computing Courses: Experiences and Reflections. Springer, 2020.

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26

Irving, Philip J. Computer Networks (Crucial Study Texts for Computing Degree Courses). Learning Matters, 2004.

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27

Transnational Higher Education in Computing Courses: Experiences and Reflections. Springer, 2019.

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28

Sussman, Alan, Anshul Gupta, Arnold L. Rosenberg, Sushil K. Prasad, and Charles C. Weems. Topics in Parallel and Distributed Computing: Introducing Concurrency in Undergraduate Courses. Elsevier Science & Technology Books, 2015.

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29

Petersen, Wesley, and Peter Arbenz. Introduction to Parallel Computing. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198515760.001.0001.

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In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines and finally to distributed memory machines. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and in some cases Fortran. This book is also ideal for practitioners and programmers.

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30

P-system Pascal manual: A reference manual for the UCSD Pascal for Computing courses in the Faculty of Mathematics. 2nd ed. Milton Keynes: Open University, 1993.

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31

Mathematics in Computing (Course M261). Open University Press, 1989.

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32

University, Open, ed. Mathematics and computing: Course guide. Milton Keynes: Open University, 2002.

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33

Advisory Group for Aerospace Research and Development. Fluid DynamicsPanel., ed. Special course on parallel computing in CFD. Neuilly sur Seine: Agard, 1995.

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34

Prasad, Sylvie E. Creative Mobile Media: A Complete Course. World Scientific Publishing Co Pte Ltd, 2017.

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35

Cisco Networking Cisco Networking Academy. Scaling Networks V6 Course Booklet. Cisco Press, 2017.

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36

Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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37

University, Open, ed. Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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38

University, Open, ed. Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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39

CSCI A110, introduction to computers & computing: Course workbook. Hayden-McNeil, 2003.

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40

University, Open, ed. Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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41

Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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42

University, Open, ed. Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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43

University, Open, ed. Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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44

University, Open, ed. Mathematics and computing: A level 3 course : Optimization. Milton Keynes: Open University, 2002.

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45

University, Open, ed. Mathematics and computing: A level 2 course : Analysing data. Milton Keynes: Open University, 2003.

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46

University, Open, ed. Mathematics and computing: A level 3 course : Handbook 2. Milton Keynes: Open University, 2002.

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47

Stolze, Joachim, and Dieter Suter. Quantum Computing: A Short Course from Theory to Experiment. Wiley & Sons, Limited, John, 2007.

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48

University, Open, ed. Mathematics and computing: A level 2 course : Analysing data. Milton Keynes: Open University, 2003.

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49

University, Open, ed. Mathematics and computing: A level 2 course : Analysing data. Milton Keynes: Open University, 2003.

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50

University, Open, ed. Mathematics and computing: A level 2 course : Analysing data. Milton Keynes: Open University, 2003.

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