Abstract
Computer science is concerned with the phenomena surrounding computers and computation; it embraces the study of algorithms, the representation and organization of information, the management of complexity, and the relationship between computers and their users. Computer science is like engineering in that it is largely a problem-solving discipline, concerned with the design and construction of systems. But the computer scientist, like the mathematician, must be able to make deliberate use of the intellectual tools of abstraction and of analysis and synthesis. The relationship between computer science and mathematics is very close and has been discussed at length in the literature. Two very interesting examinations of this relationship are [3] and [5].
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References
ACM Curriculum Committee on Computer Science. “Curriculum 68: Recommendations for Academic Programs in Computer Science.” Communications of the ACM 11, 3 (March 1968), 151–197.
ACM Curriculum Committee on Computer Science. “Curriculum’78: Recommendations for the Undergraduate Program in Computer Science.” Communications of the ACM 22, 3 (March 1979), 147–166.
Bruce W. Arden (ed.). What Can Be Automated? The Computer Science and Engineering Research Study (COSERS). MIT Press, 1981.
Education Committee (Model Curriculum Subcommittee) of the IEEE Computer Society. A Curriculum in Computer Science and Engineering Committee Report. IEEE Computer Society, November, 1976.
Donald E. Knuth. “Computer Science and Its Relation to Mathematics.” American Mathematical Monthly 81, 4 (April 1974).
C.L. Liu. Elements of Discrete Mathematics. McGraw-Hill, 1977.
Jack Lochhead. Math for Physics. Proceedings of Sloan Foundation Conference/Workshop on Undergraduate Mathematics, Williams College 1982, 1982.
George Polya. How to Solve It. Princeton University Press, 1973.
Anthony Ralston and Mary Shaw. “Curriculum’78 -- Is Computer Science Really that Unmathematical?” Communications of the ACM 23, 2 (February 1980), 67–70.
Anthony Ralston. “Computer Science, Mathematics, and the Undergraduate Curricula in Both.” American Mathematical Monthly 88, 7 (1981).
Moshe F. Rubinstein. Patterns of Problem Solving. Prentice-Hall, Inc., 1975.
D.F. Stanat and D.F. McAlister. Discrete Mathematics in Computer Science. Prentice-Hall, Inc., 1977.
Lynn Arthur Steen. Developing Mathematical Maturity. Proceedings of Sloan Foundation Conference/Workshop on Undergraduate Mathematics, Williams College 1982, 1982.
J.P. Tremblay and R.P. Manohar. Discrete Mathematical Structures With Applications to Computer Science. McGraw Hill, 1975.
D.T. Tuma and F. Reif. Problem Solving and Education: Issues in Teaching and Research. Lawrence Erlbaum Associates, 1980.
Wayne A. Wickelgren. How to Solve Problems. W.H. Freeman and Company, 1974.
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© 1983 Springer-Verlag New York Inc.
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Scherlis, W.L., Shaw, M. (1983). Mathematics Curriculum and the Needs of Computer Science. In: Ralston, A., Young, G.S. (eds) The Future of College Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5510-9_9
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DOI: https://doi.org/10.1007/978-1-4612-5510-9_9
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