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Course Criteria
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3.00 Credits
This course will emphasize programming techniques in a modern programming language, currently Pascal, using microcomputers. Program design, coding, debugging, and testing of programs for a wide variety of problems commonly solved by computers. Not applicable toward a degree in computer science. Prerequisite: CSCI 170.
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3.00 Credits
Numerical algorithms fundamental to scientific work including discussion of error. Prerequisite: CSCI 203 and MATH 202 and 132. (Dual listed as MATH 373.)
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3.00 Credits
Introduction to Internet including methods of use such as telnet, FTP e-mail, WWW, gopher, and Netscape. Not applicable toward a degree in computer science. Prerequisites: CSCI 170 or approval of department head.
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3.00 Credits
Involvement in practical computer projects. Prerequisite: Permission of department head.
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3.00 Credits
Theory and implementation of operating systems including process management, device management, memory management, and file system management. Security, networking, and distributed operating systems. Prerequisites: CSCI 253, 305, and 310.
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3.00 Credits
Computer hardware architectures including microcomputers, minicomputers, mainframes and supercomputers; memory organization including cache and virtual memory; pipelining; RISC architecture; parallel processing architectures; comparison of representative architectures. Prerequisites: CSCI 253 and 305.
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3.00 Credits
An introduction to the discipline of statistics and its application to problems of biology, including human biology, medicine, and public health. Topics include Bayesian inferences, estimation techniques, hypothesis testing, goodness of fit, and analysis of variance. Prerequisite: Math 114 or Math 131 or permission of department head. (Same as Math 420).
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3.00 Credits
A continuation of 420. Topics include linear and multiple regression, logistics regression, longitudinal data analysis, nonparametric methods and principal component techniques. Prerequisites: Math 420 or CSCI 420 and junior standing or above. (Same as Math 421).
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3.00 Credits
Development of the simplex algorithm, revised simplex, duality, and application. Prerequisite: MATH 202.
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3.00 Credits
A mathematical approach to concepts in advanced linear and nonlinear programming, dynamic programming, game theories, queueing theory and other standard topics in operations research. Prerequisites: CSCI 435 and MATH 303. (Same as MATH 436.)
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