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Course Criteria
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1.00 - 3.00 Credits
Readings and/or computer implementations in area of interest to individual student. Does not apply to a major in computer science. May be repeated up to six hours. Graded S/U.
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3.00 Credits
Problem solving and computer programming techniques. Variables, loops, and other control structures, arrays, subprograms, and parameter passing. Credit not applicable toward a degree in computer science. Graded S/U.
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3.00 Credits
Spring. Techniques and conventions in the design, conduct, and support of scientific research in computer science. Research methods, evaluation of approaches, and presentation and dissemination of results. Domain specific research methods, possibly in the areas of systems, algorithms, and human-computer interactions.
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3.00 Credits
Spring. Structure of operating systems. Physical input-output, buffering, interrupt processing. Memory, processor, device, information management; resource management interdependencies. Job and processor scheduling. Concurrent programming. Prerequisites: Admission to MS in CS program, or consent of department, plus CS 327 or equivalent.
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3.00 Credits
Fall. Fundamental concepts of languages. Processors, data, operations, sequence control, data control, storage management, syntax, translation. Prerequisites: Admission to MS in CS program, or consent of department, plus CS 217 and CS 335 or equivalent.
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3.00 Credits
Fall (odd years). Various types of languages (context-sensitive, context-free, regular). Discussion of recognition devices such as pushdown automata, linear bounded automata, and Turing machines. Some topics of current interest. Prerequisite: MATH 222 or MATH 322.
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3.00 Credits
Fall (even years). Principles and practice of parallel computing. Parallel algorithm development and analysis. Design, implementation, and evaluation of parallel programs for shared memory, local memory, and vector architectures. Prerequisites: Admission to MS in CS program, or consent of department, plus CS 327 or equivalent.
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3.00 Credits
Summer (odd years). Intermediate AI programming with application to representative problems requiring searching, reasoning, planning, matching, deciding, parsing, seeing, and learning.
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3.00 Credits
Spring (every year), Summer (even years). Graphic I/O devices; 2-dimensional and 3-dimensional display techniques; display processors; clipping and windowing; hidden line removal; data structures for graphics. Prerequisites: Admission to MS in CS program, or consent of department, plus CS 335 and MATH 222 or equivalent.
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3.00 Credits
Spring. Data communications concepts; network topologies; transmission media; network access control; communication protocols; network architecture; LANs, MANs, and WANs; internetworking. Prerequisites: Admission to MS in CS program, or consent of department, plus CS 327 or equivalent.
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