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Course Criteria
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3.00 Credits
Prereq Cpt S 360. Practical topics in network security; policy and mechanism, malicious code; intrusion detection, prevention, response; cryptographic techniques for privacy and integrity; emphasis on tradeoffs between risk of misuse, cost of prevention, and societal issues; concepts implemented in programming assignments. Additional projects/assignments reqd for grad cr. Cooperative course taught by UI, open to WSU students (CS 438).
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3.00 Credits
Prereq Cpt S 360, Math 216. Computer security concepts, models and mechanism; encryption technology, formal models, policy and ethical implications. Credit not granted for both Cpt S 427 and 527.
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3.00 Credits
Prereq FORTRAN, C, or other programming language; Math 315. Same as Math 448. Credit not granted for both Cpt S 430 and 530.
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3.00 Credits
Prereq Cpt S 122, Stat 360. Hands-on experience with neural network modeling of nonlinear phenomena; application to classification, forecasting, identification and control. Credit not granted for both Cpt S 434 and 534.
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3.00 Credits
Prereq Math 172; Cpt S 223; CptS 224. Data taxonomy, sampling, plotting, using and extending a visualization package, designing visualization and domain-specific techniques. Credit not granted for both Cpt S 438 and 538.
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3.00 Credits
Prereq Cpt S 122; Math 212 or 360. An introduction to the field of artificial intelligence including heuristic search, knowledge representation, deduction, uncertainty reasoning, learning, and symbolic programming languages. Credit not granted for both Cpt S 440 and 540.
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3.00 Credits
Prereq Cpt S 223, 224; Math 220. Raster operations; transformations and viewing; geometric modeling; visibility and shading; color. Credit not granted for both Cpt S 442 and 542. Cooperative course taught by WSU, open to UI students (CS 324).
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3.00 Credits
Prereq junior standing. Concepts and methodologies of engineering, social and behavioral sciences to address ergonomic, cognitive, social and cultural factors in the design and evaluation of human-computer systems. Credit not granted for both Cpt S 443 and 543.
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3.00 Credits
Prereq Cpt S 223; Cpt S 317. Analysis of data structures and algorithms; computational complexity and design of efficient data-handling procedures.
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3.00 Credits
Prereq Cpt S 223, 224. Introduction to database concepts, data models, database languages, database design, implementation issues.
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