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Course Criteria
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3.00 Credits
Credit 3 hours. Prerequisites: Computer Science 431 and Mathematics 200. Design of real time software systems including communications, interrupts and device control.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 390. Design and implementation of database systems. Topics include hierarchical, relational, and network models, normalization of relations, data integrity and security, and database administration. A programming project using a relational DBMS is required.
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3.00 Credits
Credit 3 hours. Prerequisites: Computer Science 390 and either Computer Science 387, Mathematics 241, or Mathematics 380. Introduction to intelligent processes and their performance by a computer. Topics include computer representation of knowledge, problem solving, game playing, theorem proving, natural language understanding, computer vision, and robotics.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 390 and Mathematics 380 or Computer Science 387. Construction and use of computer and mathematical models, parameter estimation, simulation techniques, applications of simulation, examples, and cases and studies taken from physical, social and life sciences, engineering, business and information sciences.
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3.00 Credits
Credit 3 hours. Prerequisites: Computer Science 161, 169, and 375 or equivalent and Physics 191, 193. An introduction to the study of robotic software with emphasis on basic concepts including motion, vision and speech.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 390. Principles of computer communications and networks. Topics include communication codes, communication modes, communication media, networks, and communication applications.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 390. Topics include introduction to GIS, map projections and coordinate systems, spatial data structures , data entry, spatial database management, spatial analysis, remote sensing, GPS and GIS, internet GIS, and GIS scientific applications.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 450/550. This course will investigate computational aspects of game programming, and students completing the course will have sufficient technical background, well founded in science, to be able to successfully develop computer video games. Topics covered include coordinate systems, geometric elements, transformations, hyperspace, numerical analysis, rendering, graphics, lighting, code optimization, and other system design and programming issues related to game programming.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 441. Introduction to Expert Systems. Topics include artificial intelligence techniques for Expert Systems, knowledge bases, knowledge representation, inference engines, system shells, natural language processing, heuristic techniques, rule-based systems, and meta level languages.
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3.00 Credits
Credit 3 hours. Prerequisite: Computer Science 441 and Mathematics 360. Introduction to Neural Networks. Topics include connections, processing elements, n-dimensional geometry, self-adaptive equations, data transformation structures, mapping networks, and neurocomputing applications.
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