Detailed Course Information |
Fall 2015
Apr 28,2025 |
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| CMPS 331 - ARTIFICIAL INTELLIGENCE |
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A study of the representation and reasoning techniques of Artificial Intelligence. Basic reasoning technques such as blind searches, heuristic searches and game playing will be discussed, along with characteristics of AI solutions. Representation techniques including propositional logic and predicate logic will be discussed, along with issues in the representation of knowledge. In addition, various AI tools and techniques will be discussed, including non-monotonic reasoning, probabilistic reasoning, expert systems, symbolic and connectionist learning, fuzzy logic and planning.
0.000 TO 4.000 Credit hours 0.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Hybrid, Lecture, Online Course Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: FOR CMPS 331 General Requirements: Course or Test: CMPS 231 Minimum Grade of D May not be taken concurrently. and Course or Test: MATH 237 Minimum Grade of D May not be taken concurrently. |
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