Catalog Entries |
Date
Apr 26, 2024 |
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| CSC 660 - Art.Intellig.:Princip.&Techniq |
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The course covers computational approaches for modeling uncertainty and solving decision problems. Topics include search techniques, constraint satisfaction problems, game playing (including alpha-beta pruning), propositional logic, predicate logic, knowledge representation, planning, probabilistic reasoning, Bayesian networks and case-based reasoning. It also covers advanced topics in Artificial Intelligence such as natural language processing and robotics. [3-0, 3 cr.]
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Tutorial Computer Science & Mathematics Department Course Attributes: MS-INE-Comp.Mod.Data.Anal.Req. |
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