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CS 54201 - ARTIFICIAL INTELLIGENCE |
(Slashed with CS 44201) Computational intelligence concepts and methods such as modeling real-world problems as state-space search problems; heuristics and meta-heuristics search; game playing and adversarial search; constraint-based optimization and search; automated machine learning such as clustering, neural networks, regression analysis, decision trees, Markov models and HMM; Deep neural networks and its application in speech and image understanding; logical inference techniques, fuzzy systems, case-based reasoning and uncertainty based reasoning; Knowledge-based systems; planning techniques and systems Prerequisite: Graduate standing.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: |
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