Catalog description

Introduction to foundational concepts and techniques in Artificial Intelligence. Students will gain experience in diverse subfields of AI through classes, labs, assignments and projects. Potential topics include the following: Problem solving by search, Logic (programming), Planning, Constraint satisfaction problems, Uncertainty and probabilistic reasoning, Bayesian networks, and Automated Learning. Offered once a year.

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Class #richmond_2-0349Fall 2026UGRD

Days & times: No scheduled meeting time
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Instructor: Staff

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