CS 5510 Principles of Artificial Intelligence 3.0 Credits
This course covers foundational topics in artificial intelligence, including agents, problem formulation, and search in deterministic and uncertain environments. Topics include heuristic and stochastic search, decision making in competitive and multi-agent settings, and principles of knowledge representation and structured problem solving. The course provides an introductory overview of fundamental machine-learning concepts, including basic supervised learning models, optimization strategies, and simple data-driven classifiers, with an emphasis on understanding core ideas and how these methods are used.
Repeat Status: Not repeatable for credit
Prerequisites: (CS 5010 [Min Grade: D] or CS 501 [Min Grade: D]) and (CS 5030 [Min Grade: D] or CS 502 [Min Grade: D])