CISC339

This course provides a broad technical introduction and a survey of core concepts of artificial intelligence (AI). Topics include history of AI, search (search space, uninformed and informed search, constraint satisfaction), logic reasoning (probabilistic models, uncertainty, Bayesian networks), machine learning (inductive learning, decision trees, reinforcement learning), and perception and cognition (natural language processing, computer vision, robotics). AI techniques have become an essential element in modern computer software and are thus essential for a successful career and advanced studies in computer science.

In-Person On-Campus, Tutorial

Pass/Fail (P), Standard (S)

School of Liberal Arts