08-11-2026, 08:10 AM
CSE 573 Introduction to AI
Summary
The University of Washington’s CSE 573: Introduction to Artificial Intelligence is a comprehensive course covering the core ideas and algorithms behind modern AI. The curriculum progresses from intelligent agents and problem-solving/search algorithms to informed and adversarial search, ExpectiMax, Markov Decision Processes, reinforcement learning, uncertainty, Hidden Markov Models, Bayesian networks and probabilistic inference, and machine learning.
Students apply these concepts through programming projects involving search, multi-agent systems, reinforcement learning, and inference/filtering, alongside a written assignment and a final research or practical AI project. The course recommends Russell and Norvig’s Artificial Intelligence: A Modern Approach as its main textbook and combines theoretical foundations with substantial hands-on programming.
COURSE
Summary
The University of Washington’s CSE 573: Introduction to Artificial Intelligence is a comprehensive course covering the core ideas and algorithms behind modern AI. The curriculum progresses from intelligent agents and problem-solving/search algorithms to informed and adversarial search, ExpectiMax, Markov Decision Processes, reinforcement learning, uncertainty, Hidden Markov Models, Bayesian networks and probabilistic inference, and machine learning.
Students apply these concepts through programming projects involving search, multi-agent systems, reinforcement learning, and inference/filtering, alongside a written assignment and a final research or practical AI project. The course recommends Russell and Norvig’s Artificial Intelligence: A Modern Approach as its main textbook and combines theoretical foundations with substantial hands-on programming.
COURSE
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