CMPT 317
Introduction to Artificial Intelligence
Lec 02 and Tut T02 selected
A survey of essential Artificial Intelligence techniques and underlying theory. Basic search strategies, including uninformed search, heuristic search, and games. Basic knowledge representation and reasoning, including propositional satisfiability and theorem proving, Bayes rule, and Bayesian networks. Basic machine learning, including k-nearest neighbours, decision trees, neural networks, naive Bayes classifier, k-means.
Sections
Lecture
Lec 02
Mon, Wed, Fri 14:30-15:20
Tutorial, pick one
Tut T02
Tue 10:00-11:20
Tut T04
Fri 15:30-16:50
Tut T06
Wed 15:30-16:50
Syllabus
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