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
Tutorial, pick one

Syllabus

Have the syllabus for CMPT 317? Share it and everyone gets the grading, textbooks and rules.