CMPUT 366 - Intelligent Systems

★ 3 (fi 6)(EITHER, 3-0-3)

Faculty of Science

Introduction to artificial intelligence focusing on techniques for building intelligent software systems and agents. Topics include search and problem-solving techniques, knowledge representation and reasoning, reasoning and acting under uncertainty, and machine learning (including neural networks). Recent applications such as planning and scheduling, diagnosis, decision support systems, and data mining. Prerequisites: CMPUT 204 or 275; one of STAT 141, 151, 235 or 265 or SCI 151.

Fall Term 2020

Lectures

LECTURE A1 (75068)
2020-09-01 - 2020-12-07
TH 14:00 - 15:20 (TBD)

Primary Instructor: Vadim Bulitko

Labs

LAB D01 (75502)
2020-09-01 - 2020-12-07
M 17:00 - 19:50 (TBD)

Winter Term 2021

Lectures

LECTURE B1 (44242)
2021-01-04 - 2021-04-09
MWF 11:00 - 11:50 (TBD)

Primary Instructor: James Wright

Labs

LAB H01 (44243)
2021-01-04 - 2021-04-09
H 17:00 - 19:50 (TBD)