James Wright, PhD

Assistant Professor, Faculty of Science - Computing Science

Fall Term 2020 (1730)

CMPUT 296 - Topics in Computing Science

★ 3 (fi 6)(VAR, VARIABLE)

This topics course is designed for new course offerings that may be offered in a given term. Prerequisites are determined by the instructor in the course outline. See Note (3) above.

LECTURE A1 (173087989)
2020-09-01 - 2020-12-07
TH 12:30 - 13:50 (TBD)

Winter Term 2021 (1740)

CMPUT 455 - Search, Knowledge and Simulation

★ 3 (fi 6)(EITHER, 3-0-0)

When making decisions in games, computers rely on three main ideas: search, knowledge and simulations. Knowledge can be created by machine learning techniques and encoded in deep neural networks. Search and simulations help to understand the short and long-term consequences of possible actions. This course leads from basic concepts to state-of-the-art decision-making algorithms. Prerequisite: any 300-level CMPUT.

LECTURE B1 (174044283)
2021-01-04 - 2021-04-09
TH 14:00 - 15:20 (CCIS L2 190)


CMPUT 366 - Intelligent Systems

★ 3 (fi 6)(EITHER, 3-0-3)

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.

LECTURE B1 (174044242)
2021-01-04 - 2021-04-09
MWF 11:00 - 11:50 (TBD)