ECE 449 - Intelligent Systems Engineering

★ 3 (fi 8)(EITHER, 3-0-3/2)

Faculty of Engineering

Intelligent systems for automatic control and data analysis. The concepts of vagueness and uncertainty, approximate reasoning, fuzzy rule-based systems and fuzzy control. Strategies for learning and adaptation, supervised and reinforcement learning, self-organization and the selection of neural network architectures. Discussion of the principles of search and optimization, evolution and natural selection and genetic algorithms. Introduction to hybrid intelligence. Applications of intelligent systems for pattern recognition, classification, forecasting, decision support, and control. Credit may be obtained in only one of CMPE 449 or ECE 449.

Fall Term 2021

Lectures

LECTURE A1 (42152)
Capacity: 120
2021-09-01 - 2021-12-07
MWF 13:00 - 13:50 (NRE 1-001)

Primary Instructor: Petr Musilek

Labs

LAB D41 (42154)
Capacity: 60
2021-09-01 - 2021-12-07
H 14:00 - 16:50 (ETLC E5-013)

Assistant Instructor: Bahareh Lashkari
LAB D42 (51380)
Capacity: 60
2021-09-01 - 2021-12-07
H 14:00 - 16:50 (TBD)

Assistant Instructor: Bahareh Lashkari