ECE 447 - Data Analysis and Machine Learning for Engineers

3 units (fi 8)(EITHER, 3-1S-0)

Faculty of Engineering

The course introduces basic concepts and techniques of data analysis and machine learning. Topics include: data preprocessing techniques, decision trees, nearest neighbor algorithms, linear and logistic regressions, clustering, dimensionality reduction, model evaluation, deployment methods, and emerging topics. Prerequisites: ECE 220 or CMPUT 275, and ECE 342 or STAT 235, or consent of instructor.

No syllabi

Winter Term 2025

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE B1
(76560)
150
2025-01-06 - 2025-04-09 (TR)
11:00 - 12:20

Seminars

Section Capacity Class times Login to view Instructor(s) and Location
SEMINAR J31
(76561)
150
2025-01-06 - 2025-04-09 (W)
08:00 - 08:50