ECE 485

Data Analysis and Pattern Recognition

Units: 1.5

Hours: 3-0-0

Formerly: ELEC 485

Statistical data analysis and random processes, ergodicity and stationarity, feature extraction and selection, Bayesian decision procedures, parametric and non-parametric pattern classification and clustering techniques. Applications to big data, data science, and computer security problems.


  • Credit will be granted for only one of ECE 485, ELEC 485.


Undergraduate course in Electrical and Computer Engineering offered by the Department of Electrical and Computer Engineering in the Faculty of Engineering.

Fall 2019 Spring 2020 Summer 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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