ECE 535

Data Analysis and Pattern Recognition

Units: 1.5

Formerly: ELEC 535

Statistical data analysis and random processes, ergodicity and stationarity, Bayesian decisions procedures, feature extraction and selection, parametric and non-parametric pattern classification and clustering techniques. Applications to big data, data science, and computer security problems. Students are required to complete a project.

Note:

  • Credit will be granted for only one of ECE 535, ECE 485, ELEC 485, ELEC 535.

Graduate course in the Electrical and Computer Engineering program offered by the Faculty of Graduate Studies.

Schedules:
Summer 2018 Fall 2018 Spring 2019

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

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