ELEC 485

Data Analysis and Pattern Recognition

Units: 1.5

Hours: 3-0

Formerly: CENG 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.

Note:

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

Prerequisites:

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

Schedules:
Summer Fall Spring

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