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.


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


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

Summer Fall Spring

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