Electrical and Computer Engineering (ECE) Courses>Data Analysis and Pattern Recognition

ECE485 - Data Analysis and Pattern Recognition

Description

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.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Formerly

ELEC 485

Note(s)

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

Prerequisites

  • Complete 1 of:
    • STAT254 - Probability and Statistics for Engineers (1.5)
    • STAT260 - Introduction to Probability and Statistics I (1.5)

Course offered by

Department of Electrical and Computer Engineering

Course schedules

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

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