ECE 403

Optimization for Machine Learning

Units: 1.5

Hours: 3-1.5-0

Formerly: ELEC 403

The steepest descent, Newton, conjugate, and quasi-Newton algorithms for unconstrained optimization. Inexact line search techniques. Application of optimization methods to classification, logistic regression, and support vector machines for signal processing and machine intelligence involving audio, image, video, and other types of data. Introduction to constrained optimization.


  • Credit will be granted for only one of ECE 403, ELEC 403.


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

Summer 2018 Fall 2018 Spring 2019

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

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