Department of Computer Science

Course director: M. Spetsakis
Implementation details

COSC 4242.03 Signals and Systems
(x-listed COSC 5391.03)

Section M  Winter       Mon, Wed, Fri 10:30

The study of computer vision, graphics and robotics requires background in the concept of discrete signals, filtering, and elementary linear systems theory. Discrete signals are obtained by sampling continuous signals.

In this course, students will review the concept of a discrete signal, the conditions under which a continuous signal is completely represented by its discrete version, linear time-invariant systems.

Topics covered may include the following.

Text: A. V. Oppenheim, A. S. Willsky, Signals and Systems, Prentice Hall, 1983

Prerequisites: general prerequisites; COSC3121.03 or MATH3241.03.

Degree Credit Exclusions: COSC4010B.03, EATS4020.03, MATH4830.03, PHYS4060.03.