Signals and Systems

Course Description

Course outline:
This course provides students with the basic tools required for understanding linear systems and the effect that such systems have on deterministic signals. Upon completion, students will be able to characterise and manipulate linear time-invariant systems in terms of input-output relationships, using both time and frequency domain methods. The course includes concepts related to signal representation, linear convolution, Fourier analysis, and sampling of continuous-time signals.

30 lectures and 6 tutorials

DP requirements: Satisfactory completion of coursework.
Assessment: Assignments (10%), Class Test (30%), June examination (60%)

Course Entry Requirements: MAM1018F/S.
Co-requisites: MAM2083F/S.