Aims and Fit of Module

To present the concepts involved with signals and systems. Namely:
Signal Classification, Representation and Analysis
Fourier Series
Fourier Transform
Laplace Transform
Linear Time-invariant (LTI) Systems and Filters
Noise Remove in Digital (data) and Analogue Systems

Learning outcomes

A. Demonstrate a clear understanding of the use of Fourier Series to represent periodic continuous time signals.
B. Demonstrate a clear understanding of the use of the Fourier Transform to represent finite energy signals.
C. Demonstrate a clear understanding of Laplace Transform, its properties and its use in circuit and system analysis.
D. Demonstrate a clear understanding of Linear Time Invariant Systems, and filters.
E. Demonstrate the ability to analyse various signals in both the time and frequency domains.

Method of teaching and learning

This module will be delivered by a combination of formal lectures, problem classes, class demonstrations, and case studies.