A fundamental principle underlying engineering analysis and design is to consider complex systems as interconnected (possibly linear) blocks with signals being conveyed between them, and modified by passage through the blocks. There are many levels of understanding possible in such a framework, and they are obtained by using tools such as differential equation modelling, ideas of convolution and impulse response, Laplace and Fourier transform analysis and computer simulation.

A thorough understanding of these tools must be considered core to the effectiveness of engineers working in signal processing, communications, and automatic control, and providing these tools forms the content of this course. In order to study signals and systems, it is necessary to experiment with them via computer simulation, and for this purpose this course will also provide an introduction to the MATLAB (an acronym from `Matrix Laboratory') programming language.

In particular, the subject forms part of the programs in:

As in any subject, students should make themselves familiar with the requirements set down in Assessment and Key Dates.

All students should also be familiar with the policies and procedures set down by the Faculty of Engineering in the Undergraduate Policy and Procedures rules.

The coordinator for the subject is A/Prof. Brett Ninness. Any problems, requests, suggestions or feedback you may have are welcomed.

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