Unit: Signals and Systems (8235)
|Level: 3||Credit Points: 3||Contribution Band: 2|
Availability in 2012: Not offered (Also available in: 2013)
SyllabusThis unit introduces the concepts of signal processing including transformations between continuous and discrete signals, time and frequency domains using Fourier series and Fourier transforms, and the characterisation of linear systems via the Laplace transform. Statistical methods, random variables, probability theory and applications are be covered.
PrerequisiteIntroduction to Software Engineering, and Introduction to Computer Engineering, and Electronic Systems.
Learning OutcomesAfter satisfactory completion of this unit students will be able to use MATLAB for the solution of numerical problems in linear algebra, statistics, probability theory, sampling and quantisation. They will be able to describe the important probability distribution functions, and understand and use basic statistical methods. They will be able to use sinusoids and exponentials as fundamental building blocks in the description of analog circuits and continuous systems, and in the representation of signals in the frequency domain. They will be able to describe the continuous to discrete sampling process and implement strategies to avoid the problems of aliasing.
Class Contact3 hours lectures and 1 hour tutorial per week; plus 3 hour laboratory work (6 weeks).
- 106JA Bachelor of Engineering in Network and Software Engineering
Unit Level Key:
- 1 - Offered in first year of course curriculum
- 2 - Offered in second year of course curriculum
- 3 - Offered in third year of course curriculum
- 4 - Offered in fourth year of course curriculum
- 5 - Offered in fifth year of course curriculum
- G - Offered in graduate course curriculums
- PG - Offered in postgraduate course curriculums
- R - Offered in research course curriculums
- H - Offered in honours course curriculums