| Unit name | Symbols, Patterns and Signals |
|---|---|
| Unit code | COMS21202 |
| Credit points | 20 |
| Level of study | I/5 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Professor. Damen |
| Open unit status | Not open |
| Pre-requisites | |
| Co-requisites |
None |
| School/department | Department of Computer Science |
| Faculty | Faculty of Engineering |
This unit seeks to acquaint you with the fundamental aspects of processing digital data, presented in the context of concrete examples from applications in computer vision, graphics, speech, audio, machine learning and data mining. Particular emphasis is placed on the importance of representation and modelling.
On successful completion of this unit, you will: understand how audio, video, graphical objects, etc are represented digitally; appreciate the role of representation, feature extraction, modelling, estimation, classification and clustering in digital data processing; appreciate the differences and commonalities between data processing tasks; understand the role of training/learning in modelling, classifying and clustering; be comfortable with high-dimensional spaces and associated transformations; be able to analyse data processing problems and decide what techniques to apply; understand how to manipulate and synthesise data, including 2D and 3D visualisation;
36 hours for lectures, 24 hours of laboratory sessions. A further 140 hours are nominally set aside for coursework, private study, etc.
60% exam, 1 piece of coursework 15%, 1 piece of coursework 25%
Course notes will be provided at the start of the lectures. The following book contains material for advanced study. Richard Duda, Peter Hart, David Stork. Pattern Classification. Second edition, 2000. John Wiley and Sons. ISBN: 0-471-05669-3 Recommended
