| Unit name | Evolutionary Computing |
|---|---|
| Unit code | COMSM0302 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Dr. Burgess |
| Open unit status | Not open |
| Pre-requisites |
None |
| Co-requisites |
EMAT31600 |
| School/department | Department of Computer Science |
| Faculty | Faculty of Engineering |
This unit describes the basic theory, mechanisms and techniques of evolutionary computing. It covers genetic algorithms, genetic programming and artificial life, with an emphasis on the use of such techniques in machine learning. Practical, hands-on experiments are conducted by the students. This unit is aimed at MSc students following the Machine Learning and Data Mining theme.
