| Unit name | Pattern Analysis and Statistical Learning |
|---|---|
| Unit code | EMATM1400 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Academic Year (weeks 1 - 52) |
| Unit director | Dr. De Bie |
| Open unit status | Not open |
| Pre-requisites |
EMAT10100 or EMAT10702 or equivalent |
| Co-requisites |
None |
| School/department | Department of Engineering Mathematics |
| Faculty | Faculty of Engineering |
This unit provides first hand experience about the problem of analysing complex real world datasets, like those provided by biology, web, engineering, and many other domains. Students will be exposed to the most recent approaches based on statistical methods, and optimization theory, and to state of the art algorithms. They will also experience real examples of data analysis, based on actual case studies.
