After completing the course, the student can:
- describe the basic structure of pattern recognition systems and the statistical bases of the classification theory.
- distinguish supervised learning methods from the unsupervised ones.
- apply supervised learning methods to the classifier design.
The course can be completed by one of the following courses:
SGN-13006: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-13006.html
TIETS39: https://www10.uta.fi/opas/opintojakso.htm?rid=11458&idx=3&uiLang=fi&lang=en&lvv=2015
This course can be completed by several options based on availability. Please see both TUT and UTA websites for information on this course.