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
For more information on this course, see the TUT and UTA course descriptions above from 2015 (the new descriptions for 2016 will be updated as soon as possible).
This course can be completed by several options based on availability. Please see both TUT and UTA websites for information on this course.