After this course, the student can:
- describe the common properties of biosignals, and describe basic challenges in processing and analyzing them.
- explain the principles of filtering and spectral analysis and select suitable methods for applications in health and biology.
- analyze common methods of statistical modeling of biological data and explain the assumptions of the models.
- assess the performance of a developed biosignal processing or analysis method.
- apply signal processing methods to biological signals including EEG, ECG, gene expression.
- implement such methods to process biological signals.

For more information on this course, see the TUT course description from 2015 (the new description for 2016 will be updated as soon as possible):

SGN-52606: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-52606.html