After completing the course, the student can:
- gained a basic understanding of the definition and the meaning of computational diagnostics and its utility for biomedical research.
- Case studies will be discussed illustrating the interplay between computational and statistical methods that are applied to large-scale and high-dimensional data sets from genomic and genetic experiments.
- Moreover, the student will learn how to practically approach such problems by using the statistical programming language R.
- In general, the course teaches statistical thinking in the context of biomedical problems, i.e., the adaptation of machine learning methods in a problem specific manner.

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-53007: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-53007.html