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.

This course is offered at TUT. For details, see TUT curriculum and teaching schedule.