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Arkistoitu opetusohjelma 2018–2019
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
BIO4716 SGN-53007 Computational Diagnostics 5 ECTS
Period I Period II Period III Period IV
Language of instruction
Type or level of studies
Basic studies
Course unit descriptions in the curriculum
Master's Degree Programme in Bioinformatics
Faculty of Medicine and Life Sciences

Learning outcomes

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.


Homepage URL


27-Aug-2018 – 19-Oct-2018

Further information

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