Laajuus: 5

Aikataulu: 23.02.2018 - 18.05.2018

Opetusperiodi (voimassa 01.08.2018-31.07.2020): 

IV-V (Spring 2020), lectured every other year (not lectured in the academic year 2018-2019), alternating with CS-E4880

Osaamistavoitteet (voimassa 01.08.2018-31.07.2020): 

After the course students will have a basic understanding of statistical data analysis methods that are used in various genetics, biomedicine, personalized medicine and digital health problems. Students will learn to apply various statistical methods in biomedical problems as well as presentation and team work skills.

Sisältö (voimassa 01.08.2018-31.07.2020): 

The course introduces statistical methods for analyzing high-throughput biological data in various genetics and personalized medicine problems, including e.g. genetic association analysis, survival analysis, biomarker identification and drug response modeling.

Toteutus, työmuodot ja arvosteluperusteet (voimassa 01.08.2018-31.07.2020): 

 Exercise work/Project assignments.

Työmäärä toteutustavoittain (voimassa 01.08.2018-31.07.2020): 

24 + 12 (4 + 2)

Oppimateriaali (voimassa 01.08.2018-31.07.2020): 

To be specified in MyCourses at the start of the course.

Korvaavuudet (voimassa 01.08.2018-31.07.2020): 

Replaces the course T-61.6070 Special Course in Bioinformatics I.

Esitiedot (voimassa 01.08.2018-31.07.2020): 

Basics in mathematics, statistics, computer science and programming. 

Arvosteluasteikko (voimassa 01.08.2018-31.07.2020): 

0-5, may be graded with pass/fail

Opintojakson kuvaus