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Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
BIO4440 Biological data analysis with R 5 ECTS
Period I Period II Period II Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Master's Degree Programme in Bioinformatics

Learning outcomes

After the course, the student can:
- Describe both the data required as input for basic data analysis tasks and the information obtained from the output.
- Choose the correct tools of data analysis in basic cases and explain why the tools are appropriate.
- Use R for visualization of data.
- Use R for programming simple scripts which apply standard data analysis tools to data.

Enrolment for University Studies

Enrolment time has expired


Juha Kesseli, Teacher responsible


9-Jan-2017 – 5-Mar-2017
Lectures 28 hours
Tue 10-Jan-2017 - 21-Feb-2017 weekly at 9-11, Arvo Rh A313, Note! The lectures on 17th and 31st January and 14th february are held exceptionally from 10-12, same place!
Wed 11-Jan-2017 - 22-Feb-2017 weekly at 9-11, Arvo Rh A313
Tue 28-Feb-2017 at 9-12, Arvo LS A207, EXAM
Independent work 80 hours
Exercises 14 hours
Fri 13-Jan-2017 - 10-Mar-2017 weekly at 10-12, Computer classroom Arvo ML72


Numeric 1-5.

Evaluation criteria

Exam, exercises and project work.

Further information

Recommended during the first year of study in the bioinformatics Master's degree programme. BIO2200 and BIO2310 or equivalent knowledge required as a prerequisite.