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Archived teaching schedules 2015–2016
You are browsing archived teaching schedule. Current teaching schedules can be found here.
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


4-Jan-2016 – 31-Mar-2016
Lectures 28 hours
Tue 12-Jan-2016 - 1-Mar-2016 weekly at 13-15, Lecture hall FM1 (3rd floor), Weekly meetings
Wed 13-Jan-2016 - 9-Mar-2016 weekly at 9-11, Lecture hall FM1 (3rd floor), Weekly meetings
Independent work 80 hours
Exercises 14 hours
Fri 15-Jan-2016 - 11-Mar-2016 weekly at 14-16, Computer classroom ML74 (FM1, 5th floor), Weekly meetings


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.