English
Advanced studies
Master's Degree Programme in Bioinformatics
BioMediTech
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
Teachers
Juha Kesseli, Teacher responsible
juha.kesseli[ät]tuni.fi
Teaching
4-Jan-2016
–
31-Mar-2016
Lectures 28 hours
Lectures
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
Exercises
Fri 15-Jan-2016 - 11-Mar-2016 weekly at 14-16, Computer classroom ML74 (FM1, 5th floor), Weekly meetings
Evaluation
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.