Teaching Schedule
2016–2017
Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
BIO4440
Biological data analysis with R
5
ECTS
Periods
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
- BIO4440 Biological data analysis with R
Master's Degree Programme in Bioinformatics
BioMediTech
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
9-Jan-2017
–
5-Mar-2017
Lectures 28 hours
Lectures
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
Exercises
Fri 13-Jan-2017 - 10-Mar-2017 weekly at 10-12, Computer classroom Arvo ML72
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.