Opetusohjelma
2017–2018
Arkistoitu opetusohjelma 2017–2018
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
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
Participation in course work
Master's Degree Programme in Bioinformatics
Faculty of Medicine and Life Sciences
Faculty of Medicine and Life Sciences
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
8-Jan-2018
–
4-Mar-2018
Lectures 28 hours
Tue 9-Jan-2018 - 20-Feb-2018 weekly at 10-12, Arvo group room A312
Wed 10-Jan-2018 - 21-Feb-2018 weekly at 9-11, Arvo group room A312
Exam
Tue 27-Feb-2018 at 9-12, Arvo group room A207, EXAM
Exercises 16 hours
Fri 12-Jan-2018 - 23-Feb-2018 weekly at 10-12, Computer classroom ML71
Exceptions:
Exceptions:
26-Jan-2018
at 14.15
–16.00
, ML72