Opetusohjelma
2018–2019
Arkistoitu opetusohjelma 2018–2019
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
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
7-Jan-2019
–
3-Mar-2019
Lectures 28 hours
Lectures
Tue 8-Jan-2019 - 19-Feb-2019 weekly at 10.15-12.00, Arvo F213
Exceptions:
Exceptions:
29-Jan-2019
at 10.15
–12.00
, Arvo F212
Wed 9-Jan-2019 - 20-Feb-2019 weekly at 9.15-11.00, Arvo F217
Exceptions:
Exceptions:
20-Feb-2019
at 9.15
–11.00
, Arvo A207
Exam
Wed 27-Feb-2019 at 9.00-12.00, Arvo F213
Exercises 16 hours
Exercises
Fri 11-Jan-2019 - 22-Feb-2019 weekly at 10.15-12.00, Arvo ML72
Evaluation
Numeric 1-5.
Evaluation criteria
Written exam, exercises and project work.