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Archived teaching schedules 2018–2019
You are browsing archived teaching schedule. Current teaching schedules can be found here.
BIO4440 Biological data analysis with R 5 ECTS
Periods
Period I Period II Period II Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Master's Degree Programme in Bioinformatics
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]uta.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:
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:
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.