English
Advanced studies
Master's Degree Programme in Bioinformatics
BioMediTech
Learning outcomes
After the course, the student can:
- Explain what is systems biology
- Explain the principles of common inference and modeling approaches.
- Apply inference and modeling approaches to biomedical data
- Apply data analysis methods to large multi modal datasets
Enrolment for University Studies
Enrolment time has expired
Teachers
Matti Nykter, Teacher responsible
matti.nykter[ät]tuni.fi
Juha Kesseli, Teacher responsible
juha.kesseli[ät]tuni.fi
Teaching
3-Sep-2015
–
22-Oct-2015
Lectures 24 hours
Lectures
Tue 1-Sep-2015 at 9-12, HISTO classroom (FM1, 5th floor), First lecture exceptionally on Tuesday.
Thu 10-Sep-2015 - 15-Oct-2015 weekly at 9-12, HISTO classroom (FM1, 5th floor), Weekly lectures on Thursdays.
Exam
Thu 22-Oct-2015 at 9-12, HISTO classroom (FM1, 5th floor)
Evaluation
Numeric 1-5.
Evaluation criteria
Further information
Recommended during the second year of study in the bioinformatics programme. Prerequisites: BIO2200 Introduction to computational biology, BIO4440 Basic biological data analysis with R & BIO4450 High-throughput data analysis or equivalent prior knowledge in the field.