300332 UE Practial Course in Modelling and Systems Biology (2025S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 06.02.2025 14:00 to Th 20.02.2025 18:00
- Deregistration possible until Sa 15.03.2025 18:00
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 06.03. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 20.03. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 27.03. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 03.04. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 10.04. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- N Thursday 08.05. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 15.05. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 22.05. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 05.06. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 12.06. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Thursday 26.06. 08:00 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
Information
Aims, contents and method of the course
Students are able to explain typical approaches of the quantitative biology and systems biology and are able to design experiments based on these approaches. Students are able to connect data from quantitative biology and systems biology with information from heterogeneous sources of biological data. Students understand fundamental methods of mathematical modeling. Students are able to apply these methods to typical problems in evolutionary systems biology and can interpret the results. This exercise establishes knowledge and practical skills in mathematical modeling of biological systems.
Assessment and permitted materials
Exercise assignments
Minimum requirements and assessment criteria
Three successful submissions of complex data analysis and modeling challenges.
Examination topics
1. Planning an experiment
2. Omics data reduction and statistics
3. Network analysis
2. Omics data reduction and statistics
3. Network analysis
Reading list
Will be provided during the seminar.
Association in the course directory
MES3, MMEI III, MEC-9, PIK-2
Last modified: Th 06.03.2025 08:47