Universität Wien FIND

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300332 UE Practial Course in Modelling and Systems Biology (2020S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Registration/Deregistration

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 11.03. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 25.03. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 01.04. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 22.04. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 29.04. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 06.05. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 13.05. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 20.05. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 27.05. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 03.06. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 10.06. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 17.06. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A
Wednesday 24.06. 10:00 - 12:30 Seminarraum 5.43, UZA Augasse 2-6, 5.Stock Kern A

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

Four successful submissions of complex data analysis and modeling challenges.

Examination topics

1. Planning an experiment
2. Omics data reduction and statistics
3. Network analysis
4. Quantitative Modeling

Reading list

Will be provided during the seminar.

Association in the course directory

MES3, MMEI III, MEC-9, MMB W-2, MMB W-3, PIK-2

Last modified: Mo 05.10.2020 14:30