269020 VO Computational Concepts in Biology II (2021S)
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).
Details
Language: English
Examination dates
Wednesday
30.06.2021
16:00 - 18:00
Digital
Monday
13.09.2021
17:00 - 19:00
Digital
Tuesday
23.11.2021
15:00 - 16:30
Digital
Friday
21.01.2022
14:00 - 16:30
Digital
Lecturers
- Thomas Rattei
- Andras Aszodi
- Maria Filipa Baltazar de Lima de Sousa
- David Berry
- Christoph Flamm
- Craig Herbold
- Jörg Menche
- Wolfram Weckwerth
- Stefanie Widder
Classes (iCal) - next class is marked with N
Wednesday
10.03.
16:00 - 18:00
Digital
Wednesday
17.03.
16:00 - 18:00
Digital
Wednesday
24.03.
16:00 - 18:00
Digital
Wednesday
14.04.
16:00 - 18:00
Digital
Wednesday
21.04.
16:00 - 18:00
Digital
Wednesday
28.04.
16:00 - 18:00
Digital
Wednesday
05.05.
16:00 - 18:00
Digital
Wednesday
12.05.
16:00 - 18:00
Digital
Wednesday
19.05.
16:00 - 18:00
Digital
Wednesday
26.05.
16:00 - 18:00
Digital
Wednesday
02.06.
16:00 - 18:00
Digital
Wednesday
09.06.
16:00 - 18:00
Digital
Wednesday
16.06.
16:00 - 18:00
Digital
Wednesday
23.06.
16:00 - 18:00
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Written exam
Minimum requirements and assessment criteria
Ability to explain the biological problem; ability to abstract the biological problem and to connect it to computational concepts; ability to select appropriate mathematical and computational methods; ability to perform selected computational methods and to interprete their results.
Examination topics
Lectures, seminars, practical exercises, presentations and group discussions.
Reading list
Will be provided during the lecture
Association in the course directory
CO-BIO2
Last modified: Th 23.03.2023 00:24
- Large-scale experimental methods
- Data management, reduction, normalization
- Methods for differential analysis and clustering
- Enrichment analysis and network-based analysisBiological networks
- Topological analysis
- Stoichiometric analysis (MFA, FBA)
- Rule-based modeling of combinatorial complex networks
- Differential equation based methods
- Process algebras and model-checkingOrganisms and ecosystems
- Genetics and metabolomics
- Systems biology of human diseases
- Dynamical modeling of organism development (including imaging)
- Environmental modeling (ecoenzymatic theories, stochiometry based theories)
- Information processing in biological systems