Mathematical Models in Biology

What it is about

You learn how dynamic and stochastic models are constructed and applied in biology. The module covers, among other things, linear compartment models, Markov chains, birth–death and branching processes, as well as age- and space-structured populations. In the end you will be able to compare different modeling approaches and choose the appropriate model level for a biological system.

What you will be able to do

Comparison of deterministic and stochastic modeling approaches
Assessment of discrete vs. continuous models
Formulation of analytical, stochastic and discrete models for biological systems
Selection of an appropriate modeling level for a given system

What the module consists of

VorlesungPresentation of the content with examples and discussion for introduction and orientation
ÜbungDeepening through practice sheets and independent solution control

Teaching method

VorlesungTransmission of concepts, demonstration of examples, stimulus for independent literature work
ÜbungApplication and deepening of the lecture content through exercises and solutions
SelbststudiumIndependent review and working on the exercises

Dates

LectureMathematical Models in Biology 1 [MA3601]2 groups to choose from

AFri08:30–10:00
00.06.011, MI Hörsaal 3 (5606.EG.011)
14× · 16.10.–05.02.
- 16.10.
- 23.10.
- 06.11.
- 13.11.
- 20.11.
- 27.11.
- 04.12.
- 11.12.
- 18.12.
- 08.01.
- 15.01.
- 22.01.
- 29.01.
- 05.02.
AFri08:30–10:00102, Hörsaal 2, "Interims I" (5620.01.102)once on 30.10.
BWed08:30–10:00
00.06.011, MI Hörsaal 3 (5606.EG.011)
15× · 14.10.–03.02.
- 14.10.
- 21.10.
- 28.10.
- 04.11.
- 11.11.
- 18.11.
- 25.11.
- 02.12.
- 09.12.
- 16.12.
- 23.12.
- 13.01.
- 20.01.
- 27.01.
- 03.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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