WP31 Stochastic Processes in Physics and Biology (TE2)
The module covers the following topics: Markov chains and population genetics, branching processes, continuous time Markov processes and molecular motors, gene regulation, rate equations, Master equation and Fokker-Planck equation, Kramers-Moyal expansion, Smoluchowski equation, phase separation kinetics, Langevin equations and non-equilibrium growth processes, diffusion limited aggregation, directed percolation, diffusion-reaction models, linear response theory, Onsager relations, mode-coupling theory and glass transition. The module aims to convey fundamental abilities in modeling and analyzing complex biological systems, using the methods of physics.
- WS
- 9ECTS