The course presents and develops different methods for modeling biological systems: from the physics of the individual molecule to the physical study of systems and populations of objects (e.g. proteins) or organisms (bacteria). These methods (analytical, but also numerical) are mainly derived from statistical physics, the theory of stochastic processes and non-linear physics. Examples of studies are also proposed on the basis of the teachings of the other modules in M1 and M2 to contextualize the different examples to physical theory and quantitative experimentation on living matter.

Objectives*:
    - Learn theoretical and mathematical analysis methods (analytical and numerical) to model biological systems and living matter at several space and time scales;
    - Understand the complexity of biological systems with the tools of theoretical physics, including statistical physics, stochastic process theory and non-linear physics;
    - Mathematically and physically model a complex system;
    - Learn the methodology of modeling non-conventional physical systems.

Hourly volume*:
    CM: 18h
    TD: 18h