Physical modeling of living systems

The course presents and develops different methods of 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) come mainly from statistical physics, stochastic process theory 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.

• Learn theoretical and mathematical analysis methods (analytical and numerical) to model biological systems and living matter at several scales of space and time;
• Understanding 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.

Biological physics

Statistical physics

Modeling and Simulation in Physics

Recommended Prerequisites:

Condensed Matter Physics 1

Hydrodynamics

Surfaces, Interfaces, Colloids

Microscopies and spectroscopies for biology