This course will explore how living systems make use of circuits and networks to process information from neuroscience to synthetic biology.

The goal of this course is to better understand how interfaces instabilities can affect morphogenesis. 

Statistical machine learning is a growing discipline at the intersection of computer science and applied mathematics (probability / statistics, optimization, etc.) and which increasingly plays an important role in many other scientific disciplines. 

The goal of this course is to introduce string theory. 

Statistical physics is witnessing a revolution : understanding the dynamics of a very large number of interactive degrees of freedom, which has been from the beginning the main aim of statistical physics, has become now a central problem in many fields such as physics, biology, computer science, just to cite a few.

This course will provide an introduction to quantum field theory.