This course studies dynamical models used in biology and introduces the nonlinear dynamics tools necessary for their analysis.

The first part reviews basic nonlinear dynamics concepts with illustrations on biological models like population growth and logistic models. The second part focuses on biochemical reactions and genetic regulation while the third part reviews and analyzes basic neuronal models. The last part of the course introduces specific nonlinear systems concepts (such as passivity, monotonicity, cooperativity) for the quantitative study of biological networked systems (such as biochemical reaction networks and neuron populations).

Selected topics will be covered independently via small research projects or paper reading and presented in workshop style meetings.