Computational biology will introduce the biological concepts necessary to model complex systems, implement modelling approaches (differential, logical, stochastic or deterministic equations) to develop mathematical models of a biological system, analyze mathematical models and biological data to understand complex systems and assess the adequacy between a biological question.
The course is divided in 2 sections :
- computational neuroscience : dynamic models of neuron function : dynamic behavioural simulation, biological aspects, computer complexity, analytical aspects
- bioinformatics : alignment, molecular phylogeny, prediction and modelling of structural aspects of proteins, cis-regulation