Modeling and Analysis Techniques in Systems Biology

This course provides an introduction to modeling and analysis techniques relevant to systems biology with a focus on the dynamics of biochemical networks. We shall introduce models such as ordinary differential equations, Petri nets, Markov chains and dynamic Bayesian networks and show how they can be used to describe and analyse metabolic, signaling and gene regulatory networks. Selfstudy, tool-based modeling assignments and guest lectures by biologists will also be key components of the course. The core lectures will be largely self-contained and students with diverse backgrounds are expected and welcome to attend.

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