Mastering Complexity (Under Construction)
To understand the dynamics of complex systems it is not enough to understand their parts. It is important to understand the interactions and the new phenomena resulting from the interplay between the pieces. Such systems can be found everywhere in natural and social sciences or in technology. Examples are the climate system, interacting species, the dynamics of economic systems or the power grid to name just a few. The set of courses will provide the basic tools and concepts to model and quantitatively analyze complex systems and will enable the students to apply this knowledge to their specific scientific field or in an interdisciplinary context. The program will start during summer term 2018 and will consist of the following parts.
1. Introduction to nonlinear dynamics
2. Self-organization in complex systems
3. Complex networks
4. Baysian statistics -- from elementary particles to medicine