## ContentComplex system theory deals with dynamical systems in a wide range of disciplines showing non-trivial and/or emergent properties.This course provides the relevant core knowledge. It is suitable for all students having a basic math education. Basic concepts and phenomena covered will include - network theory: small-world, scale-invariant, percolating
- bifurcation theory, adaptive systems, deterministic chaos, strange attractors, catastrophe theory
- information theory, Shannon entropy, mutual information, complexity
- cellular automata, self-organized criticality
- ...
## Lecture notes and text bookThe full (uncorrected) lecture notes on CADS are freely available (of the old, second edition). For the solutions of the exercises please consult the printed book on CADS.Since 2008 (second/third/fourth edition 2010/2013/2015) the entire course is available as a Springer textbook .
## RequirementsThis lecture course is suitable for all students enrolled in physics/neurosicences/informatics/biology coursesstarting from the third year. Basic knowledge of differential equations and probability theory is helpful.
## ExercisesIf you have any question just contact- Philip Trapp click to show email
- Hendrik Wernecke click to show email
- 13. Exercise
- 12. Exercise
- 11. Exercise
- 10. Exercise
- 9. Exercise
- 8. Exercise
- 7. Exercise
- 6. Exercise
- 5. Exercise
- 4. Exercise
- 3. Exercise
- 2. Exercise
- 1. Exercise
## Lecture Notes |

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