## 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 lecture notes are posted further down. You may also consult the corresponding textbookComplex and Adaptive Dynamical Systems, a Primer .
## RequirementsThis lecture course is suitable for all students enrolled in physics/neurosciences/informatics/biology coursesstarting from the third year. Basic knowledge of differential equations and probability theory is helpful.
## TutorsIf you have any questions just contact- Daniel Nevermann; Phys 01.141 click to show email
- Lutz Kiefer; Phys 02.111 click to show email
## Exercises- 0. Exercise (warmup)
- 1. Exercise
- 2. Exercise
- 3. Exercise
- 4. Exercise
- 5. Exercise
- 6. Exercise
- 7. Exercise
- 8. Exercise
- 9. Exercise
- 10. Exercise
- 11. Exercise
- 12. Exercise
## Lecture Notes |

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