- mathematical problem formulation
- Phase space
- Concept of equilibrium, types of equilibria
- Attractors, strange attractors
- Concept of bifurcation
- Analysis of the system properties
- Conditions for the transition to chaotic systems
Continuous models of complex systems (M, 4.0 LP)
|Module Number||Module Name||CP (Effort)|
|INF-57-51-M-6||Continuous models of complex systems||4.0 CP (120 h)|
|CP, Effort||4.0 CP = 120 h|
|Position of the semester||1 Sem. in WiSe|
|Level|| Master (General)|
|Area of study||[INF-KI] Intelligent Systems|
|Reference course of study||[INF-88.79-SG] M.Sc. Computer Science|
|Type/SWS||Course Number||Title||Choice in |
|SL||SL is |
required for exa.
Continuous models of complex systems
|P||42 h||78 h||
Examination achievement PL1
- Form of examination: written exam (Klausur) (60-180 Min.)
- Examination Frequency: each winter semester
- Examination number: 65753 ("Continuous models of complex systems")
Competencies / intended learning achievements
Upon successful completion of the module, students will be able to
- to explain essential properties of complex phenomena (emergence, bifurcations, chaos) on the basis of a mathematical description of nonlinear dynamical systems
- to explain conditions for the transition to chaotic systems,
- model different concepts of complex systems,
- to analyze implemented concepts and system properties on concrete systems.
- Boccara, Nino: Modeling complex systems . Springer Science & Business Media, 2010.
- Gros, Claudius: Complex and Adaptive Dynamical Systems, 2009.