Introduction and Theoretical Background

Synergetic approach to self-organizing systems
Discrete versus continuous representation of dynamical systems
Mathematical background
Physical background
Classical and quantum Hamiltonian systems
Dissipative systems
Ergodic theory
Open systems
Information dynamics
Fractal structures - geometry of chaos
Quantum aspects of classsical chaotic systems (quantum chaos)
Qualitative and quantitative analysis of time series
Modelling and simulation of system dynamics
Qualitative modelling - problems and perspectives

Scientific Disciplines
Physics and Mathematics

Classical Hamiltonian nonlinear dynamics
Chaos in celestial mechanics and stellar dynamics
Chaos in the Solar System dynamics
Dynamics of dissipative systems
Fluid dynamics: Theory of turbulence
Cellular automata
Quantum physics: Quantum chaos
Atomic and molecular physics
Semiclassical mechanics
Periodic orbit theory (Gutzwiller approach)
Random matrix theories
Mesoscopic systems (microstructures, quantum dots)
Microwave cavities and wave chaos

Engineering

Structural and dynamical stability
Control of chaos in mechanical systems
Electrical circuits
Neural networks and neural computers
Chemical reactions
Mesoscopic solid state systems

Biophysics and Physiology

EEG
Brain functioning
ECG
Blood flow (revealing oscillators)
Modelling of complex biological and physiological systems
Turing structures
Pattern formation

Economy

Evolutionary economics, macroeconomic cycles
Stock market dynamics
Financial systems
Sociological aspects of economical structures and developments