Objectives and competences

Students acquire advanced knowledge on physics of complex systems.

Content (Syllabus outline)

Learning and teaching methods

They are based on: theoretical introduction and numerical solving of specific problems.

Intended learning outcomes - knowledge and understanding

Understanding and mathematical modelling of key mechanisms that dominate behavior of complex systems.

Intended learning outcomes - transferable/key skills and other attributes

Solving of problems with mathematical tools and gained global approach on solving a problem.

Readings

1. B. Mandelbrot, The Fractal Geometry of Nature, Freeman, San Francisco, 1982. 2. J.F.F. Mendes and N.S. Dorogovtsev, Evolution of Networks: From Biological Nets to the Internet and WWW, Oxford University Press, Oxford, 2003 3. J. M. Smith, Evolution and the Theory of Games, Cambridge Univ. Press, Cambridge, 1982. Dodatna literatura /Additional Readings: 1. P. Bak, How Nature Works: The Science of Self-Organized Criticality, Springer Verlag, 1996. 2. T. Vicsek, Fractal Growth Phenomena, World Scientific, Singapore, 1992. 3. Članki v Science, Nature, Scientific American

Prerequisits

None. Recommended: preknowledge of mechanics, electromagnetism, mathematical physics, modern physics, complex systems.