Content:
This course offers an introduction to the essential concepts of complex systems and related mathematical methods and simulation strategies with application to physical, biological and social systems. This is a one semester course that is taught in a one week format. There are lectures and discussion during the day, and in the evenings participants work on group projects that they present at the end of the week. Arrangements for credit at a home institution should be made in advance by contacting programs@necsi.org. Concepts to be discussed include: emergence, complexity, networks, self-organization, pattern formation, evolution, adaptation, fractals, chaos, cooperation, competition, attractors, interdependence, scaling, dynamic response, information and function. Methods to be discussed include: statistical methods, cellular automata, agent-based modeling, pattern recognition, system representation and informatics.

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