In this course you'll learn about the tools used by scientists to understand complex systems. The topics you'll learn about include dynamics, chaos, fractals, information theory, self-organization, agent-based modeling, and networks. You’ll also get a sense of how these topics fit together to help explain how complexity arises and evolves in nature, society, and technology. There are no prerequisites. You don't need a science or math background to take this introductory course; it simply requires an interest in the field and the willingness to participate in a hands-on approach to the subject.

Dates:

- 29 September 2013, 14 weeks

Included in selections:

Complexity

Complexity theory and Modeling

Complexity theory and Modeling

Network Science

Networks, graphs etc.

Networks, graphs etc.

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