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Complexity Economics

Level: advanced
Game theory is the standard quantitative tool for analyzing the interactions of multiple decision makers. Its applications extend to economics, biology, engineering and even cyber security.
Level: advanced
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.
Level: beginner
In a span of around 12 weeks, the course covers a wide range of topics including agent-based modeling, networks, dynamic, chaos, information, fractals, cooperation models and scaling in biology and society. The course acts as a perfect beginner level introduction spanning a wide range of topics in the field of complexity.
Level: beginner
Level: advanced
Level: beginner
This is a hands-on four chapter course to learn how to better understand and act when faced with complex situations. By the end of the course students will be able to take a story from the news, describe what makes the situation complex and identify opportunities for effective action or …

 

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This project is brought to you by the Network for Pluralist Economics (Netzwerk Plurale Ökonomik e.V.).  It is committed to diversity and independence and is dependent on donations from people like you. Regular or one-off donations would be greatly appreciated.

 

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