Im Kurs lernen die Teilnehmer*innen wie man agentenbasierte Modelle in der Programmiersprache Python entwickelt.

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.

This course teaches basic concepts relevant in political economy. Topics include the contractual nature of the state, public versus private goods, property rights and economic externalities, the logic of collective action and social choice theory. It also refers to the fundamentals of political philosophy, bringing two ideas of liberty into the picture. The relevance and limitations of the economic approach to the study of law and politics are then discussed.