Syllabus of the course

• Evolutionary dynamics
• Norms, learning and evolution of preferences
• Stochastic stability
• Social networks and cooperation
• Network games

Topics considered prerequisite for the course

A working knowledge of some high-level programming language (e.g. Mathematica, MATLAB, Octave, R, etc.) will be useful for some assignments.

Course timetable and teaching load

From Monday to Thursday
9:00 - 12:00 main lecture
14:00-15:30 exercises with the teacher
15.30-17:00 individual exercises

Friday
9:00 - 12:00 main lecture
14:00-16:00 final exam

Please also look at Preliminary Syllabus for more details. Section Timetable with the final schedule will be updated in due time.