Event
Fighting Climate Change, Seminar on Morals and Social Behavior (Master) [SS202560555]
Type
seminar (S)Term
SS 2020SWS
2Language
EnglischAppointments
2Lecturers
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Brick Seminar in Economics A (Master) | Industrial Engineering and Management (M.Sc.)
- Brick Seminar in Economics (Bachelor) | Industrial Engineering and Management (B.Sc.)
- Brick Seminar in Economics B (Master) | Industrial Engineering and Management (M.Sc.)
- Brick Seminar in Economics A (Master) | Economics Engineering (M.Sc.)
- Brick Seminar in Economics (Bachelor) | Economics Engineering (B.Sc.)
- Brick Seminar in Economics B (Master) | Economics Engineering (M.Sc.)
- Brick Seminar in Economics A (Master) | Information Systems (M.Sc.)
- Brick Seminar in Economics (Bachelor) | Information Systems (B.Sc.)
- Brick Seminar in Economics A (Master) | Information Engineering and Management (M.Sc.)
- Brick Seminar in Economics (Bachelor) | Information Engineering and Management (B.Sc.)
- Brick Seminar in Economics A (Master) | Economathematics (M.Sc.)
- Brick Seminar in Economics B (Master) | Economathematics (M.Sc.)
Appointments
- 22.04.2020 14:45 - 15:30 - Room: 05.20 1C-02
- 27.05.2020 13:00 - 19:00
Note
For Bachelor students of the fields Industrial Engineering and Management, Information Engineering and Management, Economics Engineering or Economathematics.
Objective: The student develops an own idea for an economic experiment in this research direction. Students work in groups. Changing topics each semester. For current topics, see http://polit.econ.kit.edu or https://portal.wiwi.kit.edu/Seminare
The acceptance of students for the seminar is based on preferences and suitability for the topics. This includes theoretical and practical experience with Behavioral Economics as well as English skills.
Seminar Papers of 8–10 pages are to be handed in.
Recommendation: Knowledge in the field of experimental economic research or behavioral economics as well as in the field of microeconomics and game theory may be helpful.