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Event
Matching Theory [WS232500042]
Lecturers
Organisation
- Wirtschaftstheorie
Part of
- Brick Matching Theory | Industrial Engineering and Management (M.Sc.)
- Brick Matching Theory | Economics Engineering (M.Sc.)
- Brick Matching Theory | Digital Economics (M.Sc.)
- Brick Matching Theory | Information Systems (M.Sc.)
- Brick Matching Theory | Information Engineering and Management (M.Sc.)
- Brick Matching Theory | Economathematics (M.Sc.)
Appointments
- 25.10.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 08.11.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 15.11.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 22.11.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 29.11.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 06.12.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 13.12.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 20.12.2023 13:00 - 17:00 - Room: 11.40 Raum -115
- 10.01.2024 13:00 - 17:00 - Room: 11.40 Raum -115
- 17.01.2024 13:00 - 17:00 - Room: 11.40 Raum -115
- 24.01.2024 13:00 - 17:00 - Room: 11.40 Raum -115
- 31.01.2024 13:00 - 17:00 - Room: 11.40 Raum -115
- 07.02.2024 13:00 - 17:00 - Room: 11.40 Raum -115
- 14.02.2024 13:00 - 17:00 - Room: 11.40 Raum -115
Note
How should we organize recruitment of students to schools? Could we improve the placement of doctors to hospitals? Why there always seems to be a better roommate to the one you currently have? Matching Theory answers all these questions and more. During the course we will formally study mathematical systems of allocating goods and people, and see their many real life applications from organizing kidney exchange to improving dating apps. The course will cover three main topics in Matching Theory and Market Design: (1) assignment problems (e.g., allocation of social housing), (2) two-sided matching (e.g., allocation of children to schools), (3) transferable-utility matching (e.g., labor market).
The students are expected to:
- Understand the mathematical properties of allocations and commonly used mechanism
- Understand the connection between Matching Theory and real-life allocation systems
- Be able to use their knowledge to propose solutions for novel real-life problems