Seminar Experimental Economics

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Course Description

The seminar is organized by Prof. Rincke and Assistants. The seminar places a special focus on machine learning methods. Students familiarize themselves with machine learning methods in economic applications. Three blocked sessions (three hours each) will cover relevant machine learning topics for economists. In the second part of the semester, students will work on their own data projects in small groups (two to three students). The groups hand in a project report (similar to a seminar thesis) and present their projects in seminar sessions towards the end of the semester.

The module grade consists of three parts. The overall grade will reflect the quality of the project report (50%), the presentation in the seminar (30%), and the student’s contributions to the discussion following each of the presentations (20%). To pass the seminar, students must obtain at least a passing grade in each of the parts. Teaching and examination language is English. A timetable and further course material will be provided via StudOn. To express your interest, please send a transcript of records and a short paragraph describing your motivation to take the course to bianca.haustein@fau.de until October 1st.