Courses offered in English Language
| Course name | Computational Economics II | |
| Lecturer, Professorship | Prof. Dr. Torsten Heinrich, Anja Janischewski M. Sc., Chair of Microeconomics |
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| Term | Winter | |
| Course level | Undergraduate (Bachelor) and Graduate (Master) |
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| CP (ECTS) | 5 | |
| Course description | Building on the course Computational Economics I, this course covers a selection advanced methods of computational economics and their application to cases in economics, but also finance, business or other social sciences. This includes in particular, agent-based modeling, natural-language processing, data cleaning, general statistics, as well as some additional techniques of machine learning and visualization. Conceptual and practical problems such as limits to computation time, the curse of dimensionality, non-reproduibility, incomplete data and data availability issues will also be discussed and applied in the context of examples from economics. As such, the course provides a deep dive into a field that is rapidly becoming one of the crucial methods on which research in applied economics builds.The course uses the programming language Python. Students will be required to work with programming and perform data analysis on new data sets, applying methods discussed in the course. | |
| Further information on the course | The course has lecture and excercise classes. It is necassary to visit both! |
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| Sign-up procedure | You will find more information as well as the link for the registration on OPAL. |
