If you are interested in data analysis, visit the seminar matching tool and select a high weight for this seminar.
Seminar Data Analysis (Master)
Each topic in this seminar consists of a technique out of https://causalml-book.org, mainly out of chapters 9, 10 and 15, which should be presented and applied to relatively simple example. These chapters apply modern machine learning tools to prediction and causal estimation and also bridge the gap to LLMs by using unstructured information (text and pictures) for standard causal and prediction problems.
The Seminar requirements consist of a paper, a presentation, and active participation in class discussion. The presentations will be blocked in June/July. I am flexible regarding timing and will decide together with the participants when the presentations will take place.
Applications and Registration
Applications for seminars is organized via web-based central seminar matching. Please sign in with your university mail account on following website:
http://econ.mathematik.uni-ulm.de:3838/semapps/stud_de/
Relevant deadlines for application are displayed within the tool. If you urgently require a place in a seminar it is recommended to sign in in several lists. According to the timeline you will receive feedback which seminar you are registered for.
We have seminar places for up to 15 master students.
The application concerns the seminar in general, there is no application for specific seminar topics possible! After you are registered for the seminar, topics will be allocated taking into account student’s preference. You will be informed about this and all further steps in more detail via e-mail after you are registered for the seminar.
Requirements
Ths seminar requires a basic understanding of prediction and machine learning methods (cross-validation, LASSO, random forests) and/or methods of causal inference (treatment effects, diff-in-diff sn instrumetal variable estimation) on the level that is acquired e.g. in the classes Data Analysis (Gebhardt) or Market Analysis with Econometrics and Machine Learning (Kranz).
Further Information
For writing the seminar paper please follow the guidlines Richtlinien (Prof. Gebhardt). If you are interested in writing your seminar paper with LaTex, you may find a short introduction here.
The Seminar requirements consist of a paper, a presentation, and active participation in class discussion. The presentations will be blocked in June/July. I am flexible regarding timing and will decide together with the participants when the presentations will take place.
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- Target Group
Master
- Turnus
summer term
- Timeline
details folow after registration via moodle
- Lecturer
- Links
Moodle-Kurs
Modulbeschreibung (Master)