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Building a Robot Judge: Data Science for Decision-Making (Course Project)
Last Updated: 2026-02-05 16:15:53
Abstract
Students investigate and implement the relevant machine learning tools for making legal predictions, including regression, classification, and deep neural networks models. This is the extra credit for a larger course project for the course.
Objective
In a semester paper, students (individually or in groups) will conceive and implement their own research project applying natural language tools to legal texts. Some programming experience in Python is required, and some experience with NLP is highly recommended.
Content
Students will investigate and implement the relevant machine learning tools for making legal predictions, including regression, classification, and deep neural networks models. We will use these predictions to better understand the operation of the legal system. In a semester project, student groups will conceive and implement a research design for examining this type of empirical research question.
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| independent project |
Building a Robot Judge: Data Science for Decision-Making (Course Project)
Does not take place this semester.
Same dates and room as for the lecture course 851-0760-00 V Building a Robot Judge: Data Science for Decision-Making.
Wird ab HS23 ersetzt durch 851-0763-00L Supervised Research.
|
No time listed | 28 h semesterly |
Offered In
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Doctorate Humanities, Social and Political Sciences (More Information at: )
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