20% essay
30% midterm
20% presentations
30% final

There is no mandatory prerequisite for this class.

The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%

In order to pass the course successfully, you will need to reach a minimum of 30% on each of the four assessments (midterm, essay, presentation, final).

Ethical issues raised by AI and data science
Societal challenges
Legal Basics
Data protection and intellectual property law
Current legal developments
DH tools for legal issues in practice
DH research infrastructures
Open Science
Legal issues with source material
Legal issues with research data