053620 VU Data Ethics and Legal Issues
Grading
Assessment and permitted materials
20% essay
30% midterm
20% presentations
30% final
Minimum requirements and assessment criteria
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).
Examination topics
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