030034 KU Legal Data Lab (2022S)
Continuous assessment of course work
Labels
MIXED
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 07.02.2022 00:01 to Mo 21.02.2022 23:59
- Deregistration possible until Mo 14.03.2022 23:59
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Workshop: 02.06.2022 und 03.06.2022, jeweils 09:00 - 18:00 Uhr (Schenkenstraße 4, 2. Stock, Besprechungsraum 02.39)
- Thursday 10.03. 10:00 - 11:00 Digital (Kickoff Class)
Information
Aims, contents and method of the course
Assessment and permitted materials
Preparation of asynchronous content, group project, presentation, active participation in class.
Minimum requirements and assessment criteria
Basic programming knowledge (python) is recommended, but not required. Student's are expected to catch up on programming skills as part of the asynchronous learning phase.
Examination topics
Group project.
Reading list
Will be provided on Moodle.
Association in the course directory
Last modified: Th 11.05.2023 11:26
In a first (asynchronous) phase, Students will learn theoretical skills such as acquiring data, extracting information, handling and analysis of data.
This knowledge will then be applied through practical group projects that are created in a two day in-person workshop.