12 weeks of lectures, 7 learning activities, 2 workshops, 3 supervision sessions
- Lectures by the teacher, guest talks, student presentations and ongoing discussions.
- Practical / analytical exercises that the groups work with during the exercise sessions and after.
- A series of methodological workshops designed to help students who lack a relevant background in data analytics
There will be ample opportunity to test and apply the presented theories and methods in the exercise sessions, where we will work with various small cases and current examples, publicly available data sources and manually collected data.
The examination consists of written work. The exam includes an individually written final paper on a chosen topic.