This course requires prior knowledge in optimisation and programming.
There will be an (online) intake in which the prior knowledge is one of the topics. In case of (partial) deficiencies solutions can be suggested to repair it
Prerequisites:
- Some background in linear algebra and linear optimisation.
- Some experience with Python and standards libraries like Numpy and Pandas
- Some familiarity with probabilistic models and statistics
Participants are expected to bring their own laptop to the course.
