Introduction to Causal Inference

Credit-bearing course

The courses is for professionals and part of the programme MAISTR ( where participants can study the entire programme or individual courses. The course is part of the course track machine learning and is held online in English.
This course contain the definition of cause and effect, Randomized Experiments, do-calculus and graphical models. The primary content of the course answers the following questions:
Why causal inference? How causal inference can improve decision making?
What would be the potential outcome given a certain decision?
How to represent different causal relations in terms of what causes what?
How can machine learning methods take advantage of causal inference concepts?