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To practice the lecture material, the lecture notes (see Materials) contain problems after each lecture, together with suggested solutions.

Moreover, we will have irregular tutorials (something like a mini-"werkcollege"), where we discuss further exercises. You can download the sheets for the tutorials here:

Tutorial 1: Bayesian network basics, d-separation.

Tutorial 2: Inference, Structural Equation Models

Tutorial 3a: Markov Equivalence and Structure Learning

Tutorial 3b: Causality