After successful completion of the course, students are able to apply methods from the areas of probabilistic graphical models and graph signal processing to practical engineering problems; this comprises the problem formulation, the analytical or numerical solution, and the qualitative and quantitative performance characterization.
Remote teaching in the form of a flipped classroom:
* lecture videos for all topics are available at TUPeerTube
* before class: students look into the relevant videos and course materials
* in class (i.e., zoom meeting): discussion of the material, further examples, Q&A