Number of participants limited to 76. Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.
Abstract
Causality is dealing with fundamental questions about cause and effect. The student seminar covers statistical and mathematical aspects of causality ranging from fundamental formalization of concepts to practical algorithms and methods.
Learning objective
The participants of the seminar acquire knowledge about: concepts and formalization of statistical causality; methods, algorithms and corresponding assumptions for inferring causal relations from data; causal analysis in practice based on real data.