Generalized linear models are a class of models for the analysis of multivariate datasets. This class subsumes linear models for quantitative response, binomial models for binary response, loglinear models for categorical data, Poisson models for count data. Models are presented and practised from a problem-oriented perspective.

Social Network Science is a distinct domain of data science that focuses on relational systems. Various models have been proposed to describe structures and dynamics of networks, including statistical and mathematical methods. In this course, the emphasis is placed on the statistical analysis of (social) systems and their connection to social theories and data sources.