Knowledge
At the end of the course the student will have knowledge about different types of discrete models, the mathematical relationships between them, and basic statistical properties of the models. The student will have the knowledge to
* explain the asymptotic test theory for models for contingency tables,
* explain the logistic regression model, in the fundamental version for binary responses, as well as in the modifications for response variables with several possible outcomes
* explain the theory for stratified survey sampling and multistage survey sampling
* explain fundamental concepts within the theory of graphical models

Skills
The student will acquire the skills to apply discrete models to real data, decide on which model to use and which analysis to perform. The student will have the skills to utilize theoretical results in the practical analysis, including how complex models can be specified by use of several covariates.

Competencies
At the end of the course the students will have the competence to
* carry out the analysis of 2-way and, more generally, k-way contingency tables, theoretically as well as in practice.
* carry out practical analysis of simple graphical models.
* conduct the practical analysis of complex regression models with response variables with a small number of possible outcomes.
* carry out practical survey analysis in simple situations.