Principles of experimental design, one-way analysis of variance, contrasts and multiple comparisons, multi-factor designs and analysis of variance, complete block designs, Latin square designs, random effects and mixed effects models, split-plot designs, incomplete block designs, two-series factorials and fractional designs, power.

Principles of experimental design, one-way analysis of variance, contrasts and multiple comparisons, multi-factor designs and analysis of variance, complete block designs, Latin square designs.

Random effects and mixed effects models, split-plot designs, incomplete block designs, two-series factorials and fractional designs, power.

The course introduces applied statistical methods as used in current research in environmental sciences. Students learn to analyse data sets using the R software package, critically interpret results and assess the suitability of statistical methods for different questions.

Nonparametric tests, randomization tests, jackknife and bootstrap, as well as asymptotic properties of estimators.

Generation and structure of repeated measures. Planning and realization of corresponding studies. Within- and between-subjects factors. Common covariance structures. Statistical analyses: graphical methods, summary statistics approach, univariate and multivariate ANOVA, linear mixed effects models.

"Statistics Lab" is an Applied Statistics Workshop in Data Analysis. It provides a learning environment in a realistic setting.Students lead a regular consulting session at the Seminar für Statistik (SfS). After the session, the statistical data analysis is carried out and a written report and results are presented to the client. The project is also presented in the course's seminar.

Einführung in die Grundlagen der Statistik, Wahrscheinlichkeitstheorie und Modellierung von Unsicherheiten im Zusammenhang mit Entscheidungsfindungen im Ingenieurwesen. Die Schwerpunkte liegen im Erstellen wahrscheinlichkeitstheoretischer Modelle, im Testen von Hypothesen und in der Überprüfung der Modelle.

In the workshop each participant gives a short talk about a recent statistical problem encountered in their daily work.