After successful completion of the course, students are able to apply the methods learned in the lecture (142.340) to simulated and real data sets and to analyze the results with repsect to their quality and significance.

Descriptive statistics; elementary introduction to probability; discrete and continuous random variables and their properties; estimation of unknown parameters from random samples; confidence intervals; statistical testing of hypotheses; introduction into Bayesian statistics; testing of hypotheses; linear models and regression.

Solution of problems on the blackboard and by programs. Python preferred, but not obligatory.

The exercises start on October 28, 2022 and end on January 20, 2023. Attendance of course 142.340 is required. 

Lecture + exercises are in German. However, given enough popular demand, one of the exercise groups may switch to English.

Lecture and the in-person exercises will be held in Erwin-Schrödinger Hörsaal of

the university of Vienna (Boltzmanngasse 5, 5. Stock, 1090 Wien)

More information and news will be published in TUWEL.

see information sheet

Registration via TISS, attendance of course 142.340 is required.

For literature and course material see 142.340

Mathematics of the first two semesters.