142.351 Statistical Methods of Data Analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, UE, 2.0h, 3.0EC, to be held in blocked form


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: UE Exercise
  • Format: Hybrid

Learning outcomes

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.




Subject of course

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.




Teaching methods

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




Mode of examination


Additional information

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.






Course dates

Tue14:00 - 15:0004.10.2022 Virtuell via zoom https://oeaw-ac-at.zoom.us/my/walten?pwd=STUzalYySTJYWlh4MzZlUmFwcG1mZz09 (LIVE)Vorbesprechung
Course is held blocked

Examination modalities

see information sheet




Course registration

Begin End Deregistration end
05.09.2022 16:00 03.10.2022 23:59 05.10.2022 13:00

Registration modalities

Registration via TISS, attendance of course 142.340 is required.



For literature and course material see 142.340

Previous knowledge

Mathematics of the first two semesters.




Accompanying courses


  • Attendance Required!