105.693 Einführung in die Statistik
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, UE, 1.5h, 2.0EC


  • Semester hours: 1.5
  • Credits: 2.0
  • Type: UE Exercise

Learning outcomes

After successful completion of the course, students are able to: explain clearly concepts from probability and statistics, evaluate various quantities for probability distributions and random variables, perform statistical computations. 

Subject of course

Classical point estimation (parametric and non-parametric methods), confidence estimation, statistical tests, linear models

Teaching methods

This course is an introductory statistics and probability theory course. Main concepts of the course will be presented in the lectures LV Nr. 105.692 and then will be practiced and deepened in the Exercise sessions LV Nr. 105.693. The focus is on methods and tools of descriptive and inferential statistics, core concepts of probability theory and implementation of the statistical analysis methods.

Mode of examination


Additional information


The exercise groups start in teaching week 2.

You are required to register for one of the exercise groups listed below. Exercises will only take place at the times indicated below (please ignore 'Group Dates' for now).



Examination modalities

Laufende Leistungskontrolle

Group dates

Gruppe 1Thu08:00 - 10:0012.03.2020 - 25.06.2020Sem.R. DA grün 03 A 105.693 Introduction to Mathematical Statistics Group 1
Gruppe 2Thu08:00 - 10:0012.03.2020 - 25.06.2020FH Hörsaal 3 105.693 Introduction to Mathematical Statistics Group 2
Gruppe 3Thu11:00 - 13:0012.03.2020 - 25.06.2020Sem.R. DA grün 05 105.693 Introduction to Mathematical Statistics Group 2

Course registration

Use Group Registration to register.

Group Registration

GroupRegistration FromTo
Gruppe 106.03.2020 08:0015.03.2020 23:59
Gruppe 206.03.2020 08:0015.03.2020 23:59
Gruppe 306.03.2020 08:0015.03.2020 23:59



No lecture notes are available.

Previous knowledge

The understanding of Linear Algebra and Calculus is required.