Main content

CS 360 — Introduction to Statistics
(dt. Grundlagen der Statistik)

Level, degree of commitment Advanced module, required module
Forms of teaching and learning,
Lecture (2 SWS), recitation class (2 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements
6 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Oral examination (individual examination) or written examination
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
each winter semester
Person in charge of the module's outline Prof. Dr. Dominik Heider, Prof. Dr. Matthias Schott


  • Statistical key figures
  • Probability theory, probability measures and spaces
  • Random variables and their distributions
  • Important probability distributions, statistical tests

Qualification Goals

Students will

  • know the basics of statistics, in particular statistical ratios, distributions, distribution densities, hypotheses and hypothesis tests,
  • can recognize cross connections to computer science,
  • are able to apply mathematical and especially statistical ways of thinking and working to concrete problems, also to technically motivated problems,
  • have a mathematical and statistical intuition and are able to translate this into precise concepts and formal reasoning,
  • have a trained ability to abstract,
  • are able to participate in the statistics practical course,
  • are able to discuss statistical content in a structured manner in a group.


None. The competences taught in the following modules are recommended: Basic Linear Algebra, Basic Real Analysis.


The module can be attended at FB12 in study program(s)

  • B.Sc. Computer Science
  • B.Sc. Business Informatics

When studying B.Sc. Computer Science, this module must be completed in the study area Basic and Continuing Modules in Mathematics.

The module can also be used in other study programs (export module).

Recommended Reading

  • Will be announced in the course.

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.