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This entry is from Winter semester 2016/17 and might be obsolete. You can find a current equivalent here.

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),
90 hours (30 h attendance, 60 h private study)
Credit points,
formal requirements
3 CP
Oral 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. Hajo Holzmann, Prof. Dr. Alfred Ultsch


  • Statistical ratios
  • Probability theory, probability measures and spaces
  • Random variables and their distributions
  • Important probability distributions
  • Expected value and variance, probabilistic ratios
  • Conditional probabilities and stochastic independence
  • Statistical tests

Qualification Goals

Students should

  • Acquire basic knowledge and skills in statistics, especially statistical ratios, distributions, distribution densities, hypotheses, and hypothesis testing,
  • recognize cross connections to computer science,
  • practice mathematical and especially statistical ways of thinking and working on concrete problems, also on technically motivated problems,
  • develop mathematical and statistical intuition and learn how to translate it into precise concepts and formal reasoning,
  • train the ability of abstraction,
  • > acquire all the necessary prerequisites for successful participation in the stochastics practical course,
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and in discussion.


Translation is missing. Here is the German original:

Keine. Empfohlen werden Grundkenntnisse in Grundlagen der Analysis und Grundlagen in der linearen Algebra.


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 Compulsory Modules in Mathematics.

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

Recommended Reading

  • Teschl, G.; Teschl, S.: Mathematik für Informatiker, Band 2: Analysis und Statistik, Springer
  • Dümgen, L.: Stochastik für Informatiker, Springer.
  • Fahrmeir, Künstler, Pigeot, Tutz: Statistik: Der Weg zur Datenanalyse, Springer

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2016/17. 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.