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CS 461 — Internship Statistics
(dt. Praktikum zur Statistik)

Level, degree of commitment Practical module, required module
Forms of teaching and learning,
Internship (2 SWS),
90 hours (30 h attendance, 60 h private study)
Credit points,
formal requirements
3 CP
Course requirement(s): Attendance is compulsory
Examination type: internship report
The module is ungraded in accordance with the examination regulations for the degree program B.Sc. Computer Science.
One semester,
In the summer semester / as a block course during the lecture-free period in spring
Person in charge of the module's outline Prof. Dr. Dominik Heider


The practical course is based on the statistics software ''R''. First, the functionalities of ''R'' are introduced. Subsequently, the theory is briefly introduced to the topics listed below. The methods introduced are investigated with ''R'' on the basis of simulations and applied to data sets.

Topics (only a selection is covered)

  • Basics in dealing with R
  • Random variables and their simulation
  • descriptive statistics and graphics
  • Point and interval estimation
  • Statistical hypothesis tests
  • Analysis of multivariate data
  • Linear Regression
  • Covariance and variance analysis
  • Generalized linear models

Qualification Goals


  • are able to use the statistical software R,
  • can investigate statistical procedures using appropriate simulations,
  • can apply appropriate statistical procedures to given data sets and problems,
  • can write up results in an appropriate manner,
  • can solve tasks in an organized manner using teamwork.


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


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 Practical Modules.

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.