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German original

Internship Stochastics
(dt. Praktikum zur Stochastik)

Level, degree of commitment in original study programme Practical module, compulsory elective module
Forms of teaching and learning,
Internship (4 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements
6 CP
Course requirement: None, but attendance is compulsory.
Examination type: The examination consists of eight to ten individual tests, two oral presentations with a written assignment.
Das Modul ist unbenotet gemäß der Prüfungsordnung für den Studiengang B.Sc. Business Mathematics.
Original study programme B.Sc. Wirtschaftsmathematik / Vertiefungsbereich
One semester,
Jeweils im Sommersemester / als Blockveranstaltung in der vorlesungsfreien Zeit im Frühjahr
Person in charge of the module's outline Prof. Dr. Markus Bibinger, Prof. Dr. Hajo Holzmann


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

The students shall

  • learn how to use the statistics software R,
  • be able to investigate statistical methods by means of suitable simulations,
  • be able to apply appropriate statistical methods to given data sets and problems,
  • to summarize the obtained results in an appropriate written report,
  • gain experience in teamwork and work organisation during the development of tasks.


None. The competences taught in the following modules are recommended: either Foundations of Mathematics and Linear Algebra I and Linear Algebra II or Basic Linear Algebra, either Analysis I and Analysis II or Basic Real Analysis, Elementary Stochastics.

Recommended Reading

  • Ugarte, M. D., Militino, A. F., Arnholt, A. T., „Probability and Statistics with R“, Chapman & Hall 2008.

Please note:

This page describes a module according to the latest valid module guide in Wintersemester 2022/23. 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.