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This entry is from Winter semester 2020/21 and might be obsolete. You can find a current equivalent here.

Internship Stochastics
(dt. Praktikum zur Stochastik)

Level, degree of commitment Practical module, required module
Forms of teaching and learning,
workload		 Internship (4 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements		 6 CP
Course requirement(s): None, but attendance is compulsory.
Examination type: The examination consists of eight to ten individual tests, two oral presentations with a written assignment.
Language,
Grading		 German,
The module is ungraded in accordance with the examination regulations for the degree program B.Sc. Business Mathematics.
Duration,
frequency		 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. Markus Bibinger, Prof. Dr. Hajo Holzmann

Contents

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.

Prerequisites

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.


Applicability

Module imported from B.Sc. Business Mathematics.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Mathematics
  • B.Sc. Business Mathematics
  • M.Sc. Mathematics
  • M.Sc. Business Mathematics

When studying B.Sc. Data Science, this module must be completed in the study area Practical Modules.


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 Winter semester 2020/21. 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.