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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, compulsory elective 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. Mathematics, this module can be attended 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:
- Winter 2016/17
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
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.