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This entry is from Winter semester 2019/20 and might be obsolete. No current equivalent could be found.
Statistics
(dt. Statistik)
Level, degree of commitment | Advanced module, compulsory elective module |
Forms of teaching and learning, workload |
Lecture (3 SWS), recitation class (1 SWS), 180 hours (60 h attendance, 120 h private study) |
Credit points, formal requirements |
6 CP Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises. Examination type: Written or oral examination |
Language, Grading |
German,The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Mathematics. |
Duration, frequency |
One semester, Regularly alternating with other advanced modules |
Person in charge of the module's outline | Prof. Dr. Markus Bibinger, Prof. Dr. Hajo Holzmann |
Contents
Depending on the specific lecture
Selected topics of multivariate statistics will be discussed, with a different focus depending on the specific lecture. Possible topics include regression analysis, cluster analysis, principal component analysis (pca), multivariate density estimation, variable selection and discriminant analysis.
Qualification Goals
The students shall
- learn about important statistical methods and be able to analyse them mathematically,
- be able to apply the procedures to data,
- further develop their understanding of data analysis and statistics,
- improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.
Prerequisites
None. The competences taught in the following modules are recommended: Elementary Stochastics, Internship Stochastics.
Applicability
Module imported from B.Sc. Mathematics.
It can be attended at FB12 in study program(s)
- B.Sc. Data Science
- B.Sc. Computer Science
- B.Sc. Mathematics
- B.Sc. Business Mathematics
- M.Sc. Computer Science
- M.Sc. Mathematics
- M.Sc. Business Mathematics
- LAaG Mathematics
When studying B.Sc. Computer Science, this module can be attended in the study area Minor subject Mathematics.
Recommended Reading
- Izenman, A. J. (2008) Modern multivariate statistical techniques. Springer
- Weitere Literatur abhängig von der Veranstaltung
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2019/20. 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 (no corresponding element)
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.