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This entry is from Summer semester 2018 and might be obsolete. No current equivalent could be found.
Asymptotical Statistics
(dt. Asymptotische Statistik)
Level, degree of commitment | Specialization module, compulsory elective module |
Forms of teaching and learning, workload |
Lecture (2 SWS), 90 hours (30 h attendance, 60 h private study) |
Credit points, formal requirements |
3 CP 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 M.Sc. Business Mathematics. |
Duration, frequency |
One semester, Regularly alternating with other specialization modules |
Person in charge of the module's outline | Prof. Dr. Markus Bibinger, Prof. Dr. Hajo Holzmann |
Contents
Depending on the specific lecture
The focus lies on the intensive investigation of an area of asymptotic statistics (empirical processes, convergence of probability measures, U-statistics) and the learning of the associated techniques. Cross-connections to other areas of asymptotic statistics shall be shown.
Qualification Goals
The students shall
- get an insight into a current research area of asymptotic statistics,
- acquire the basic techniques within the subfield of asymptotic statistics
- practice mathematical methods (development of mathematical intuition and its formal justification, training of the ability to abstract, proof methods),
Prerequisites
Translation is missing. Here is the German original:
Keine. Empfohlen werden die Kompetenzen, die in den Basismodulen und im Vertiefungsmodul Wahrscheinlichkeitstheorie vermittelt werden.
Applicability
Module imported from M.Sc. Business Mathematics.
It can be attended at FB12 in study program(s)
- B.Sc. Mathematics
- B.Sc. Business Mathematics
- M.Sc. Data Science
- M.Sc. Computer Science
- M.Sc. Mathematics
- M.Sc. Business Mathematics
When studying M.Sc. Computer Science, this module can be attended in the study area Minor subject Mathematics.
Recommended Reading
- Depending on the course.
Please note:
This page describes a module according to the latest valid module guide in Summer semester 2018. 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.