Main content

This entry is from Winter semester 2020/21 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
Course requirement(s):
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 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

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, Probability Theory.


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 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.