DE

Block

Mathematics for High Dimensional Statistics [T-WIWI-111247]

Type

Oral examination

Credits

4.5

Recurrence

Irregular

Version

1

Responsible

Prof. Dr. Oliver Grothe

Organisation

KIT-Fakultät für Wirtschaftswissenschaften

Part of

Module Mathematical Programming | Industrial Engineering and Management (M.Sc.)
Module Stochastic Optimization | Industrial Engineering and Management (M.Sc.)
Module Analytics and Statistics | Industrial Engineering and Management (M.Sc.)
Module Mathematical Programming | Economics Engineering (M.Sc.)
Module Stochastic Optimization | Economics Engineering (M.Sc.)
Module Analytics and Statistics | Economics Engineering (M.Sc.)
Module Mathematical Programming | Digital Economics (M.Sc.)
Module Stochastic Optimization | Digital Economics (M.Sc.)
Module Statistics & Econometrics | Digital Economics (M.Sc.)
Module Analytics and Statistics | Digital Economics (M.Sc.)
Module Mathematical Programming | Information Systems (M.Sc.)
Module Stochastic Optimization | Information Systems (M.Sc.)
Module Analytics and Statistics | Information Systems (M.Sc.)
Module Mathematical Programming | Information Engineering and Management (M.Sc.)
Module Stochastic Optimization | Information Engineering and Management (M.Sc.)
Module Analytics and Statistics | Information Engineering and Management (M.Sc.)
Module Mathematical Programming | Economathematics (M.Sc.)
Module Stochastic Optimization | Economathematics (M.Sc.)
Module Analytics and Statistics | Economathematics (M.Sc.)

Events

Course Number	Name	SWS	Type
SS21 2550562	Mathematische Grundlagen hochdimensionaler Statistik	2	lecture (V)
SS23 2550562	Mathematische Grundlagen hochdimensionaler Statistik	2	lecture (V)
SS23 2550563	Übung zu Mathematische Grundlagen hochdimensionaler Statistik	2	exercise (Ü)
SS21 2550563	Übung zu Mathematische Grundlagen hochdimensionaler Statistik	2	exercise (Ü)

Exams

Course Number	Name	Appointments
SS21 7900362	Mathematics for High Dimensional Statistics
SS21 7900362	Mathematics for High Dimensional Statistics

Competence Certificate

The assessment consists of an oral exam (approx. 30 min.) taking place in the recess period.

Prerequisites

None

Recommendation

Basic knowledge of mathematics and statistics is assumed.
Knowledge in multivariate statistics is an advantage, but not necessary for the course.