DE

Modul

Analytics and Statistics [M-WIWI-101637]

Credits
9
Recurrence
Jedes Semester
Duration
2 Semester
Language
German
Level
4
Version
4

Responsible

Organisation

  • KIT-Fakultät für Wirtschaftswissenschaften

Part of

Bricks

Identifier Name LP
T-WIWI-111247 Mathematics for High Dimensional Statistics 4.5
T-WIWI-106341 Machine Learning 2 – Advanced Methods 4.5
T-WIWI-103124 Multivariate Statistical Methods 4.5
T-WIWI-103123 Advanced Statistics 4.5
T-WIWI-112109 Topics in Stochastic Optimization 4.5

Competence Certificate

The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module seperately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal

A Student

  • Deepens the knowledge of descriptive and inferential statistics.
  • Deals with simulation methods.
  • Learns basic and advanced methods of statistical analysis of multivariate and high-dimensional data.

Content

  • Deriving estimates and testing hypotheses
  • Stochastic processes
  • Multivariate statistics, copulas
  • Dependence measures
  • Dimension reduction
  • High-dimensional methods
  • Prediction

Workload

The total workload for this module is approximately 270 hours.