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Modul
Analytics and Statistics [M-WIWI-101637]
Credits
9Recurrence
Jedes SemesterDuration
2 SemesterLanguage
GermanLevel
4Version
4Responsible
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.