DE
Block
Introduction to Bayesian Statistics for Analyzing Data [T-WIWI-110918]
Type
Examination of another typeCredits
4.5Recurrence
Each termVersion
2Responsible
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Module Data Science: Data-Driven Information Systems | Industrial Engineering and Management (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Economics Engineering (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Digital Economics (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Information Systems (M.Sc.)
- Module Data Science: Data-Driven Information Systems | Information Engineering and Management (M.Sc.)
Events
| Course Number | Name | SWS | Type |
|---|---|---|---|
| SS23 2500016 | Bayesian Statistics for Analyzing Data | lecture (V) | |
| WS23 2500025 | Bayesian Statistics for Analyzing Data | 2 | seminar (S) |
Exams
| Course Number | Name | Appointments |
|---|---|---|
| SS20 7900251 | Introduction to Bayesian Statistics for Analyzing Data |
Competence Certificate
Grades will be based on active participation (50%) and homework assignments (50%).
Prerequisites
Participants should already have a basic knowledge of R and standard frequentist statistical tests. Please bring your own Laptop with you as we will be using R for several hands-on examples and exercises during the class. We will mainly work with the book “Statistical Rethinking. A Bayesian Course with Examples in R and Stan” by Richard McElrath. Students are advised to obtain the book before the class starts.
Annotation
Due to its interactive nature, the number of participants will be limited.