Inhalt
Bachelor's programme Statistics and Data Science (UK 033/551)
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| Overview |
ECTS Credits |
| Mathematics | 18,00 | | ........ VL Mathematics I | 5,00 | | ........ UE Mathematics I | 4,00 | | ........ VL Mathematics II | 5,00 | | ........ UE Mathematics II | 4,00 | | Probability Theory and Theoretical Statistics | 24,00 | | ........ Basic statistical concepts | 6,00 | | ................ UE Introduction to Descriptive Statistics | 3,00 | | ................ UE Introduction to Inferential Statistics | 3,00 | | ........ Probability theory and mathematical statistics | 18,00 | | ................ VL Probability Theory | 5,00 | | ................ UE Probability Theory | 4,00 | | ................ VL Statistical Inference | 5,00 | | ................ UE Statistical Inference | 4,00 | | Applied Statistics | 24,00 | | ........ Econometrics | 12,00 | | ................ KV Linear models | 4,00 | | ................ KV Generalized linear models | 4,00 | | ................ KV Time Series Analysis (Statistics) | 4,00 | | ........ Statistical methods | 12,00 | | ................ KV Survey Statistics | 4,00 | | ................ KV Nonparametric statistical methods | 4,00 | | ................ KV Multivariate Statistics | 4,00 | | Statistical Practice | 24,00 | | ........ Applied Statistics | 12,00 | | ................ KV Official Statistics | 4,00 | | ................ KV Economic Statistics | 4,00 | | ................ KV Demography | 4,00 | | ........ Data analytics | 12,00 | | ................ PR Data Analysis with Statistical Software | 4,00 | | ................ SE Methods for Statistical Projects | 4,00 | | ................ SE Statistical Projects | 4,00 | | Computer Science | 18,00 | | ........ Algorithms and Data Structures | 6,00 | | ................ VL Algorithms and Data Structures | 3,00 | | ................ UE Algorithms and Data Structures | 3,00 | | ........ Data Modeling | 6,00 | | ................ VL Data Modeling | 3,00 | | ................ UE Data Modeling | 3,00 | | ........ Introduction to Software Development | 6,00 | | ................ VL Introduction to Software Development | 3,00 | | ................ UE Introduction to Software Development | 3,00 | | Data Science | 24,00 | | ........ Data Mining | 6,00 | | ................ VL Data Mining | 3,00 | | ................ UE Data Mining | 3,00 | | ........ VL Introduction to AI | 3,00 | | ........ KV Explorative Data Analysis in R | 2,00 | | ........ PR Exploratory Data Analysis | 4,00 | | ........ PR Programming with Statistical Software | 5,00 | | ........ PR Data Management | 4,00 | | (*)Begleitende Inhalte | 17,00 | | ........ VL Lecture Series Artificial Intelligence | 1,50 | | ........ KV Programming in Python I | 6,00 | | ........ KV Responsible AI | 3,00 | | ........ KV Technology and Society | 3,00 | | ........ KV Ethics and Gender Studies | 3,00 | | ........ KV Techniques of Presentation and Team Work | 3,00 | | ........ VL Law for Computer Science | 3,00 | | ........ UE Data Analysis 2 | 6,00 | | ........ KS Introduction to Economics | 3,00 | | ........ KS Social Impacts of IT | 3,00 | | ........ KS Introduction to Business Administration | 2,00 | | ........ KS Communicative Skills English (B2) | 3,00 | | ........ KS Introduction to Society, Gender and Diversity in Information Technology | 3,00 | | Gender Studies | 3,00 | | ........ SE Gender Studies Methods II | 3,00 | | Free Courses | 16,00 | | Bachelor Thesis | 12,00 | | ........ SE Seminar in Statistics and Data Science | 12,00 | |
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