Inhalt

Bachelor's programme Statistics and Data Science (UK 033/551)

Versionsauswahl
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Overview ECTS Credits
Mathematics18,00
........ VL Mathematics I5,00
........ UE Mathematics I4,00
........ VL Mathematics II5,00
........ UE Mathematics II4,00
Probability Theory and Theoretical Statistics24,00
........ Basic statistical concepts6,00
................ UE Introduction to Descriptive Statistics3,00
................ UE Introduction to Inferential Statistics3,00
........ Probability theory and mathematical statistics18,00
................ VL Probability Theory5,00
................ UE Probability Theory4,00
................ VL Statistical Inference5,00
................ UE Statistical Inference4,00
Applied Statistics24,00
........ Econometrics12,00
................ KV Linear models4,00
................ KV Generalized linear models4,00
................ KV Time Series Analysis (Statistics)4,00
........ Statistical methods12,00
................ KV Survey Statistics4,00
................ KV Nonparametric statistical methods4,00
................ KV Multivariate Statistics4,00
Statistical Practice24,00
........ Applied Statistics12,00
................ KV Official Statistics4,00
................ KV Economic Statistics4,00
................ KV Demography4,00
........ Data analytics12,00
................ SE Methods for Statistical Projects4,00
................ SE Statistical Projects4,00
................ PR Data Analysis with Statistical Software4,00
Computer Science18,00
........ Algorithms and Data Structures6,00
................ VL Algorithms and Data Structures3,00
................ UE Algorithms and Data Structures3,00
........ Data Modeling6,00
................ VL Data Modeling3,00
................ UE Data Modeling3,00
........ Introduction to Software Development6,00
................ VL Introduction to Software Development3,00
................ UE Introduction to Software Development3,00
Data Science24,00
........ Data Mining6,00
................ VL Data Mining3,00
................ UE Data Mining3,00
........ VL Introduction to AI3,00
........ KV Explorative Data Analysis in R2,00
........ PR Exploratory Data Analysis4,00
........ PR Programming with Statistical Software5,00
........ PR Data Management4,00
(*)Begleitende Inhalte17,00
........ KV Lecture Series Artificial Intelligence1,50
........ UE Programming in Python I3,00
........ VL Programming in Python I3,00
........ KV Responsible AI3,00
........ KV Technology and Society3,00
........ KS Business Administration Basics ((*))
........ KV Ethics and Gender Studies3,00
........ KV Techniques of Presentation and Team Work3,00
........ VL Law for Computer Science3,00
........ UE Data Analysis 26,00
........ KS Introduction to Economics ((*))
........ KS Social Impacts of IT3,00
........ KS Communicative Skills English (B2) ((*))
........ KS Introduction to Society, Gender and Diversity in Information Technology3,00
Gender Studies3,00
........ SE Gender Studies Methods II3,00
Free Courses16,00
Bachelor Thesis12,00
........ SE Seminar in Statistics and Data Science12,00