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Teaching

As part of the DDE accent area, there are a number of modules characterized by engagement with data-driven developments at various levels. These different levels, and thus the varying depths of engagement with data-driven content, are marked by the use of different badges.

Badges are assigned as follows:

Badge Criteria
A significant part of the module content relates to the examination of economic and societal issues in the context of digitalization or data analysis.

  1. At least 50% of the modules content focuses on empirical modeling, statistical analysis or data mining

  2. The modules contents focuses on at least 2 or 3 stakeholders = individuals, companies, politics and society. Additionally, these contents have to cover at least 20% of the modules entire content.

 

Bachelor

  
Professur Modul  Badge Taught in English?
Haas

Marketingforschung

  
Pfeiffer

Operations Management

No
 

Data Science mit Python für Wirtschaftswissenschaftler

 No
Pröllochs Data Science for Management No
Schleer-van Gellecom Business Forecasting & Business Analytics in Practice Yes (optional)
Schwickert IT-Systeme No
  IT-Projektmanagement No
Stockburger Einführung in die Datenökonomie No
Winker

Angewandte Statistik in den Wirtschaftswissenschaften

  
 

Empirische Wirtschaftsforschung und Ökonometrie

  

Master

  
Professur

Modul

 Badge Taught in English?
Bertschek

Ökonomie der Digitalisierung

 Yes
 

Master-Seminar "Ökonomische Aspekte künstlicher Intelligenz"

  
Haas

Advanced Issues in Marketing and Sales

  
Overbeck

Quantitative Grundlagen der Künstlichen Intelligenz

  
Pfeiffer

Data Science for Consumer Behavior

 Yes
Pröllochs

Text Mining

 Yes
Schleer-van Gellecom Predict the Future by Creating it: (Gen) AI and the Art of Data for Transforming Business Decisions Yes (optional)
Schwickert Systems Engineering No
  Digital Business No
Stockburger Cause and Effect: Topics in Empirical Economics of Education, Labor and Health Yes
Winker Advanced Econometrics Yes
 

Seminar Text Mining

 Yes (optional)
 

Zeitreihenökonometrie und computergestützte Verfahren 

 No

(as from 28.09.2024)