Teaching
As part of the AA DDE our chairs offer modules which are characterized by particularly intensive analysis of data driven developments on several levels.
Chair | Modul | Badge | Taught in English? |
---|---|---|---|
Bertschek | Ökonomie der Digitalisierung (MSc.) | Yes | |
Pfeiffer | Data Science for Consumer Behavior (MSc.) | Yes | |
Yes | |||
Operations Management (BSc.) | No | ||
Data Science mit Python für Wirtschaftswissenschaftler (BSc.) | No | ||
Pröllochs | Data Science for Management (BSc.) | No | |
Text Mining (MSc.) | Yes | ||
Schleer van-Gellecom | Predict the Future by Creating it: (Gen) AI and the Art of Data for Transforming Business Decisions (MSc.) | Yes (optional) | |
Business Forecasting & Business Analytics in Practice (BSc.) | Yes (optional) | ||
Stockburger | Introduction to Data Economy (BSc.) | No | |
Cause and Effect: Topics in Empirical Economics of Education, Labor and Health (MSc.) | Yes | ||
Winker | Yes (optional) |
(as from 16.04.2020)
Badges are assigned as follows:
Badge | Criteria |
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Modules are admitted and get a basic badge only if at least 50% of the modules content focuses on the analysis of in the context of digitization generated data used to discuss economic and social issues. |
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