Content of the module:
- Work in a cross-university team in competition with other teams.
- Work on case studies along selected steps of a circular economy.
- Independent technical implementation of machine learning applications to solve business problems.
- Consideration and analysis of the technical, economic, environmental, and social implications of your work.
Qualification aims for the module learning objectives/skills:
- Know and understand how to use and evaluate different machine learning approaches to solve business decision problems.
- Apply techno-economic skills.
- Structure business decision situations and analyze available data.
- Evaluate data using machine learning to make informed business decisions in the context of sustainability.
- Technically implement machine learning applications and evaluate (potential) economic, environmental, and social impacts.
- Practice team and project management skills and presentation techniques.
The course is held in English.
- Dozent/in: Björn Häckel