Data Science and Artificial Intelligence

Project work

Project thesis, 12.00 ECTS


Course content

Students work in teams on complex content requirements from various specialist domains and thereby holistically model the process of generating information from large data stocks (Big Data) with the help of methods and models of artificial intelligence. The results of the projects serve decision makers in various industries to support strategic or tactical decisions. For this purpose, all contents of the study are needed, whereby additional know-how on the part of the students has to be worked out in self-study. The project work is accompanied by professional project management.

Learning outcomes

Students can explain and justify the scientific quality and relevance of a publication. They can plan and create a scientific publication as well as judge its theoretical and practical results. They are able to identify, define and evaluate scientific issues.

Recommended or required reading and other learning resources / tools

Books: Alan F. Chalmers, Wege der Wissenschaft: Einführung in die Wissenschaftstheorie, Springer, 2006. Martin Kornmeier, Wissenschaftlich schreiben leicht gemacht, UTB, 2009.
Journals: various articles

Mode of delivery

5 THW Project work

Prerequisites and co-requisites


Assessment methods and criteria

Continuous appraisal