Case Studies

Qualification aims

For each of the modules of the Master's program, several case studies are available, allowing students to apply their acquired knowledge to practical, real-world problems within the framework of team projects, thereby deepening their understanding.

Students can

• apply theoretical knowledge to practical scenarios
• develop problem-solving skills
• foster collaborative learning

by

• engaging in group analyses of case studies
• understanding the technical or scientific problem
• identifying relevant previous work in the literature
• developing solution approaches
• evaluating the solution approaches
• selecting and implementing the best approach
• writing a report that describes the methods and the approach used
• presenting the work in a seminar

to

• enhance their analytical capabilites
• develop their abilities to solve a technical or scientific problem
• understand how concepts work in real-world contexts
• specialize in a sub-area of the Master’s programme
• be qualified for a professional career as automation engineer

Module Content

Case study categories:

• Infrastructure and Integration of Technical Systems (IITS)
• Modelling and Simulation of Technical Systems (MSTS)
• Optimization of Technical Systems (OTS)
• Industrial Communication and Information Security (ICIS)
• Smart Automation and Robotic (SAR)
• Data Science, Machine Learning and AI (DSML)

Case studies:

• 10 CP for each case study
• 3 case studies are necessary
• Case studies have to be processed in teams
• Each student has to select three case studies. Each case study has to be from a different category.