Students acquire the ability to analyze complex technical systems holistically and develop them systematically. They learn to apply model-based methods to design system architectures and to collect, structure, and implement requirements. In addition, they master basic methods of verification and validation to ensure the quality of systems. Students develop skills for interdisciplinary collaboration and cross-disciplinary communication. In addition, they expand their project management skills, particularly with regard to coordinating and controlling technical development processes and gain a basic understanding for using data management and AI in engineering.

Folgende Themen werden behandelt:

• Transformation of engineering
• Innovation management
• Development processes in industry
• MBSE
• DevOps
• Agility
• Verification and validation
• Artificial intelligence and GenAI in engineering
• Data management and interfaces