virtual technologies in engineering






Learning Outcome

  • Engineering Methods
  • Potentials of Virtual Technologies in Engineering
  • Project Management
  • Software Specification and Programming (in Unity)
  • Presentation and Team Work


Preferable Experience

  •  Unity Programming
  • Basic Knowledge of VR and AR
  • Engineering Methods and Tools

Artificial Intelligence for Systems Engineering


In the scope of this project group, we will develop AI-based assistance systems to support engineers during the design and development of technical systems. To this end, we will analyze the product creation process with a focus on (Model-based) Systems Engineering, identify potentials for the utilization of Artificial Intelligence and develop prototypes for the most promising ideas. This project group will be based on the results of the prior project group AI4SE (no. 1) and be conducted in close collaboration with the research project AI marketplace. Examples for AI-based assistant systems are:

The touch-based editor is able to understand hand-drawn system models and translate them into formal models, which, for example, are used for as input for system analyses.


The MBSE (Model-based Systems Engineering) Knowledge Graph builds up a knowledge graph from given MBSE models and uses this graph to provide suggestions for the creation of
new system models.

The virtual Systems Engineering expert is a chat-bot tailored towards Systems Engineering. It provides expert knowledge to the engineers and can handle engineering-specific requests.


See introduction slides (PDF[RB1] )




digital tools for strategic planning (doorstep)


Within strategic product planning, there are several main tasks, such as determination of potentials, product discovering or business planning. Behind these tasks, in turn, are various subtasks, such as foresight and generation planning. The project DizRuPt can be located there. Here an instrument for the data-driven product planning is developed, which e.g. includes methods for hypothesis, data inventory and data analysis. But further-reaching topics such as the identification of trends and technologies or business forecasts in the context of foresight and business planning are conceivable. The aim of the project group is to identify and specify potential tools that support these tasks. Subsequently, a promising concept should be implemented. Assistants, documentation tools, games etc. are conceivable. In addition to an appealing UI, e. g. AI, Data Mining techniques and mobile technologies could be used.

Learning Outcome

  • Methods of (data-driven) Product Planning
  • Project Management
  • Software Specification and Programming
  • Presentation and Team Work


We meet every Wednesday from 3 p.m. till 5 p.m. (MS Teams).


Development of an autonomous and modular electric Racecar

  • 10 - 16 Teilnehmer*innen