In order to participate in the project seminar, you must register for the examination within the deadlines listed below. Students who are not registered for the examination by the deadline will be excluded from the project seminar. We recommend that you register promptly if you are planning to take the project seminar.

Please note the following dates:

• Topics are published under the following link starting from the first week of April:
  Topics Project Courses
• Kick-off meeting on 13.10.2025 at 16:15:
  Presentation of the topics and organizational matters
  
  • Location: S3|10-406A
  • Alternatively, participation via Zoom is also possible: [to be clarified]
    
    • Meeting ID:
    • Passcode:

• until 19.10.2025:
  Specification of topic and group requests by students (you will be asked to do this separately after the kick-off meeting).
• 20.10.2025:
  Announcement of group allocation

Deadlines in TUCaN

• Registration deadline module/course: until 19.10.2025, 23:59
• Deregistration deadline module/course: until 24.10.2025, 23:59
• Regisration deadline exam: until 24.10.2025, 23:59
• Deregistration deadline exam: until 24.10.2025, 23:59

Further semester dates:

• Processing time: 3 months
• Submission of the final report: 10.02.2026
• Final presentations: [tba]

The aim of the project seminar is to apply the theoretical principles learned in the lectures “System Dynamics and Control Systems I”, “System Dynamics and Control Systems II” and advanced courses of the field in practical scenarios. This includes the creation of a system specification, the selection of suitable mechatronic solution concepts and their implementation. In addition, professional skills are to be developed and sharpened with aspects such as teamwork, presentation techniques and the systematic research of information.

The assignment will be worked on together in small groups of 2-4 students. Projects may include the following topics:

• Modeling, analysis and design of mechatronic systems.
• Design of control systems and state estimators
• System analysis, monitoring and fault diagnosis
• Model building and identification
• Integration of machine learning methods in the aforementioned areas

Exemplary applications are in the areas of intelligent autonomous systems, robotics and mobile robotics, drones and flight systems, communication systems, energy systems, medical technology, prosthetics, autonomous driving and production engineering, to name just a few areas.

A variety of the above systems are available at the department to work on in project seminars.

At the end of the project seminar, the group gives a 20-25 minute presentation. Furthermore, a written elaboration has to be handed over to the supervisor.