Improve DIT168 and project course
- Code
- 37101424
- Start
- ?
- End
- 2015
- Budget-2015
- 200
- Status-Aug-2015
- 30%
- Status-Dec-2015
- 100%
- Financer
- Q/CTH
- Customer
- SEM
- Coordinator
- Christian Berger
- Summary
- Triple-S: Scaling Scaled Self-Driving Cars
[Copied from the application]
Scaled self-driving cars (1/10 scale) are the perfect learning equipment to teach a) software engineering for embedded systems, b) modeling and code generation, and c) cyber-physical systems and the underlying concepts in general. In the current DIT-168 course, a growing number of students (increased by 38% from the last year to approximately 90 students now) is participating that clearly challenges both, the pedagogical concept to ensure a sustainable learning perception for the students, as well as the general organization of such a course.
The proposed project "Triple-S: Scaling Scaled Self-Driving Cars" would like to improve the learning environment in the following aspects:
- Standardizing the hardware platform to ensure simplified replication for future students; a standardized platform also enabled new educational concepts where the students are collaboratively learn and develop solutions involving inter-system communication.
- Standardizing the accompanying instructions and documentation helps to familiarize the own students but also enables students from other programmes to collaborate with us in joint endeavors like the annual student competition CaroloCup.
- Supportive learning material especially video-based lectures/MOOCs shall be explored and incorporated to support the pedagogical concept. Therefore, selected topics from the existing course material need to be adjusted and recorded with the appropriate MOOC environment. In addition, possibilities for integrating a “virtual scaled self-driving cars” to safely run some experiments shall be evaluated.