Automotive Systems Engineering Project
Summary of the project
The Automotive Systems Engineering Project (4AT100) has been concentrating on enhancing the educational structure of a 10-credit course offered to Automotive Technology Master Program students. This course, conducted during the second semester, involves students working in teams to tackle real-world challenges from the automotive domain using the facilities of the Automotive Engineering Science (AES) laboratory. The course integrates core subjects including Vehicle Dynamics, Powertrains, Real-time Software Systems Engineering, and Automotive Human Factors. Currently, the course employs a Model-Driven System Engineering (MDSE) approach combined with TRIZ, SCRUM Agile project management, and MDSE tools.
The need for improvement has arisen due to the complexity of integrating these core courses and addressing complex real-world challenges. The course is already styled in Challenge-Based Learning (CBL), but it requires an updated structure to better align with TU/e Strategy 2030. The project has been aiming to develop a more comprehensive CBL experience by introducing new modules on topics such as autonomous vehicle sensors, functional safety, and Digital Twin technology, while also refining assessment procedures and integrating advanced tools. This revamped structure is expected to enhance the educational impact and address the complexity of automotive systems engineering projects.
Aim of the project
The aim of the Automotive Systems Engineering Project has been to reorganize and improve the 4AT100 course by updating its educational structure and incorporating an enhanced Challenge-Based Learning (CBL) framework. The project has been focused on developing new educational modules to cover essential topics such as autonomous driving, functional safety, and the creation of virtual environments. The objectives include integrating core courses more effectively, developing personalized study programs, and improving the use of tools and resources like IBM Rhapsody and Unity Game Engine.
The expected outcomes are to establish new learning goals, create a revised workflow and MDSE methodology aligned with CBL, and introduce a new assessment method. The project has also aimed to refine the integration of tools used in the course and provide a better evaluation form for the course. By achieving these objectives, the project has intended to prepare student teams for tackling more complex automotive challenges and improving the overall educational experience in the course.
Results and learnings
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