
Mathematical modelling is a key engineering competence. However, many textbook problems fall short of the complexity and ambiguity of the real-world. The Computational and Mathematical Modeling Program (CAMMP) is a cross-university project to foster skills in mathematical modelling, including model building, implementation and evaluation. During the CAMMP week Pro (CWP), Bachelor's and Master's students of different engineering disciplines and mathematics jointly work on real-world research problems from industry and academia. In this work, we present a case study of five iterations of the CWP. We outline the structure of the course and evaluate it based on qualitative analysis of student feedback and evaluation documents. We find that students sometimes struggle with the open nature of challenges, and that their study experience is strongly shaped by the supervision they experience. Furthermore, we derive practical recommendations regarding collaboration, supervision and students' perception of their roles both as group members and as aspiring engineers and scientists.
Problem-based Learning, Mathematical Modeling, Case Study, Project-based Learning
Problem-based Learning, Mathematical Modeling, Case Study, Project-based Learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
