Course development

The next course offering will further refine the written examination by reviewing question design and reducing potential overlap between questions. Lecture material will be updated to improve readability and include additional explanatory examples where appropriate. Greater emphasis will also be placed on the responsible use of Generative AI in project work, encouraging students to critically evaluate and build upon AI-generated content rather than relying on it directly. The possibility of introducing additional practical laboratory activities or oral project follow-up sessions will also be explored.

Introduce preparatory mini-lectures before flipped sessions for concept reinforcement. Replace or significantly revise the guest lecture; explore a site visit or practitioner panel instead. Facilitate better group formation in the first week, including proactive support for non-programme students. Consider rebalancing cold-calling techniques to maintain engagement without discomfort. Introduce project group contracts and peer evaluations. Refine teaching material, structure and examples, to correct minor inaccuracies due to first iteration of new material. Swap one product (toaster), as it is not well suited for the project. Consider updating discussion prompts on Canvas as they were seldom used.