Course development

Analysis The course is viewed as relevant and engaging, with particularly strong results regarding inclusion, respect, and student participation. This indicates a well-functioning classroom environment and motivated students. The course will next year have a stronger focus on the probabilistic method and generative AI, which is likely to increase student satisfaction. Areas that require attention concern clarity of course organization, transparency of expectations, and support for monitoring progress. The last component will be strengthen next year by a new examination system. This year fear of AI based cheating forced us to have substantial amounts of oral examination that removed resources from grading written solutions and, thereby, increased turn-around time. The variation in responses suggests that some students, especially those with weaker background knowledge, may have experienced uncertainty regarding structure, grading criteria, or alignment between teaching activities and examination. Planned improvements Further clarify course structure and expectations Provide clearer grading criteria and rubrics for assignments. Increase survey participation by reminding students and allocating time for evaluation completion.