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I really liked the overall structure of the course. The website is well organized and easy to follow, with a consistent flow of introducing concepts, explaining the theory, practicing with examples, and summarizing each subchapter. I also appreciated that the practical exercises were always connected to geography and spatial data science. In other programming courses, exercises often remain quite theoretical, whereas here the applications felt relevant and meaningful.

I also enjoyed the assessment format, especially the code discussion. The course website will likely remain a useful reference resource for me in the future. Overall, I think the structure of working through the material independently and then using the labs to ask questions works very well. Best regards, Raphael

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I had some prior experience with Python, so the pace felt manageable for me. However, I can imagine that some students with no programming background may have found the learning curve quite steep at times. Personally, I really enjoyed progressing to more advanced tools such as GeoPandas and Folium.

One thing I wondered about is whether it would make sense to encourage students to switch to JupyterLab or VS Code earlier in the semester. Since the course also introduces Git and GitHub for the project, students who continue using Colab throughout the semester might find the transition more challenging later on. Best regards, Raphael

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It could be interesting to include short recap videos or brief walkthroughs of key concepts and practical exercises. While the written material is excellent, having occasional video explanations or lab recaps could provide additional support and variety beyond individual reading. Best regards, Raphael