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UofTCoders
List of course feedback
Room to improve
- Review concepts at the beginning of the next lecture (Christie actually emphasized this as well)
- For the R intro part, we need to remove something or dedicate one more lecture to it, I skipped some stuff from the written material and did not have time to review anything.
- Include feedback surveys as part of the participation mark
- Reference section from the R for data science book relevant to the lectures
- Make sure code is visible on screen for long enough, don't scroll too fast
- Make challenge answers visible after the lecture
- Be sure to connect material to the larger theme of the course (modelling, theoretical ecology, R)
- More examples
- Include more reference material that people can follow up on
Good
- Lectures online
- Challenges (potentially more of them)
- Hands on lectures
- Cool graphs
- Assignments are challenging but solvable
Feel free to add anything you hear from students or Martin in person also
@mbonsma Can you add some of the general course feedback from the survey they completed today?
