List of course feedback

[joelostblom]

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

[joelostblom]

Feel free to add anything you hear from students or Martin in person also

[joelostblom]

@mbonsma Can you add some of the general course feedback from the survey they completed today?

[lwjohnst86]

Maybe we can put the feedback into the council repo?

[mbonsma]

Is it too public though?