Evaluation¶

• Date: 2025-03-26
• language: Julia
• Registrations: ?
• Participants: 4
• Number of evaluations filled in: 3 (75% response rate)
• Average course satisfaction: 8.3/10.0
• success_score.txt: 82%
• Analysis script: analyse.R
• Average confidence per question as a table: average_confidences.csv

Question 2: What do you think about the pace of teaching overall?¶

• teaching was excellent
• It was good. However, some parts were redundant if you hade attended another day.
• ok

Question 5: Which future training topics would you like to be provided by the training host(s)?¶

• machine learning/deep learning/ai-releated training
• A more detailed overview of how to setup everything to work with the gpus.

Question 6: Do you have any additional comments?¶

Suggestions/ideas:

• What did you like best? (materials, exercises, structure)
• Where should we improve? (materials, exercises, structure)
• Training organization (announcement, registration, participant info, …): what was good and what should we improve?
• Length/depth of the course: too long/short, too superficial/profound, adequate.
• Teaching aids used (presentations, slides, videos, …): well prepared or not? Specific sessions that were better/worse in this?
• Hands-ons, exercises, demonstrations: were they well prepared or not? Specific sessions that were better/worse in this?
• Hands-ons and demonstrations: too few, too many, adequate amount?
• Comments about specific sessions? Good/bad?

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