Accelerating Massive Data Processing in Python with Heat

Survey

Accelerating Massive Data Processing in Python with Heat

1. How did you find out about this course?*

via JSC-newsletter (email)

through a colleague

website: JSC-Training

website: Gauss Centre of Supercomputing (GCS) Event List

website: German HPC Calendar

websites: The High-Performance Computing in Europe Portal or EuroCC2 Portal - Training

via social media (X, LinkedIn)

other: if yes, please write your answer below

1a. Other:

2. How would you rate the course overall?*

10 - excellent

9

8

7

6

5 - neither good nor bad

4

3

2

1

0 - very bad

3. In my opinion, the length of the course in regard to the topics covered was...*

too short

adequate

too long

4. Depth of the subjects in the course was...*

too superficial

adequate

too profound

5. The pace of teaching was...*

too slow

adequate

too fast

6. Hands-on exercises (respectively, demonstrations) in the course were...*

too few

adequate

too many

7. How do you feel about the following statement: The teaching materials of the course (e.g. slides, figures...) were useful.*

agree completely

agree

partially

disagree

disagree completely

no strong feelings

8. What would you like to tell the lecturer(s) about their teaching style and the content (e.g. topic, structure) of the course you attended?

8a. What did you like?

8b. What should we improve?

9. What do you think about the course format (e.g. on-site, online, self-study) of the current course?

10. Regarding the training event organisation (e.g. announcement, registration, at on-site courses: room, social event,...)

10a. What did you like?

10b. Where should we improve?

11. Do you have any suggestions as to what other topics / content the HLRS should offer in a course?

12. Anything else you would like to tell us?

That was our last question. Please confirm your final entries using "Submit" at the bottom. Thank you very much.

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