carpentries-incubator
[Pilot workshop feedback]:
1. Workshop details
Faculty of ITC, University of Twente on 14-15 March. Hosted by Dr. Serkan Girgin. Dr. Rosa Aguilar, Robert Ohuru, and Jay Gohil were the instructors. 19 learners were present. Learners were majorly employees and students from the Faculty of ITC and had at least basic Geospatial domain knowledge.
2. What did the Instructors find worked well when teaching the lesson?
Instructors were satisfied with the content of the lesson. The usage of STAC and Rioxarray were leading elements of the workshop.
3. What did the Instructors find that could be improved in the lesson?
The flow of the lessons could be reviewed. A scenario or case-study-based approach for introducing the content of the lessons would be nice to implement.
4. Do the Instructors have any other feedback on the lesson?
It was noted that there was an issue while teaching Classifying Continuous Rasters in Python in Lesson 9. Raster Calculation in Python.
5. Were the Instructors able to teach the whole lesson in the time available?
Yes
6. Tell us more about the lesson duration
Instructors were able to teach complete course within the time frame.
7. Please share any feedback collected from Learners during the lesson pilot.
No response
8. Is there anything else you would like to tell us?
Revising the lesson 11. Parallel raster computations using Dask could be handy.
Hi, happened to go over the materials, and I seem to come across a bug also in lesson 10. The .squeeze() function does not seem to do what is intended. But some of the data, when collected either over the API or figshare, also do not seem to be exactly the same used by the developers of the lessons.
Thanks for trying out the lesson and for noting these issues! I'm a bit busy with other tasks but will look to run through the lesson later the month. PRs welcome for the Lesson 10 issue.
Do you have further detail on how Lesson 11 could be revised?
