Course Wrap Up
ENV 859 - Geospatial Data Analytics | Fall 2025 | Instructor: John Fay
Surveys
1. Breadth vs depth of class
- Always a challenge; but did I spread too thin?
- Too much time on any specific topic?
- Too little time?
2. Synchronous sections - how to make more effective?
- Better if I lectured instead of responded?
- Too much lecturing?
- How were these relative to other courses?
3. Course Web site:
- Better than Sakai?
- Were documents useful?
- Good organization: streamline access or make more of a pain?
5. Sections: Useful? Tweaks?
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Advanced Geoprocessing
* Incorporate into previous GIS classes? * Useful in getting you to think in terms of workflow?
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Python 101
* Could we skip this and plunge right in? Or was this helpful? * Make Python a prerequisite?
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Writing scripts
* A useful skill set?
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ArcPy & writing geoprocessing scripts?
* Will you use this?
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Data science
*
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Cloud-GIS
- Which would you be interested in taking a full course on?
6. Side topics: useful or distracting?
- Jupyter and Spyder
- GitHub
- Conda
7. Evaluation
- Effective and fair evaluation of what you learned
- Problem sets useful or would exams be better (or both)?
8. Course project
- How to make class more useful for projects?
Where class examples useful?
- Too much ARGOS?
- Other examples useful?
- Helpful to have more examples that address equity? Social justice?