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?

  • Advanced Geoprocessing
    * Incorporate into previous GIS classes?
       	* Useful in getting you to think in terms of workflow?
    
  • Python 101
    * Could we skip this and plunge right in? Or was this helpful? 
       	* Make Python a prerequisite? 
    
  • Writing scripts
    * A useful skill set? 
    
  • ArcPy & writing geoprocessing scripts?
    * Will you use this? 
    
  • Data science
    * 
    
  • 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?