Lab 11

For this week’s lab, you will create a plan for enhancing your geospatial knowledge. You can complete 1-2 of the tasks noted below or propose a different task to be approved by the instructor. There will be considerable flexibility in what you work on, but these tasks cannot be related to other courses (or part of a paid job you currently have). Your grade each day will be based on participation in class (50%; leaving early or not showing up will result in a reduced grade) and evidence of progress (50%).

In the Canvas dropbox, you will submit two documents each day: 1. A description of the task(s) you are pursuing (submitted at the beginning of the class period). 2. Evidence of progress for that day.

Tasks

  1. Learn more Python through DataCamp tutorials and create a report (using Jupyter notebooks or a similar platform) on a Python-related problem
  2. Use R to address some of the lab content we tackled with Python
  3. Learn a new programming language through DataCamp (e.g., SQL or JavaScript)
  4. Extend a research project that you are working on with a faculty member by mapping results, enhancing its spatial analysis, or apply other spatial techniques
  5. Embark on an AI-driven task such as
    1. Experimentation with agentic coding
    2. Optimizing the content from labs 9 and 10 using LLMs
    3. Use LLMs and python to complete labs 2 and 5
  6. Prepare a cover letter and a resume for several prospective jobs
  7. Create a Python toolbox in ArcGIS Pro
  8. Complete a series of Learn ArcGIS tutorials and apply that content to a new problem (e.g., learn how to deliver feature services, advanced editing and topology, etc.)
  9. Learn how to “touch type” or begin courses that teach touch typing and make considerable progress this week.
  10. Other task as approved by instructor

Rubric

Item Points
Daily plan 4
Evidence of progress 6
Participation 10