GIS5572: Advanced Spatial Data Science Applied with ArcGIS

3 Credits

This is the second of a two-course series focused on teaching advanced skills in spatial data science with emphasis on the Esri ecosystem of geospatial technologies. Students will further develop the skills required to build end-to-end data integration pipelines in the cloud, build automated quality assurance and quality control procedures for data, and run and validate stochastic simulation models. By the end of the course, students will be able to build geospatial workflows and data systems, basic stochastic simulation models, store results and model validation steps in a database, and create professional-level communication maps and graphs.prereq: [5571, [GEOG 5561 or equiv], in MGIS program] or instr consent

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A Average (3.887)Most Common: A (65%)

This total also includes data from semesters with unknown instructors.

54 students
SFDCBA
  • 4.35

    /5

    Recommend
  • 3.38

    /5

    Effort
  • 4.49

    /5

    Understanding
  • 4.37

    /5

    Interesting
  • 4.15

    /5

    Activities


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