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GDS 387Artificial Intelligence in Geospatial Data Science

Units
0.50
Faculty
Environment
Subject
Geospatial Data Science

When it runs

  1. F24
  2. W25
  3. S25
  4. F25
  5. W26
  6. S26
  7. F26
  8. W27
  9. S27

Ran in 0 of the last 7 terms. Winter 2027: scheduled, 2 lecture sections. Spring 2027: schedule not out yet.

An in-depth study of current machine learning methods and their applications in geospatial science, with a focus on remote sensing and geographical information analysis. The differences between traditional spatial statistical analysis and modelling with artificial intelligence (AI) approaches will be emphasized and their applicability to spatial AI.

Prerequisites

  • Complete 1 of the following
    • Must have completed at least 1 of the following:
      • GDS281 - Introduction to Geographic Information Systems (GIS) (0.50)
      • PLAN281 - Introduction to Geographic Information Systems (GIS) (0.50)
    • Must have completed the following:

Antirequisites

  • Not completed any of the following:

Leads to

Winter 2027 sections

Enrolment from UW Open Data, which can trail Quest by up to two days. Instructors and rooms: Schedule of Classes.
SectionClassEnrolledMeets
LEC 00172830 / 84T 14:30–16:20
LEC 701821070 / 9999Online or by arrangement
LAB 10173680 / 28W 16:30–18:20
LAB 10273690 / 28W 18:30–20:20
LAB 10373700 / 28T 18:30–20:20

Check it elsewhere for Fall 2026

Calendar versions

Undergraduate Calendar