PBPL 153: Machine Learning and Deep Learning With Geographic Information Systems

2026-27

Units: 4

Hours: Lecture, 3 hours; individual study, 3 hours

Catalog page 590

Prerequisites: CS 010 with a grade of C- or better, PBPL 010 with a grade of C- or better, PBPL 060A with a grade of C- or better, PBPL 060B with a grade of C- or better; restricted to class level standing of junior, or senior

Description: Introduces the concept of GeoAI, interdisciplinary field between geography and artificial intelligence (AI). Provides novel approaches for addressing various geospatial problems in the natural environment and human society. Explores machine learning concepts and models and how to use them to address geospatial problems. Emphasizes both theoretical concepts and hands-on skills.

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Prerequisite graph not available.