GEOG 58 GeoAI

GeoAI explores the intersection of geospatial science and artificial intelligence, focusing on methods and applications that leverage AI techniques to handle, analyze, present, and interpret spatial data.

 In the methodological aspect, the course covers foundational concepts and methods of GeoAI. Besides traditional machine learning methods such as random forest, artificial neural network, genetic algorithm, cellular automata, and agent-based modeling, this course will particularly introduce the methods and techniques for taking advantage of generative AI, such as prompt engineering, retrieval-augmented generation (RAG), generative modeling, agents, and knowledge graph.

Degree Requirement Attributes

Dist:TAS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Department-Specific Course Categories

Geography