Course Description

This seminar explores selected topics in GeoAI and machine learning research to answer geospatial questions. Students will critically examine the current state of knowledge over a range of fundamental and frontier research issues in AI and particularly machine learning techniques to address geographical problems.

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Athena Title

Seminar in GeoAI

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Prerequisite

[(CSCI 1301-1301L or CSCI 1301E or CSCI 1360 or CSCI 1360E or GEOG 4590/6590-4590L/6590L or GEOG 4590E/6590E) and (GEOG 4300/6300 or GEOG 4470/6470-4470L/6470L)] or permission of department

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Semester Course Offered

Offered spring

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Grading System

A - F (Traditional)

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Student learning Outcomes

• Students will understand how to nurture independent learning and research ability and have motivated interests in geographically oriented machine learning research through readings, critiques, discussions, practices, and research writing.
• Students will understand how to use Geo AI in their research and workplace.

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Topical Outline

• Overview of artificial intelligence and machine learning for geospatial research
• Spatial classification and clustering with AI/ML
• Word embedding and place embedding
• Graph neural network

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Syllabus

Select Faculty / Instructor to download syllabus:   Yao, Xiaobai

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Public CV

Select a file to download:   FYOS1001_Yao_Fall2026_CV.pdf

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