GEOG8295

In the past decades, machine/deep learning has become one of the most successful techniques in studying data patterns thanks to the increasing power of modern computations. Geographers also endeavor to contribute by introducing techniques from GIS and spatiotemporal analysis to solve challenging issues facing human-environment systems. Geospatial Artificial Intelligence (GeoAI) is an emerging cross-discipline that integrates machine/deep learning techniques for geographical knowledge discovery, which has drawn great attention in the inter-discipline of computer science and GIScience. This seminar course aims at outlining the latest trends, successes, challenges, and opportunities at the frontier of GeoAI. Students who complete this course will understand key topics in the cross-discipline of Artificial Intelligence and Geography. Depending on student orientation, this course can be used to gain insight into the technical underpinnings of GeoAI for use on the job, complement ongoing research in relevant areas, or give essential background knowledge on methodological, theoretical, and application dimensions of GeoAI.

OPT - Student Option

No

Every Spring