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GGS 788: Deep Learning for Geoinformation

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Important: For the most up-to-date information, refer to the official George Mason Course Catalog

General Information

Credits: 3

Description:

Advanced course on machine learning theory and practice as applied to multi dimensional geoinformation. Includes application of machine learning algorithms to problems involving spatial data and spatial analysis, including image analysis. Offered by Geography/Geoinformation Sci. May not be repeated for credit.
Recommended Prerequisite: GGS 560 and GGS 650, or permission of instructor
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate or Non-Degree.

Students in a Non-Degree Undergraduate degree may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.