Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5512. Introduction to Spatial Data Science

3.00 credits

Prerequisites: GEOG 5500 or instructor consent.

Grading Basis: Graded

Introduction to the fundamentals of spatial data science. Students will also learn how to apply a high-level programming language, R, for spatial data analysis, visualization, and modeling.

No classes found.