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2023 January Semester
Dec 09, 2022
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

GEOG 450 - Advanced Geospatial Analysis
Students work with and analyze large geospatial remotely-sensed datasets learning and using advanced Python functional programming. In addition to laboratory exercises, students participate in a weekly seminar to critically evaluate research on geospatial algorithms and analyses. Students work together to use geospatial analyses to solve a problem relevant to non-academic stakeholders.
Credits: 0.000 OR 3.000

Levels: Undergraduate
Schedule Types: Lecture, Lec/Lab/Tut Combination, Laboratory


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