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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
GEOG 250 Minimum Grade of D- |
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