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| ESS 6520 - Env Informatics Python Apps |
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Prerequisite: ESS 6510. Programming GIS, or consent from instructor. Data analysis pre-processing, visualization, classification, and statistical functions from Python packages and machine learning algorithms applied to environmental data. Students will gain professional experience working with real-world environmental data.
3.000 Credit hours 3.000 Lecture hours Levels: Doctoral, Specialist in Education, Graduate, Undergraduate Schedule Types: Lecture Environmental Studies Department Restrictions: Must be enrolled in one of the following Levels: Specialist in Education Graduate Doctoral Prerequisites: Prereq for ESS 6520 General Requirements: ( Course or Test: ESS 6510 Minimum Grade of D May not be taken concurrently. ) |
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