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EES4620 — Environmental Data Science

3 credits · 3 hours

Students will use basic programming (e.g. R, Matlab, and/or Python) to manipulate, graph, and analyze environmental data to create advanced data visualizations or master new analysis techniques such as mixed-effect modeling and ordination. pre-req: EES 2010 or 2110 or 2301 or 2312, and MATH 1250 or 1290 or 1296 or 1596 or STAT 2411, or instructor consent or grad student

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