MEES613

Environmental Statistics I

Reviews for this courseTestudo

Extends the quantitative training for students in the environmental sciences. It will explore the basic practices of statistics to inter-disciplinary environmental data. The goal is to train students with the statistical knowledge and tools needed to conduct statistical analysis in their own research. The statistical programming language R is used in class, to complete homework sets, and to analyze online data.

Fall 2025

Dong Liang

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Vyacheslav Lyubchich

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Past Semesters

Vyacheslav Lyubchich

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Average rating: N/A

Dong Liang

0 reviews
Average rating: N/A

Vyacheslav Lyubchich

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.63 between 64 students*

MEES613 Grade Distribution+-0510152025303540455055606570% of studentsABCDFWother
A-: 9.38%
A: 48.44%
A+: 7.81%
B-: 10.94%
B: 9.38%
B+: 9.38%
C+: 1.56%
other: 3.13%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.