Description: Hours: Two hours lecture and two hours activity per week
Description: This course introduces students to foundational statistical concepts and tools essential for environmental science and resource management. Students will develop quantitative and analytical skills through practical applications of open-source software such as R, alongside accessible non-command line tools like Excel, JMP, and Tableau. Analytical topics include parametric and non-parametric methods, probability distributions, hypothesis testing, and regression analysis. Coursework emphasizes data management, quality assurance, and visualization, with a focus on interpreting environmental and social science data. By the end of the course, students will gain confidence in using statistical methods to explore and analyze complex environmental problems.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| 1 | 01 | 2003 | LEC | T | 12:00 PM - 01:50 PM | Sierra Hall 2432 | Brenton Spies |
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| 1 | 1A | 2004 | ACT | TH | 12:00 PM - 01:50 PM | Sierra Hall 2432 | Brenton Spies |
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