Class Number: 2004
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.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| TH | 12:00 PM - 01:50 PM | 08/23/2025 - 12/13/2025 | Sierra Hall 2432 | Brenton Spies |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Activity
Career: Undergraduate
Start Date: 08/23/2025
End Date: 12/13/2025
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 21
Available Seats: 3
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Lower Division
- 2: Mathematical Concepts & Quantitative Reasoning
- CS Numbers 7-14, 18-21
- In-Person