Class Number: 1898
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 | 03:00 PM - 04:50 PM | 01/25/2020 - 05/29/2020 | Sierra Hall 2432 | Emily Fairfax |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Activity
Career: Undergraduate
Start Date: 01/25/2020
End Date: 05/29/2020
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 19
Available Seats: 5
Wait List Capacity: 10
Wait List Total: 0
Textbook / Other Materials
Textbook Status: Required
ISBN:
Title: No Cost Course Materials
Author:
Publish:
More textbook information including prices
Enrollment Information
- Lower Division
- CS Numbers 7-14, 18-21
- B4: Math - Quantitative Reason
- Free Course Materials