ESRM 203 - Intro to Environmental Stats
Description
Hours: Two hours lecture and two hours activity per week Description: Introduces students to quantitative, analytical skills, and technological tools commonly used in ESRM scholarship with an empahsis on open-source tools. Analytical categories include parametric, non-parametric, multidimensional scaling, and Monte Carlo approaches to hypothesis testing. Coursework will span data structure and QA/QCing of datasets, progress to common experimental design and hypothesis testing, and compare and contrast common social and ecological experimental design and data structure. Much of the semester will center around the R language, but students will also be exposed to a variety of commonly used, non-command line tools (e.g. JMP, Plot.ly, Tableau).
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| ARR | Online | 8/22/2020 - 12/18/2020 | Emily Fairfax |
Status: Open
Class Number: 2120
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/22/2020 - 12/18/2020
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 20
Available Seats: 10
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Lower Division
- B4: Math - Quantitative Reason