ESRM 203 - Intro to Environmental Stats
Show Details for Open Courses Only
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).
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| 1 | 01 | 2123 | LEC | T | 3:00 PM - 4:50 PM | Online | Emily Fairfax |
|
| 1 | 1A | 2124 | ACT | ARR | Online | Emily Fairfax |
|
Key for Course Detail Icons
= Course Open - = Course Closed
= Course Details 
= Textbook Info- = General Education
= Extended University
= Service-Learning
= In Person Course- = Asynchronous Online Course
- = Synchronous Online Course
= Synchronous/Asynchronous Course
= No Cost Course Materials
= Low Cost Course Materials