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