ERS 669Applied Statistics in Ecology and Environment
- Units
- 0.50
- Level
- Graduate
- Faculty
- Environment
ERS 669 as listed in the Winter 2025 Graduate Calendar. The main page has the current version, when it runs, and seats.
This course covers study design, and data management, visualization, and statistical analysis. The primary focus will be the development and understanding of generalized linear models as they are foundational to most analyses in Environment and Ecology. Students will learn to fit models to data and assess model fit. Students will also be introduced to the use of the statistical software R and provided the opportunity to use that software to manage and analyze their own data. Special topics will be developed based on the needs and interests of the students and may include hierarchical modelling, multivariate statistics, survey analysis, non-linear modelling, or other topics. Students are expected to bring their own computer and data. For cases in which data have not been collected, students will work with the professor to source similar data or generate simulated data to support their progress through the course.
Prerequisites
None listed.
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Winter 2025
- Graduate Calendar, Winter 2025The archived entry
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