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ERS 669Applied Statistics in Ecology and Environment

Units
0.50
Level
Graduate
Faculty
Environment
Subject
Environment, Resources and Sustainability
Cross-listed
GEOG 617

ERS 669 as listed in the Fall 2026 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. Students may be provided the opportunity to work with their thesis data if those data have been collected and are congruent with course learning outcomes and objectives.

Prerequisites

None listed.

Antirequisites

None listed.

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 42 terms, Fall 2006 to Winter 2024