Ecological Methods
Biology · 3 hrs Lecture | 3 hrs Lab
Offered: Fall Or Winter
BIOL-4471 prerequisites
12 courses appear in this chain, up to 3 levels deep. Every route through it involves a choice, so nothing is forced.
Part of this course's requisite text couldn't be parsed into structure, so the chain below may be incomplete. The full wording is under “Requisite courses”.
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all of
any one of
any one of
1 course from STAT-1301
any one of
Pre-Calculus Mathematics 40S
Applied Mathematics 40S
any one of
Any 3 credits of 1000 level Geography courses
permission of the instructor
permission of the instructor
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Where BIOL-4471 counts
Counts toward 2 more as one option among several, not as a course you must take:
Read from the departments' own calendar pages, where 71 of 141 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.
Description
This course deals with the statistical properties and analysis of ecological data. Students study the practical and conceptual bases of good statistical practice 'from the ground up', including study design, presentation of scientific results, and high quality graphics. Topics include the nature of data and variables, exploratory analysis, statistical distributions and probability, study design, replication, and pseudoreplication. Students use real ecological data sets to perform simple and multiple linear regression, ANOVA, and ANCOVA. In the laboratory, students learn how to use the R open source statistical language to produce high quality graphics and to perform elementary statistical programming.
Requisite courses
GEOG-2203 or BIOL-2403 or BIOL-3471, and 1 course from STAT-1301, STAT-1501, GEOG-2309, GEOG-2310 or BIOL-3492, or permission of the instructor [prerequisite(s)]; BIOL-4471L (lab) (must be taken concurrently).
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.