Fall 2024 - EVSC 445 D100
Environmental Data Analysis (4)
Class Number: 4845
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 4 – Dec 3, 2024: Wed, Fri, 8:30–10:20 a.m.
Location: TBA
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Instructor:
Ruth Joy
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Prerequisites:
GEOG 251, or one of STAT 100, 201, 203, 205 or 270 or permission of the instructor.
Description
CALENDAR DESCRIPTION:
Introduces environmental scientists to application of modern data analysis methods. This course covers sampling, experimental design, and the analysis of quantitative data collected in the course of environmental monitoring, assessment and restoration programs. Students will be introduced and gain experience with the statistical programming language R.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html