Summer 2023 - SEE 241 D100
Measurement, Analysis and Forecasting (3)
Class Number: 3839
Delivery Method: In Person
Overview
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Course Times + Location:
Tu 2:30 PM – 4:20 PM
SRYE 4016, SurreyFr 2:30 PM – 3:20 PM
SRYE 4016, Surrey -
Exam Times + Location:
Aug 15, 2023
8:30 AM – 11:30 AM
SRYE 3016, Surrey
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Instructor:
Manpreet Kaur
1 778 782-7035
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Prerequisites:
PHYS 141, MATH 232. Corequisite: MATH 251.
Description
CALENDAR DESCRIPTION:
An introduction to methods for collecting and analysing engineering data. Topics include engineering data representation, probability density functions, engineering measurements, error analysis, test of hypotheses, regression, and design of experiments. Students with credit for ENSC 280 and MSE 210 may not take this course for further credit.
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