Fall 2019 - SEE 241 D100

Measurement, Analysis and Forecasting (3)

Class Number: 9756

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 3 – Dec 2, 2019: Tue, 11:30 a.m.–1:20 p.m.
    Surrey

    Sep 3 – Dec 2, 2019: Thu, 11:30 a.m.–12:20 p.m.
    Surrey

  • Exam Times + Location:

    Dec 10, 2019
    Tue, 3:30–6:30 p.m.
    Surrey

  • 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, MSE 210, PHYS 231, or STAT 270 may not take this course for further credit.

Registrar Notes:

SFU’s Academic Integrity web site 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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS