Simon Fraser University
Engaging the World

Course Outlines

Spring 2020 - MSE 210 D100

Engineering Measurement and Data Analysis (3)

Class Number: 3554

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 6 – Apr 9, 2020: Wed, 11:30 a.m.–12:20 p.m.
    Surrey

    Jan 6 – Apr 9, 2020: Fri, 10:30 a.m.–12:20 p.m.
    Surrey

  • Exam Times + Location:

    Apr 24, 2020
    Fri, 12:00–3:00 p.m.
    Surrey

  • Prerequisites:

    PHYS 141 or equivalent. MATH 150 or MATH 151.

Description

CALENDAR DESCRIPTION:

An introduction to methods to collect and analyse engineering data. Topics include the Engineering data representation, Discrete and continuous probability density functions, Engineering measurements, Error analysis, Introduction to sensor interfaces, Introduction to physical sensors, Introduction to sensor signal conditioning, Noise, Test of hypotheses, Linear and nonlinear regression, and Design of experiments. Students with credit for SEE 241, ENSC 280 or PHYS 231 may not take MSE 210 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