Spring 2018 - MSE 426 D100

Introduction to Engineering Design Optimization (3)

Class Number: 3146

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 3 – Apr 10, 2018: Mon, 2:30–4:20 p.m.
    Surrey

    Jan 3 – Apr 10, 2018: Wed, 2:30–3:20 p.m.
    Surrey

  • Prerequisites:

    Math 232, MATH 251, MSE 320 or ENSC 382 and a minimum of 80 credits.

Description

CALENDAR DESCRIPTION:

Theories, methods, and applications of optimization in support of engineering design. Topics include classic optimization methods, metaheuristics and evolutionary algorithms, Design of Experiments, and meta model-based design optimization approaches.

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/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