Spring 2018 - MSE 726 G100
Introduction to Engineering Design Optimization (3)
Class Number: 3158
Delivery Method: In Person
Course Times + Location:
Mo 2:30 PM – 4:20 PM
SUR 3170, Surrey
We 2:30 PM – 3:20 PM
SUR 3170, Surrey
Theories, methods, and applications of optimization in support of engineering design. Topics include classic optimization methods, metaheuristics and evolutionary algorithms, Design of Experiments, and metamodel-based design optimization approaches. Students are required to complete a project.
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
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