MECH 609 - Experimental Optimization

Prerequisite

MECH 509 (Manufacturing Quality Design and Control (waived for SM11)) Statistics and Calculus strongly recommended.

Description

The analyses and improvement in engineering experiments and industrial production processes typically are plagued with an incomplete mathematical knowledge of their underlying workings and the presence of statistical uncertainties when taking investigative data. Students will learn a highly effective set of approaches for handling optimization problems regularly occurring in these situations. They will also learn how to efficiently use data to construct the necessary local mathematical models. They will apply and compare these approaches in a real experimental case study.

This class is offered online in a webinar-style format and can be accessed synchronously or asynchronously. Synchronous means you can log on live and participate in the class as it is occurring on campus, but participation in this format is not required. Asynchronous means you can access the video recording of the class sessions whenever it is convenient for you.

This course can be applied towards:

• Mechanical Engineering (M.E.)
• Systems Engineering (M.E.)

Textbooks and Materials

Required

• An Introduction to Optimization, 3rd Ed.
  Edwin K.P. Chong, Stanislaw H. Zak, and John Wiley & Sons
  ISBN: 9780471758006
  Not available at the CSU Bookstore

Software: Matlab, Minitab and Acrobat Writer. All are available by remote access to CSU's Engineering Network Services. Academic pricing is available through CSU RAMtech and trial subscriptions may be available from the supplier.

Instructors

Dr. William Duff
bill@engr.colostate.edu

Professor William Duff earned his Ph.D. in Industrial Engineering from Stanford University. He is the Professor-in-Charge of the Industrial Engineering and Operations Research and Engineering Management graduate programs in the Mechanical Engineering Department at Colorado State University, and has over 40 years of experience in optimization, quality management, simulation, and other Industrial Engineering areas.

Edwin K P Chong
(970) 491-7858
echong@engr.colostate.edu

Edwin K. P. Chong was born in Kuala Lumpur, Malaysia. He received his B.E. from the University of Adelaide, South Australia, graduating top of his class in the Department of Electrical and Electronic Engineering; and M.A. and Ph.D. degrees from Princeton University where he held an IBM Graduate Fellowship.

He is currently a Professor in the Department of Electrical and Computer Engineering and in the Department of Mathematics at Colorado State University. Professor Chong's research interests are primarily in the areas of control, optimization, and modeling, with applications to computer/communication networks and wireless systems.