Information About

Catalog description

Introduction to a wide range of computational techniques for engineering design.  Modeling, simulation, optimization, design software, examples/projects with emphasis on computational techniques for design and manufacturing related applications.

Prerequisite

Graduate standing, senior undergraduate or permission of instructor

Who takes it

ME 341 is taken by Mechanical Engineers, Manufacturing Engineers, students from other engineering disciplines with the Segal Design Institute, and anyone who is interested in furthering their knowledge in design engineering.

What it is about

The course is designed to provide students across all engineering disciplines a view of using computational techniques and the simulation-based design paradigm for engineering decision making, across a wide spectrum of activities in engineering product development, including those in product design, manufacturing, and life cycle engineering. The course will promote project-based learning which encourages students to work on computational design projects. The course will also expose students to the state-of-the art commercial software for computational design.

Mini syllabus

• Introduction to engineering optimization
• Engineering systems and modeling
• Simulation in design  
• Optimization
• Probabilistic computing/design under uncertainty
• Sampling and analysis of physical and computer experiments
• Mid term exam
• Project

Textbook:

Introduction to Optimum Design, Arora, J.S., 2004, Elsevier Academic Press, 2nd edition. ISBN 0-12-064155-0.

Additional:

Engineering Optimization: Methods and Applications, Reklaitis, R.R., 2002

Advanced Study:

ME 441 - Engineering Optimization for Product Design and Manufacturing

Contact:

Professor: Wei Chen
e-mail: weichen@northwestern.edu