Master's and PhD Degrees / Courses / Course DescriptionsMECH_ENG 341: Computational Methods for Engineering Design
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Prerequisites
Graduate standing, senior undergraduate or permission of instructorDescription
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.
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's 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.
Minisyllabus
- 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., Elsevier Academic Press, 2nd, 3rd or 4th edition.
Additional
- Engineering Design: A Materials and Processing Approach, Dieter G. E., 1991, 2000, 2009
- Engineering Optimization: Methods and Applications, Reklaitis, R.R., 2002
Advanced Study
ME 441 - Engineering Optimization for Product Design and Manufacturing
