Optimization Methods for Complex Designs

M E 425/525 XE


Course Description

Optimization involves finding the 'best' according to specified criteria. Review of a range of optimization methods from traditional nonlinear to modern evolutionary methods such as Genetic algorithms. Examination of how these methods can be used to solve a wide variety of design problems across disciplines, including mechanical systems design, biomedical device design, biomedical imaging, and interaction with digital medical data. Students will gain knowledge of numerical optimization algorithms and sufficient understanding of the strengths and weaknesses of these algorithms to apply them appropriately in engineering design. Experience includes code writing and off-the-shelf routines. Numerous case-studies of real-world situations in which problems were modeled and solved using advanced optimization techniques. Nonmajor graduate credit.

3 credits tenative course rotation: Spring

Questions

Instructor Contact

Vijay Kiran Kalivarapu

Registration Information

Course Dept
M E
Course Number
425/525
Section
XE
Credit Hours
3
Semester
Fall 2017
Dates
Aug 21 - Dec 15
Prerequisites
M E 160, MATH 265
Max Enrollment
30
Delivery Fee
$390.00 *
* Delivery Fee is additional to Tuition & Fees.

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