Design Optimization

MANE-6710

This course introduces the theory and practical use of numerical design optimization methods. Topics include: gradient-based methods for unconstrained and constrained nonlinear optimization; numerical evaluation of derivatives; polynomialand- and kriging-based surrogate models; gradient-free optimization methods; optimization under uncertainty; multi-objective and multi-disciplinary optimization. Projects require the use of computer programs to generate numerical results; therefore, experience with programming is highly recommended.

3 credits
Cross-listed with:
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 17/20
2023
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 15/20
2022
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 21/20
2021
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 18/20
2020
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 23/20
2019
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 9/20
2018
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