Numerical Design Optimization

MANE-4280

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; polynomial- 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

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 0/30
2022
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 36/30
2021
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 26/30
2020
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 41/50
2019
Numerical Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 35/40
2018
Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 19/45
2017
Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 33/50
2016
Design Optimization (3c)
  • Susan Lynn Miller
  • Jason Edward Hicken
Seats Taken: 30/50
Design Optimization (3c)
  • Jason Edward Hicken
Seats Taken: 19/50
2015
2014
Design Optimization (3c)
  • Joshua Lucas Hurst
Seats Taken: 42/60
2013
Design Optimization (3c)
  • Joshua Lucas Hurst
Seats Taken: 39/60
2012
Design Optimization (3c)
  • Joshua Lucas Hurst
Seats Taken: 19/50
2011
2010
Design Optimization (3c)
  • Achille Messac
Seats Taken: 38/68
2009
2008
Design Optimization (3c)
  • Achille Messac
Seats Taken: 50/68
2007
Design Optimization (3c)
  • Achille Messac
Seats Taken: 36/40