# 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:
MANE-4280 Design Optimization
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |

2025

Numerical Design Optimization (3c)

- Jason Edward Hicken

Seats Taken: 26/20

2024

Numerical Design Optimization (3c)

- Jason Edward Hicken

Seats Taken: 18/20

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

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