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.
| Spring | Summer | Fall | ||
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| 2023 |
Numerical Design Optimization (3c)
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| 2022 |
Numerical Design Optimization (3c)
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| 2021 |
Numerical Design Optimization (3c)
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| 2020 |
Numerical Design Optimization (3c)
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| 2019 |
Numerical Design Optimization (3c)
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| 2018 |
Design Optimization (3c)
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| 2017 |
Design Optimization (3c)
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| 2016 |
Design Optimization (3c)
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Design Optimization (3c)
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| 2015 | ||||
| 2014 |
Design Optimization (3c)
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| 2013 |
Design Optimization (3c)
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| 2012 |
Design Optimization (3c)
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| 2011 | ||||
| 2010 |
Design Optimization (3c)
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| 2009 | ||||
| 2008 |
Design Optimization (3c)
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| 2007 |
Design Optimization (3c)
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Design Optimization (3c)
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| 2006 | ||||
| 2005 | ||||
| 2004 |
Design Optimization (3c)
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| 2003 |
Design Optimization (3c)
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| 2002 |
Design Optimization (3c)
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| 2001 | ||||
| 2000 | ||||
| 1999 | ||||
| 1998 | ||||