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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(Session 1) | (Session 2) | |||
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 |