![Framework for multidisciplinary system design optimization. Framework for multidisciplinary system design optimization.](/courses/institute-for-data-systems-and-society/ids-338j-multidisciplinary-system-design-optimization-spring-2010/ids-77s10.jpg)
Framework of the many different components of multidisciplinary system design optimization (MSDO). This course addresses many of these different areas of MSDO, with a special focus on tools and algorithms used to address MSDO problems. (Figure courtesy of Prof. Olivier de Weck.)
Instructor(s)
Prof. Olivier de Weck
Prof. Karen Willcox
MIT Course Number
IDS.338J / 16.888 / (formerly ESD.77)
As Taught In
Spring 2010
Level
Graduate
Course Description
Course Features
- Lecture notes
- Projects and examples
- Assignments: problem sets with solutions
- Assignments: presentations with examples
- Assignments: written with examples
Course Description
There is need for a rigorous, quantitative multidisciplinary design methodology that works with the non-quantitative and creative side of the design process in engineering systems. The goal of multidisciplinary systems design optimization is to create advanced and complex engineering systems that must be competitive not only in terms of performance, but also in terms of life-cycle value. The objective of the course is to present tools and methodologies for performing system optimization in a multidisciplinary design context. Focus will be equally strong on all three aspects of the problem: (i) the multidisciplinary character of engineering systems, (ii) design of these complex systems, and (iii) tools for optimization.
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