System Design and Analysis based on AD and Complexity Theories

Photo of space shuttle launch.
The Space Shuttle is an example of a highly complex system with many functional requirements. (Photo courtesy of NASA.)

Instructor(s)

MIT Course Number

2.882

As Taught In

Spring 2005

Level

Graduate

Cite This Course

Course Features

Course Highlights

This course features lecture slides and suggested problems from the course textbooks as study materials.

Course Description

This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed.

Suh, Nam, and Taesik Lee. 2.882 System Design and Analysis based on AD and Complexity Theories, Spring 2005. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/mechanical-engineering/2-882-system-design-and-analysis-based-on-ad-and-complexity-theories-spring-2005 (Accessed). License: Creative Commons BY-NC-SA


For more information about using these materials and the Creative Commons license, see our Terms of Use.


Close