IE 513 -
The course targets fundamental theories of multidisciplinary design optimization (MDO). Design and optimization of complex systems is challenging. One of the core methods is MDO where a large-scale complex systems are decomposed into small-scale subsystems. Two core questions arise in MDO – solution equivalence and convergence to optimum. The course brings core theories of MDO with a basis in nonlinear programming, system decomposition, convergence characteristics study, analytical target cascading, and quasi-separable decomposition. Solution engines will be also studied including Newtonian methods, trust-region methods, and data-driven analytics methods. Students are required to complete a semester project either individual or group. Prerequisite: IE 310.