|Course Number||Course Title||Class / Credit Hours||Prerequisites||Course Description|
|A&AE 550Q||MULTIDISCIPLINARY DESIGN OPTIMIZATION||(Class 3, Cr. 3)||
Basics of numerical optimization:problem formulation, conditions of optimality, search direction and step length. Calculus-based techniques for univariate and multivariate optimization. Constrained and unconstrained optimization methods. Multiobjective optimization: Pareto optimality and approaches. Recent Multidisciplinary Design Optimization techniques:approximations, response surface methodology, and collaborative optimization. Applications of various methods and techniques to representative engineering problems, culminating in a final projects.