Class Introduction
Basic Concepts I
Basic Concepts II
Functions of One Variable I
Functions of One Variable II
Unconstrained Functions in N Variables I
Unconstrained Functions in N Variables II
Constrained Functions in N Variables: SUMT I
Constrained Functions in N Variables: SUMT II
Constrained Functions in N Variables: SUMT III
Linear Programming I
Linear Programming II and Quadratic Programming
Constrained Optimization: Direct Method I
Constrained Optimization: Direct Method II
Constrained Optimization: Direct Method III
Constrained Optimization: Direct Method IV
Simulated Annealing I
Simulated Annealing II
Final Project Discussion
Genetic Algorithm I
Genetic Algorithm II
Multi-objective Design
Response Surface Methodology and Design of Experiments
MDO Decomposition Frameworks I
Final Project Discussion and Course Evaluations
MDO Decomposition Frameworks II
MDO Decomposition Frameworks III
Design Structure Matrix (DSM)
Global Sensitivity Equations (GSE)