Optimization Course Schedule

1Introduction to OptimizationCh 1Optimization Basics and Optimize with Python
2Modeling ConceptsCh 2Two Bar Truss
3Modeling ConceptsCh 2Spring Design
4Unconstrained OptimizationCh 3Heat Integration or Slurry Pipeline (your choice)
5Unconstrained OptimizationCh 3Quiz #1
6Unconstrained OptimizationCh 3Project #1
7Discrete OptimizationCh 4Search Directions
8Discrete OptimizationCh 4Discrete Design
9Genetic AlgorithmsCh 5Simulated Annealing
10KKT EquationsCh 6Mid-Term Exam
11Constrained AlgorithmsCh 7KKT Conditions
12Constrained AlgorithmsCh 7Interior Point Method
13Robust DesignCh 8Dynamic Estimation
14Dynamic OptimizationCh 9Quiz
15Presentations Project #2
 Final Exam  
  • Schedule subject to change