Design Optimization

Course Information

• Overview
• Syllabus
• Schedule
• Book Chapters 📒
• Info Sheet
• Expectations
• Competencies
• Optimization Software
• YouTube Playlist
• Attach:YouTube.png Δ

Homework

• Optimization Basics
• Optimize with Python
• Tubular Column
• Two Bar Truss
• Step Cone Pulley
• Beam Column
• Crane Hook
• Rocket Launch
• Spring Design
• Heat Integration
• Slurry Pipeline
• Oxygen Furance
• Quasi-Newton Methods
• Discrete Design
• Simulated Annealing
• KKT Conditions
• Interior Point Method

Projects

• Application Project
• Solver Project

Activities

• 1-MATLAB and Python
• 2-Equation Residuals
• 3-Financial Objectives
• 4-Parallel Computing
• 5-Advanced Programming
• 6-Logical Conditions
• 7-Simulated Annealing
• 8-Climate Control
• 9-Dynamic Estimation
• 10-Vapor Liquid Equilibrium
• 11-Ethyl Acetate Kinetics
• 12-Dye Fading Kinetics
• 13-Linear Regression
• 14-Nonlinear Regression
• 15-Knapsack Optimization
• 16-Schedule Optimization
• 17-Global Optimization
• 18-Nonlinear Pricing

Lecture Notes

• Optimization Introduction
• Mathematical Modeling
• Unconstrained Optimization
• Discrete Optimization
• Genetic Algorithms
• Constrained Optimization
• Robust Optimization
• Dynamic Optimization

Extra Content

• Box Folding
• Circle Challenge
• Linear Programming
• Minimax or Maximin
• Slack Variables

Related Courses

• 🎓 Begin Python
• 🎓 Begin Matlab
• 🎓 Begin Java
• 🎓 Engineering Computing
• 🎓 Data Science
• 🎓 Data-Driven Engineering
• 🎓 Machine Learning
• 🎓 Control (MATLAB)
• 🎓 Control (Python)
• 🎓 Optimization
• 🎓 Dynamic Optimization

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