Topics

• Statistical Learning (linear regression and classification, sampling, model selection)
• Artificial Neural Networks
• Design of Experiments
• Response Surface Methodology
• Metaheuristic Optimization
• Multi-Objective Optimization

Schedule

Week 1 (Statistical Learning)

Wed Jan 22

LEC 1Intro & Logistics

Setup env; Git & GitHub (opt)

LEC 2Statistical Learning

Week 2

Mon Jan 27

LEC 3Statistics Review

Wed Jan 29

LEC 4Linear Regression

HW 1: Linear Regression

HW 1 Assigned