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

Week 3

Mon Feb 3
LEC 4Linear Regression
HW 1: Linear Regression
HW 1 Assigned
Wed Feb 5
LEC 5Classification

Week 4

Mon Feb 10
LEC 5Classification
Wed Feb 12
LEC 6Resampling

Week 5

Mon Feb 17
LEC 7Selection
HW 1 Due
Wed Feb 19
LEC 8Trees
HW 2: Classification
HW 2 Assigned

Week 6

Mon Feb 24
LEC 8Trees
Wed Feb 26
NO CLASS
Fri Feb 28
HW 2 Due

Week 7

Mon Mar 3
NO CLASS
Wed Mar 5
LEC 9Neural Networks

Week 8

Mon Mar 10
EXAMExam 1
Wed Mar 12
NO CLASS

Week 9 (Spring Break)

Mon Mar 17
NO CLASS
Wed Mar 19
NO CLASS

Week 10

Mon Mar 24
LEC 9Neural Networks
Project 1: Statistical Learning
Proj 1 Assigned
Wed Mar 26
LEC 9Neural Networks

Week 11 (Design Optimization)

Mon Mar 31
LEC 9Neural Networks
Wed Apr 2
LEC 10Design of Experiments
HW 3: Design of Experiments
HW 3 Assigned

Week 12

Mon Apr 7
LEC 10Design of Experiments
Proj 1 Due
Wed Apr 9
LEC 11Optimization
Project 2: Data-Driven Optimization
CATME Team Activity AssignedProj 2 Assigned
Thu Apr 10
CATME Due
Fri Apr 11
HW 3 Due

Week 13

Mon Apr 14
LEC 11Optimization
Wed Apr 16
LEC 11Optimization
Fri Apr 18
Proj 2 Topic Due

Week 14

Mon Apr 21
LEC 12Genetic Algorithms
HW 4: Genetic Algorithms
HW 4 Assigned
Wed Apr 23
LEC 12Genetic Algorithms

Week 15

Mon Apr 28
LEC 13Multi-objective Optimization
Wed Apr 30
LEC 13Multi-objective Optimization
HW 4 Due

Week 16

Mon May 5
TBD
Wed May 7
ProjProject 2 Presentations
Project 2 Due
Thu May 8
CATME Peer Review Due

Week 17 (Finals Week)

Mon May 12
Exam 2 Due