ISE 589/ OR 591: Introduction to Optimization and Machine Learning for Systems Analytics

ISE 589-012 / OR 591-001: Introduction to Optimization and Machine Learning for Systems Analytics

Syllabus References

Lecture Notes

Lecture 0 |  Lecture 1 |  Lecture 2

Lecture 3 |  Lecture 4 |  Lecture 5

Lecture 6 |  Lecture 7 | Supplemental Lecture

Supplemental Materials

• Optimization in Machine Learning and Data Science
• Support Vector Machines and Kernel Methods
• Galton, Pearson, and the Peas: A Brief History of Linear Regression for Statistics Instructors
• Designing Effective Machine Learning Experiments

Homework Assignments

Assignment #1 (Due: 11:45 A.M. 01/27/2026) 

Assignment #2 (Due: 11:45 A.M. 02/10/2026) HW2data.zip

Assignment #3 (Due: 11:45 A.M. 02/26/2026) HW3data.zip

Assignment #4 (Due: 11:45 A.M. 03/26/2026) HW4data.zip

Assignment #5 (Due: 11:45 A.M. 04/07/2026)

Assignment #6 (Due 11:45 A.M. 04/21/2026) 

Hand-on Exercises

• Exercise I: 
  • Exercise description
  • Dataset
  • Due: 1:00 P.M. 02/19/2026
• Exercise II: 
  • Exercise description
  • Dataset
  • Due: 1:00 P.M. 03/12/2026
• Exercise III: 
  • Exercise description
  • Dataset
  • Due: 1:00 P.M. 04/02/2026
• Exercise IV: 
  • Exercise description
  • Dataset
  • Due: 1:00 P.M. 04/30/2026

Course Grades