Teaching

I teach the following courses. TeX source files of the lecture notes, sample Python scripts, assignments, quizzes and exams are available upon requests.

ISEN 620: Survey of Optimization

• Main topics
  • Linear optimization modeling, simplex methods, duality theory
  • Introduction to integer optimization: modeling and solution methods
  • Introduction to nonlinear optimization: optimality conditions and solution methods
• Semester taught
  • Spring 2026

ISEN 689: Convex Geometry and Optimization

• Main topics
  • Convexity and optimization duality in topological vector spaces, distributionally robust optimization
  • Convex bodies, volumes, ellipsoid methods, and measure concentration
  • Integral lattices, Minkowski theorem, and complexity of integer optimization in fixed dimensions
  • Sums of squares, polynomial optimization, and semidefinite optimization hierarchy
• Semester taught
  • Fall 2025

ISEN 320: Operations Research I

• Main topics
  • Linear optimization modeling, simplex methods, duality theory
  • Introduction to integer optimization: modeling and solution methods
  • Graphs and networks: modeling and some algorithms
• Semesters taught
  • Spring 2025
  • Fall 2024
  • Fall 2023

ISEN 623: Nonlinear and Dynamic Programming

• Main topics
  • Unconstrained and constrained optimality conditions
  • Basic descent methods: line search and trust region methods
  • First-order descent methods: conjugate gradient and quasi-Newton methods
  • Overview of constrained optimization algorithms
• Semester taught
  • Spring 2024