Advanced Operations Research
Teaching · IE 5301 · UT Arlington · 2023–
A survey of quantitative methods for modeling and decision-making, deterministic and stochastic, for graduate students.
Topics
- Linear, integer and convex programming: simplex, interior point, branch-and-bound
- Network analysis, facility location, and transportation and assignment problems
- Nonlinear and multi-objective programming, and game theory
- Decision trees and Monte Carlo simulation
- Markov chains and queuing theory
How it is taught and assessed
- Exams on deterministic and stochastic operations research, and a final (60%)
- A team project that applies the course to a dataset, with a report and presentation (25%)
- Homework, mostly computer assignments done in groups (10%)
- Quizzes and short assignments (5%)
Tools. Optimization modeling in Python and Excel; stochastic modeling, visualization and reports in R and R Markdown.
Textbook
Operations Research: An Introduction, 10th edition, Hamdy Taha free through the UTA library