OR courses
58 courses · George Mason University · Fall 2026
- OR 335 — Discrete Systems Modeling and Simulation. 3 credits1 section
- OR 410 — Applied Deep Learning for Predictive Analytics. 3 credits1 section
- OR 438 — Analytics for Financial Engineering and Econometrics. 3 credits1 section
- OR 441 — Deterministic Optimization. 3 credits1 section
- OR 442 — Stochastic Models. 3 credits1 section
- OR 464 — Bayesian Artificial Intelligence. 3 credits1 section
- OR 481 — Numerical Methods in Engineering. 3 credits1 section
- OR 498 — Independent Study in Operations Research. 1-3 credits1 section
- OR 531 — Introduction to Analytics and Modeling. 3 credits1 section
- OR 538 — Analytics for Financial Engineering and Econometrics. 3 credits1 section
- OR 541 — Operations Research: Deterministic Optimization. 3 credits1 section
- OR 542 — Operations Research: Stochastic Models. 3 credits1 section
- OR 568 — Applied Predictive Analytics. 3 credits1 section
- OR 584 — Heterogeneous Data Fusion. 3 credits1 section
- OR 588 — Financial Systems Engineering I: Introduction to Options, Futures, and Derivatives. 3 credits1 section
- OR 603 — Sports Analytics. 3 credits1 section
- OR 604 — Data-driven Large-scale Optimization. 3 credits1 section
- OR 610 — Deep Learning for Predictive Analytics. 3 credits1 section
- OR 626 — Simulation Methods for Financial Analytics. 3 credits1 section
- OR 628 — Analytics for Portfolio Optimization. 3 credits1 section
- OR 635 — Discrete System Simulation. 3 credits1 section
- OR 638 — Machine Learning for Financial Engineering. 3 credits1 section
- OR 639 — AI Agents for Engineering Research. 3 credits1 section
- OR 640 — Global Optimization and Computational Intelligence. 3 credits1 section
- OR 641 — Linear Programming. 3 credits1 section
- OR 642 — Integer Programming. 3 credits1 section
- OR 643 — Network Modeling. 3 credits1 section
- OR 644 — Nonlinear Programming. 3 credits1 section
- OR 645 — Stochastic Processes. 3 credits1 section
- OR 646 — Stochastic Optimization. 3 credits1 section
- OR 647 — Queuing Theory. 3 credits1 section
- OR 649 — Topics in Operations Research. 3-6 credits1 section
- OR 651 — Military Operations Research I: Cost Analysis. 3 credits1 section
- OR 652 — Military Operations Research Modeling II: Effectiveness Analysis. 3 credits1 section
- OR 660 — Air Transportation Systems Modeling. 3 credits1 section
- OR 664 — Bayesian Artificial Intelligence. 3 credits1 section
- OR 670 — Metaheuristics for Optimization. 3 credits1 section
- OR 674 — Dynamic Programming. 3 credits1 section
- OR 675 — Reliability Analysis. 3 credits1 section
- OR 681 — Decision and Risk Analysis. 3 credits1 section
- OR 682 — Computational Methods in Engineering and Statistics. 3 credits1 section
- OR 683 — Principles of Command, Control, Communications, Computing, and Intelligence (C4I). 3 credits1 section
- OR 688 — Financial Systems Engineering II: Derivative Products and Risk Management. 3 credits1 section
- OR 690 — Optimization of Supply Chains. 3 credits1 section
- OR 699 — Masters Project. 3 credits1 section
- OR 719 — Graphical Models for Inference and Decision Making. 3 credits1 section
- OR 735 — Simulation and Artificial Intelligence. 3 credits1 section
- OR 741 — Advanced Linear Programming. 3 credits1 section
- OR 750 — Advanced Topics in Operations Research. 3 credits1 section
- OR 751 — Advanced Topics in Operations Research for Planning and Scheduling. 3 credits1 section
- OR 763 — Doctoral Research Methods and Scholarly Writing. 3 credits1 section
- OR 774 — Reinforcement Learning. 3 credits1 section
- OR 782 — Advanced Topics in Combinatorial Optimizations. 3 credits1 section
- OR 783 — Advanced Topics in Network Optimization. 3 credits1 section
- OR 784 — Advanced Topics in Nonlinear Programming. 3 credits1 section
- OR 799 — Master's Thesis. 1-6 credits1 section
- OR 842 — Models of Probabilistic Reasoning. 3 credits1 section
- OR 944 — The Process of Discovery and Its Enhancement in Engineering Applications. 3 credits1 section
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