Operations research (OR) is an analytical method of problem-solving and decision-making that is useful in the management of organizations. Analytical methods used in OR include mathematical logic, simulation, network analysis, queuing theory, and game theory. Some Techniques of Operations Research include:

  • Linear Programming,
  • Transportation Problem,
  • Assignment Problem,
  • Queuing Theory,
  • Game Theory,
  • Inventory Control Models, and
  • Goal Programming.

The list of possible elective courses in this specialized area is not limited to the list below; and the list is expanded on a continuing basis; courses not in the list can be accepted as elective subject to the approval of the student's adviser.

Possible Elective Courses @ METU
  • IAM524 - Financial Economics
  • IAM525 - Game Theory
  • IAM528 - Markov Decision Processes
  • IAM542 - Stochastic Processes
  • IAM547 - Risk Management and Insurance
  • IAM548 - Stochastic Processes for Insurance and Finance
  • IAM550 - Portfolio Optimizatiom
  • IAM555 - Statistical Decision Theory
  • IAM557 - Statistical Learning and Simulation
  • IAM585 - Decision-Making Under Uncertainty
  • IAM664 - Inverse Problems
  • IAM665 - Advanced Continuous Optimization
  • IAM745 - Special Topics: Stochastic and Deterministic Optimal Control with Applications to Finance
  • IAM771 - Special Topics: Optimization Methods for Machine Learning
  • IE553 - Linear Optimization
  • IE554 - Discrete Optimization
  • IE555 - Nonlinear Optimization
  • IE558 - Multiobjective Decision Making
  • IE560 - Stochastic Programming
  • IE717 - Constraint Programming
  • IE4904 - Special Topics in IE: Multi-objective Combinatorial Optimization
  • IE4909 - Analysis and Optimization Methods in Finance
  • IE4910 - Game Theory and Economical Decision Analysis
  • IE4912 - Special Topics in IE: Stochastic Optimization with Applications

Last Updated:
16/02/2020 - 17:12