Available fall term
OSU catalog link
MTH 306 or MTH 341
422 Rogers Hall
A first course in operations research. Topics include mathematical programming formulations and solutions, the simplex method, network optimization, introduction to metaheuristics, and linear programming under uncertainty.
- Mathematical programming formulations
- Using the computer to solve mathematical programs
- Simplex method for solving linear programs
- Special network optimization algorithms
- Probability concepts, queuing models
The student, upon completion of this course, will be able to:
- Formulate mathematical programming models for a variety of written case problems.
- Solve small linear programs manually using the simplex method.
- Identify different types of mathematical programming formulations such as linear, integer, and nonlinear models, and an understanding of their characteristics that determine solution approaches and feasibility.
- Apply specialized network algorithms to solve specific network optimization problems.
- Apply metaheuristic algorithms to difficult optimization problems.
- Apply sensitivity analysis to deal with uncertainty in linear programs, and identify different techniques that can be used to solve optimization problems under uncertainty.