Introduction To Optimization And Operations Research

Catalog description

This is an introductory course in operations research (OR), a mathematical approach to problem solving and decision making. OR has many applications spreading over various fields in science, engineering, economics and public systems. This course introduces some fundamental tools of OR to formulate, analyze, and solve mathematical models representing real life problems. This course covers linear programming (LP), network analysis, dynamic programming, and decision analysis. Selected topics from other areas such as integer programming, optimal control, Markov models, and game theory may be covered. Prerequisite(s): MA 26500 FOR LEVEL UG WITH MIN. GRADE OF C- Course Learning Outcomes 1. Formulate real-world problems as appropriate mathematical programming models (for example, linear programming, network model, etc.). 2. Solve linear programming, network analysis, integer programming, Markov chains, and decision analysis problems by applying appropriate operations research techniques and algorithms. 3. Apply software for solving optimization problems. 4. Apply operations research techniques to real world contexts and interpret the results. View Class Schedule