Syllabi IE 312 Optimization 1. IE312, Optimization 2. Construction and optimization of mathematical models for systems using linear programming and goal programming plus post optimality for evaluation results.
Optimization uses mathematical techniques to assist in the solution of real-world problems.
Students learn how to formulate complex problems into mathematical models, and identify the appropriate techniques for solving various types of models. Students develop skills in solving optimization problems by using commercial software packages, since these are by far the most common tool for solving such problems in practice. Students also learn how to apply their mathematical knowledge of linear algebra and calculus to solve small problems by hand. Students learn how to interpret the solutions of their mathematical models and how to analyze the impact of changes to the model's parameters and assumptions. The techniques used in this course can be applied to a broad range of problems that are relevant in the control of production and service systems.