Introduction to Optimization

edX MOOC / Non-credit USD 54

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Introduction to Optimization

About this course

A self-contained course on the fundamentals of modern optimization with equal emphasis on theory, implementation, and application. We consider linear and nonlinear optimization problems, including network flow problems and game-theoretic models in which selfish agents compete for shared resources. We apply these models to a variety of real-world scenarios.

What you'll learn

understand and apply linear and nonlinear optimization techniques
analyze network flow problems
utilize game-theoretic models in resource allocation situations

Course objectives

provide a solid foundation in optimization theory
develop practical skills in implementing optimization solutions
explore applications of optimization in real-world scenarios

Skills you'll gain

resource allocation decision making quantitative analysis optimization linear programming game theory algorithm design nonlinear programming network flow math for optimization

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