Optimal Decision Making I

Optimization problems arise whenever one seeks to use limited available resources in the best possible way to maximize profits, to minimize costs or, more generally, to find a "best" solution to a complex problem. Optimization applies to many functional fields of management (e.g., logistics and operations management, health care, marketing, accounting and finance), to several disciplines in science (e.g., computer science, mathematics, physics and biology), and to most fields in engineering.

The course will present the basic models and methods in Continuous Optimization, also known as Linear and Nonlinear Programming. Applications to functional areas of business and related fields will be introduced in class and in homework assignments, and solved using computer software.

The course will consist of lectures, case discussions, team homework assignments, and an individual final exam.

Instructor Biography – Maurice Queyranne

Course Outline – Class of 2018 (Updated September 6, 2017)

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