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Computer Algorithms in Systems Engineering, Spring 2010

(Complete Item Description)

Abstract:: This course covers concepts of computation used in analysis of engineering systems. It includes the following topics: data structures, relational database representations of engineering data, algorithms for the solution and optimization of engineering system designs (greedy, dynamic programming, branch and bound, graph algorithms, nonlinear optimization), and introduction to complexity analysis. Object-oriented, efficient implementations of algorithms are emphasized.

Subject:: Mathematics and Statistics, Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

Data, Models, and Decisions, Fall 2007

(Complete Item Description)

Abstract:: This course is designed to introduce first-year Sloan students to the fundamental techniques of using data to make informed management decisions. In particular, we will focus on various ways of modeling, or thinking structurally about, decision problems in order to enhance decision-making skills.

Subject:: Business
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

Optimization Methods, Fall 2009

(Complete Item Description)

Abstract:: This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods.

Subject:: Mathematics and Statistics, Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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