Systems Optimization (Models and Computation) OpenCourseWare: A Free Graduate Level MIT Course on Systems Optimization

Published Jan 12, 2009

RSS Feed

'Systems Optimization: Models and Computation' is OpenCourseWare offered by MIT through its Sloan School of Management and the Singapore-MIT Alliance (SMA). Engineering, computer science, information technology and systems management students may find this course useful. The course (it's free) looks at techniques and tools to create large-scale decision-making systems and their optimization.

Systems Optimization (Models and Computation): Course Specifics

Degree Level Free Audio Video Downloads
Graduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes No

Systems Optimization (Models and Computation): Course Description

Systems optimization, a concept of systems engineering, is the combination of methods, procedures and techniques used to make a decision among many competing alternatives given a set of criteria. The goal in systems optimization is to create the best possible system with the least amount of drawbacks. This broad field has many applications from structural design and transportation systems to economics and power systems. Specific applications to systems optimization in this course, include planning of telecommunications systems, financial engineering, mining of data, classifying of patterns, logistics planning, supply-chain management, large systems scheduling and structure design. Students in engineering, computer science, information technology and management would benefit from this course. Professors Robert Freund, Jie Sun and Thomas Magnanti taught the original course through Sloan School of Management at MIT.

Included with 'Systems Optimization: Models and Computation' are assignments, some lecture notes and computational and model problems. To find out how you can plan a large transportation system (i.e. routes) for a city, visit the large systems modeling and optimization course page.

Featured School Choices: