Systems Optimization OpenCourseWare: MIT's Free Online Graduate Level Class on Systems Optimization
In this 'Systems Optimization (Models and Computation)' course from MIT's Sloan School of Management, students learn about modeling and optimization of large-scale systems for manufacturing, logistics and telecommunications. Students pursuing a Master of Science in Engineering and Management degree through the MIT system design and management program are required to take this class. Many of the course materials for 'Systems Optimization (Models and Computation)' can be accessed free at MIT's OpenCourseWare website.
Systems Optimization (Models and Computation): Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | Yes | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Systems Optimization (Models and Computation): Course Description
'Systems Optimization (Models and Computation)' was taught by Professors Robert Freund, Jie Sun and Thomas Magnanti to graduate level students in the system design and management program offered by MIT's Sloan School of Management. Students in this graduate course learn cutting-edge systems modeling techniques like linear and discrete optimization, post-optimality analysis and heuristic methods. 'Systems Optimization (Models and Computation)' also teaches management students to apply these techniques to a variety of large-scale system domains ranging from manufacturing and telecommunications to financial engineering and structural design. 'Systems Optimization (Models and Computation)' students also encounter topics like column generation, pattern classification and optimization under uncertain conditions. 'Systems Optimization (Models and Computation)' was originally a lecture class.
'Systems Optimization (Models and Computation)' OpenCourseWare contains access to downloadable lecture notes and problem sets. To get more information about this 'Systems Optimization (Models and Computation)' course, navigate to the optimization course page.
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