Systems Optimization: Models and Computation (SMA 5223)

An image depicting transportation demand and solutions.

An image of transportation demand and computational solutions. (Image courtesy of Andreas Schulz.)

Instructor(s)

MIT Course Number

15.094J / 1.142J

As Taught In

Spring 2004

Level

Graduate

Cite This Course

Course Features

Course Description

This class is an applications-oriented course covering the modeling of large-scale systems in decision-making domains and the optimization of such systems using state-of-the-art optimization tools. Application domains include: transportation and logistics planning, pattern classification and image processing, data mining, design of structures, scheduling in large systems, supply-chain management, financial engineering, and telecommunications systems planning. Modeling tools and techniques include linear, network, discrete and nonlinear optimization, heuristic methods, sensitivity and post-optimality analysis, decomposition methods for large-scale systems, and stochastic optimization.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5223 (System Optimisation: Models and Computation).

Archived Versions

Sun, Jie, Robert Freund, and Thomas Magnanti. 15.094J Systems Optimization: Models and Computation (SMA 5223), Spring 2004. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/sloan-school-of-management/15-094j-systems-optimization-models-and-computation-sma-5223-spring-2004 (Accessed). License: Creative Commons BY-NC-SA


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