Archived Versions

15.094J / 1.142J Systems Optimization: Models and Computation (SMA 5223)

As taught in: Spring 2004

An image depicting transportation demand and solutions.

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




Prof. Jie Sun

Prof. Robert Freund

Prof. Thomas Magnanti

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).