# Systems Optimization: Models and Computation (SMA 5223)

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

### Instructor(s)

Prof. Jie Sun

Prof. Robert Freund

Prof. Thomas Magnanti

### MIT Course Number

15.094J / 1.142J

### As Taught In

Spring 2004

### Level

Graduate

###

Some Description
Instructor(s) | Prof.
As Taught In | Spring 2002
Course Number | 2.24
Level | Undergraduate/Graduate
Features | Lecture Notes, Student Work

## Course Description

## Course Features

- Selected lecture notes
- Assignments: problem sets (no solutions)

## 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).

## Other Versions

## Other OCW Versions

Archived versions:

- 15.094 Systems Optimization: Models and Computation (Spring 2002)

## Related Content

## Course Collections

See related courses in the following collections:

### Find Courses by Topic

- Systems Engineering > Computational Modeling and Simulation
- Systems Engineering > Systems Optimization
- Computation
- Computer Science > Data Mining

Jie Sun, Robert Freund, and Thomas Magnanti. 15.094J Systems Optimization: Models and Computation (SMA 5223). Spring 2004. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

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