15.057 Systems Optimization

Spring 2003

Example of a network formulation.
Example of a network formulation. (Courtesy of Prof. John Vande Vate.)

Course Highlights

The course uses a combination of lectures, case discussions, selected readings, an accompanying textbook, hands-on projects and optimization challenges. It involves a group project that provides students with an opportunity to consider topics that might not otherwise be covered in the course and to tailor the course offerings for their own interests. It also provides an opportunity for them to dig deeper into their areas of interest.

Course Description

Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems. This course is an application-oriented introduction to (systems) optimization. It seeks to:
  • Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations;
  • Show how several application domains (industries) use optimization;
  • Introduce optimization modeling and solution techniques (including linear, non-linear, integer, and network optimization, and heuristic methods);
  • Provide tools for interpreting and analyzing model-based solutions (sensitivity and post-optimality analysis, bounding techniques); and
  • Develop the skills required to identify the opportunity and manage the implementation of an optimization-based decision support tool.

Technical Requirements

Microsoft Access software is recommended for viewing the .mdb files found on this course site. Free Microsoft Access viewer software can also be used to view the .mdb files.
Microsoft Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft Excel viewer software can also be used to view the .xls files.
Any number of programs can be used to run the .mod files found on this course site. Please refer to the course materials for any specific instructions or recommendations.

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Staff

Instructor:
Prof. John Vande Vate

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Graduate