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Course Info

  • Course Number / Code:
  • 1.142J (Spring 2004) 
  • Course Title:
  • Systems Optimization: Models and Computation (SMA 5223) 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Sloan School of Management 
  • Course Instructor(s):
  • Prof. Robert Freund
    Prof. Jie Sun
    Prof. Thomas Magnanti 
  • Course Introduction:
  •  


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



    Spring 2004




    Course Highlights


    This course features a comprehensive set of lecture notes, covering topics from basic principles such as Linear Optimization to sophisticated real-world applications. Also, there is a complete set of problem sets in the assignments section.


    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).

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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