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Course Info

  • Course Number / Code:
  • 15.06 (Fall 2007) 
  • Course Title:
  • Data, Models, and Decisions 
  • 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. David Gamarnik
    Prof. Andreas Schulz 
  • Course Introduction:

  • 15.060 Data, Models, and Decisions

    Fall 2007

    Course Highlights

    15.060 Data, Models, and Decisions

    Fall 2007

    A decision tree diagram.
    This course uses tools such as decision trees to draw conclusions from data. (Figure by MIT OpenCourseWare, adapted from the Data, Models, and Decisions textbook.)

    Course Description

    This course is designed to introduce first-year MBA students to the fundamental quantitative techniques of using data to make informed management decisions. In particular, the course focuses on various ways of modeling, or thinking structurally about, decision problems in order to enhance decision-making skills. Topics include decision analysis, probability, random variables, statistical estimation, regression, simulation, linear optimization, as well as nonlinear and discreteoptimization. Management cases are used extensively to illustrate the practical use of modeling tools to improve the management practice.

    Recommended Citation

    For any use or distribution of these materials, please cite as follows:

    Robert Freund, David Gamarnik, and Andreas Schulz, course materials for 15.060 Data, Models, and Decisions, Fall 2007. MIT OpenCourseWare (, Massachusetts Institute of Technology. Downloaded on [DD Month YYYY].


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

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