Courses:

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:
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  15.060 Data, Models, and Decisions
  
  
  
  

  Fall 2007

  
  
  

  
  
  

  Course Highlights

  
  
  

  
  
  15.060 Data, Models, and Decisions
  
  
  
  

  Fall 2007

  
  
  

  

  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 (http://ocw.mit.edu), Massachusetts Institute of Technology. Downloaded on [DD Month YYYY].