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Course Info

  • Course Number / Code:
  • ESD.86 (Spring 2007) 
  • Course Title:
  • Models, Data and Inference for Socio-Technical Systems 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Engineering Systems Division 
  • Course Instructor(s):
  • Prof. Daniel D. Frey
    Prof. Richard C. Larson 
  • Course Introduction:

  • ESD.86 Models, Data and Inference for Socio-Technical Systems

    Spring 2007

    Course Highlights

    This course features complete lecture notes and assignments.

    Course Description

    In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.

    Technical Requirements

    Special software is required to use some of the files in this course: .m and .xls.


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

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