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Course Info

  • Course Number / Code:
  • 22.38 (Fall 2005) 
  • Course Title:
  • Probability And Its Applications To Reliability, Quality Control, And Risk Assessment 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Nuclear Science and Engineering 
  • Course Instructor(s):
  • Prof. Michael Golay 
  • Course Introduction:
  •  


  • 22.38 Probability And Its Applications To Reliability, Quality Control, And Risk Assessment



    Fall 2005




    Course Highlights


    This course features a complete set of homework assignments and extensive lecture notes.


    Course Description


    This course covers interpretations of the concept of probability. Topics include basic probability rules; random variables and distribution functions; functions of random variables; and applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. The course also considers elements of statistics; Bayesian methods in engineering; methods for reliability and risk assessment of complex systems (event-tree and fault-tree analysis, common-cause failures, human reliability models); uncertainty propagation in complex systems (Monte Carlo methods, Latin Hypercube Sampling); and an introduction to Markov models. Examples and applications are drawn from nuclear and other industries, waste repositories, and mechanical systems.
     

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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