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Course Info

  • Course Number / Code:
  • 6.431 (Spring 2006) 
  • Course Title:
  • Probabilistic Systems Analysis and Applied Probability 
  • Course Level:
  • Undergraduate / Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Munther Dahleh 
  • Course Introduction:
  •  


  • 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability



    Spring 2006




    Course Highlights


    This course features various probability-related simulations in the tools section. A complete set of lecture notes and assignments with solutions are also available.


    Course Description


    This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.



    Technical Requirements


    Special software is required to use some of the files in this course: .java, .m, .wmv, and .zip.

     

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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