Probabilistic Systems Analysis and Applied Probability

Dice of different shapes and colors.

Dice of various shapes; Lecture 1 discusses rolls of a tetrahedral die. (Photograph courtesy of aranarth on Flickr.)

Instructor(s)

MIT Course Number

6.041 / 6.431

As Taught In

Fall 2010

Level

Undergraduate / Graduate

Cite This Course

Course Features

Course Description

Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example:

  • The concept of statistical significance (to be touched upon at the end of this course) is considered by the Financial Times as one of "The Ten Things Everyone Should Know About Science".
  • A recent Scientific American article argues that statistical literacy is crucial in making health-related decisions.
  • Finally, an article in the New York Times identifies statistical data analysis as an upcoming profession, valuable everywhere, from Google and Netflix to the Office of Management and Budget.

The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition.

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Tsitsiklis, John. 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010 (Accessed). License: Creative Commons BY-NC-SA


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