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MATH 5100

Probability

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Course Description

Pre-Requisite(s): MATH 1320 or equivalent, and graduate standing

Studies the development and analysis of probability models through the basic concepts of sample spaces, random variables, probability distributions, expectations, and conditional probability. Additional topics include distributions of transformed variables, moment generating functions, and the central limit theorem. Credit cannot be received for both MATH 3100 and 5100.


  • Daria Snider
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    Summer 2014

  • Gregory Arone
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    Fall 2013

  • Radu Dascaliuc
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    Fall 2010

  • Tai Melcher
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    Fall 2010

  • Zoran Grujic
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    Summer 2016

  • Mikhail Ershov
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    Spring 2016

  • Hans Gromoll
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    Spring 2015

  • Benjamin Cooper
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    Fall 2011

  • John Imbrie
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    Spring 2016

  • Abdelmalek Abdesselam
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    Fall 2016

  • Todd Delong
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    Spring 2013

  • Xiang Wan
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    Summer 2017

  • Patrick Driscoll
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    Fall 2011

  • Rajinder Mavi
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    Fall 2012

  • Jeffrey Holt
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    Fall 2014

  • Luis Pereira
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    Fall 2015

  • Leonid Petrov
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    Fall 2015

  • Faculty Staff
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    Summer 2013

  • Aseel Farhat
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    Fall 2015

  • Axel Roddriguez
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    Fall 2016

  • Dmitriy Sonkin
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    Summer 2017