AMS131: Introduction to Probability Theory

*****COURSES ARE SUBJECT TO CHANGE*****

Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and course 203 and Computer Engineering 107. Prerequisite(s): course 11B or Economics 11B or Mathematics 11B or 19B or 20B. (General Education Code(s): Q, SR - Statistical Reasoning)

5 Credits

YearFallWinterSpringSummer
2017-18
2016-17
2015-16
  • Section 01
    David Draper (draper)
    Summer Session 2
2014-15
2013-14
2012-13
2011-12
2010-11
2009-10
2008-09
2007-08
2006-07
2005-06
2004-05
2003-04
2002-03

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