CMPE107: Probability and Statistics for Engineers (formerly Math Systems: Stochastic)

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

Introduction to fundamental tools of stochastic analysis. Probability, conditional probability, Bayes Theorem, random variables, independence, Poisson processes, Bernnoulli trials, and Markov chains. Instructor's choice of additional topics, most likely drawn from confidence measures, difference equations, transform methods, stability issues, applications to reliability, queues, and hidden Markov models. Students cannot receive credit for this course and Applied Mathematics and Statistics 131. Prerequisite(s): course 16 or 16H and Mathematics 22 or 23A. (General Education Code(s): SR.) A. Brandwajn, R. Manduchi, JJ Garcia-Luna-Aceves

5 Credits

YearFallWinterSpringSummer
2016-17
2015-16
  • Section 01
    Alexandre Brandwajn (abrandwa)
    Summer Session 2 (5 Weeks)
2014-15
2013-14
2012-13
2011-12
2010-11
2009-10
2008-09
  • Section 01
    Alexandre Brandwajn (abrandwa)
    Lockheed Section Only
2007-08
2006-07
  • Section 01
    Alexandre Brandwajn (abrandwa)
    Telecast
2005-06
2004-05
2003-04
2002-03
2001-02
2000-01
1999-00
1998-99

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