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 and transforms; independence; Bernnoulli trials. Statistics, inference from limited data; outcomes of repeated experiments; applications to design; assessment of relative frequency and probability; law of large numbers; precision of measurements. Elements of stochastic processes, Poisson processes; Markov chains. Students cannot receive credit for this course and Applied Mathematics and Statistics 131. (Formerly Mathematical Methods of Systems Analysis: Stochastic.) Prerequisite(s): course 16 or 16H and Mathematics 22 or 23A. (General Education Code(s): SR.)

5 Credits

YearFallWinterSpringSummer
2017-18
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

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.