CMPE 107
- Winter 2008
- Fall 2007
- Winter 2007
- Fall 2006
- Winter 2006
- Fall 2005
- Winter 2005
- Fall 2004
- Winter 2004
- Fall 2003
- Winter 2003
- Fall 2002
- Spring 2002
- Fall 2001
- Spring 2001
- Winter 2000
- Fall 1999
- Spring 1999
- Fall 1998
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. R. Manduchi, A. Brandwajn
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