AMS203: Introduction of Probability Theory

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

Introduces probability theory and its applications. Requires a multivariate calculus background, but has no measure theoretic content. Topics include: combinatorial analysis; axioms of probability; random variables (discrete and continuous); joint probability distributions; expectation and higher moments; central limit theorem; law of large numbers; and Markov chains. Students cannot receive credit for this course and course 131 or Computer Engineering 107. Enrollment restricted to graduate students, or by permission of the instructor.

5 Credits

YearFallWinterSpringSummer
2017-18
2016-17
2015-16
2014-15
2013-14
2012-13
2011-12
2003-04
2002-03
1998-99

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