Probability.  445  MATH 323  001  

Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Prerequisites: MATH 141 or equivalent. Restriction: Intended for students in Science, Engineering and related disciplines, who have had differential and integral calculus Restriction: Not open to students who have taken or are taking MATH 356 Associated Term: Fall 2017 Registration Dates: Apr 04, 2017 to Sep 19, 2017 Lecture Schedule Type Lecture Instructional Method 3.000 Credits View Catalog Entry

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