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394R Applied Probability (3) Basic concepts of probability theory. Counting and measuring. Probability, conditional probability and independence. Discrete, continuous, and multivariate random variables. Functions of random variables. Sums of independent random variables and transform methods; random number generation and random event generation. Law of large numbers, central limit theorem, inequalities. Their applications to CS and ECE areas are stressed. Prerequisites: CS 201,or ECE 216, MATH 250, MATH 235 or ECE341
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