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Table of Contents - Applied Probability

COMP-SCI 394R Applied Probability

Basic concepts of probability theory. Counting and measuring. Probability, conditional probability and independence. Discrete, continuous, joint 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: Math 300, STAT 235, CS 201R, or ECE 216.

Faculty: School of Computing & Engineer

Department: Comp Sci & Elect Engr

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