This course covers counting techniques, axiomatic definition of probability, conditional probability, independence of events, Bayes Theorem, random variables, discrete and continuous probability distributions, expected values, moments and moment generating functions, joint probability distributions, functions of random variables, covariance and correlation. Included is a computational lab component to discuss applications of probability and statistics to solving problems in Computer Science using MATLAB. Note: Only one course, Math 3031 (0233) or Math 3033, can be credited towards graduation.