MATH 3552

(3 Credits) 3 Lecture hours, 1 Tutorial hour This course provides a foundation in probabilistic thinking, with an emphasis on conceptual understanding and applications. Topics include conditional probability, Bayes' Theorem, discrete and continuous random variables, and important probability distributions. Covariance, correlation, and moment-generating functions are also studied. Statistical software is used to bridge probability theory with simulation and applications.