MATH 3552 - Probability

Credit(s): 3
Lecture Hour(s): 3
Lecture Hours Schedule Type: Lecture
Tutorial Hour(s): 1

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.

Prerequisite(s): MATH 1200, MATH 1203, one of MATH 2233 or MATH 2234 or MATH 2233, and one of MATH 2071 or MATH 1271, all with grades of C- or higher.
General Science Option