CMTH 304 - Probability

Course Description

Topics include: Elements of Probability Theory. Discrete Probability Distribution (Hyper-geometric, Binomial, Poisson). Normal Distribution and its applications. Lognormal Distribution, Multivariate Distributions, Covariance and Correlation, Moment Generating Functions, Central limit theorem and applications. Computer programming is an essential part of this course. Students will understand the concepts of this course both theoretically and through the use of computers.

Requisites

Prerequisites: (CMTH 310 or MTH 240 or CMTH 231) and (CPS 118 or CPS 106 or CCPS 109)
Antirequisite: MTH 410 and CMTH 380

Relevant Programs

Applied Analytics and Statistics for 21st Century Decision-Making : Required Courses (Option 1)
Financial Predictive Data Analytics : Electives (select 2)
Professional Healthcare Careers Foundations : Required Courses (select 3)
Science, Technology, Engineering, and Mathematics (STEM) : Electives (select 2)