MATH-6203 Applied Probability

School of Computing, Analytics, and Modeling Dr. Perry College of Mathematics, Computing, and Sciences

Description

Topics include probability counting methods, discrete and continuous random variables and their distributions, expected value, sampling distributions, Central Limit Theorem, and normal approximation to the binomial.

Requisites

Prerequisites: MATH 1634 and MATH 2063 or MATH 4203

Course Hours

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00