APPLIED PROBABILITY

A study of the basic principles of probability theory and their applications. Topics include combinational analysis, conditional probabilities, discrete and continuous random variables, and measures of centrality and variance. Emphasis is placed on applications using probability distributions (including binomial, geometric, Poisson, uniform, exponential, and normal distributions) to assess and manage risk in the fields of finance, insurance, medicine, and quality control. Prerequisite: MATH 251 with a grade C- or better.

Credits: 
3
Program Code: 
MATH
Course Number: 
314
Academic Program(s): 
Mathematics