ADTA 5610 - Applied Probability Modeling for Data Analytics

3 hours

Introduction to fundamental concepts and methods of probability modeling, emphasizing applications and simulation. Topics include probability axioms and models, conditional probability, independence, discrete and continuous random variables, law of large numbers, central limit theorem, and stochastic processes. Concepts are applied to develop and simulate models to solve important problems in business, industry, and science, using real-world data to inform model development.

Prerequisite(s):

Undergraduate probability or statistics course, or ADTA 5130, or consent of instructor.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $24.68