STAT 7020:Statistical Computing and Simulation

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: Admission to the MSAS Program
Topics will include stochastic modeling, random number generators based on probability distributions, discrete-event simulation approaches, simulated data analysis, nonparametric analysis and sampling techniques. Given the importance of the SAS software to these types of applications, students will, by definition, refine and improve their SAS programming skills. The class will utilize real-world datasets from a variety of disciplines including, finance, manufacturing and medicine.