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Spring 2023 Offering of STAT-3501

STAT-3501 Simulation

This course is designed to show students how a computer can be utilized to model phenomena with stochastic elements and how analysis can be carried out in the context of a simulation study. Topics will be drawn from the following: generating an arbitrary random variable; the discrete event simulation approach; variance reduction techniques; statistical validation techniques; bootstrapping and other resampling methods; statistical analysis of simulated data; and simulation languages.

Professor:  Jeff Babb

Times:  M/Tu/W/Th 10:00-11:15 am in 4M46

              May 01 – June 12, 2023

Prerequisites:  STAT-2612 or MATH-2612 (or the former MATH-3611 or STAT-3611) and STAT-2903 or permission of the instructor - Must be completed prior to taking this course.