Mar 28, 2024  
Undergraduate Record 2021-2022 
    
Undergraduate Record 2021-2022 [ARCHIVED RECORD]

SYS 3060 - Stochastic Decision Models


Effective Start Date: 08/01/2021
This is an introductory course on modeling probabilistic systems. The emphasis will be on model formulation and probabilistic analysis. Topics to be covered include general stochastic processes, discrete and continuous time Markov chains, the Poisson Process, Non-Stationary Poisson Processes, Markov Decision Processes, Queueing Theory, and other selected topics. Prerequisite: APMA 3100 or instructor permission.

Requisites: Students must have completed APMA 3100

Credits: 3