ISE 4633 - Probabilistic Systems Models

Description
Prerequisite: I E 3293 or ISE 3293 AND I E 4623 or ISE 4623. Problem solving using stochastic models: theory, methodology, and application. Topics include probability distributions, Poisson processes, Markov chains and Markov decision processes, queuing theory, and Monte Carlo simulation. Practical applications in probabilistic inventory models, maintenance activities, decision making, and systems integration. Solution methods using computer software. (Sp)
Credits
3
Attributes
Engineering Course, Norman Upper Div Crse, Undergrad Upper Division Crse, Undergrad Engineering Crse
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Spring 2019, Spring 2018, Spring 2017, Spring 2016
Offered
TuTh, TuThF
Avg. Class Size
90
Avg. Sections
1