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Description: Development and application of probabilistic analytical methods including Markov chains, queueing systems and digital simulation modeling.
PREREQUISITES
MATH 304 and STAT 212
COURSE OBJECTIVES
To introduce some basic concepts of random processes and stochastic modeling.
TEXTBOOK AND ADDITIONAL COURSE MATERIAL
Textbook: Feldman and Valdez-Flores, Applied Probability and Stochastic Processes (1996).
TOPICAL OUTLINE
Review of Probability
Markov Chains
Simulation (very brief)
Markov Processes
Queueing Theory
InventoryCLASS SCHEDULE
Lecture: two 75 minute periods per week
PROFESSIONAL COMPONENT
This course provides an introduction in the use of probabilistic models for the analysis of various systems. It is expected that this course will prepare students to include probabilistic reasoning in their approach to problem solving.
PROGRAM OUTCOMES
A. An ability to apply knowledge of mathematics, science, and engineering.
The purpose of the course is to teach the application of mathematics (probability) to engineering problems. Evaluation Method: Tests and quizzes.
PREPARED BY: R. M. Feldman DATE: October 2004
