Course Syllabus

SIE 321 - Probabilistic Models in Operations Research

Spring Semester 1998

1997-98 Catalog Data:

SIE 321 - Probabilistic Models in Operations Research (3) Probability, Markov chains, Poisson processes, queuing models, reliability models. 3ES. P, 230.

Text Book:

Ross, S. M., Introduction to Probability Models

References:

Feldman, R. M. and C. Valdez-Flores, Applied Probability and Stochastic Processes.

Hillier, F. S. and G. J. Lieberman, Introduction to Operations Research.

Instructor:

J. L. Higle, Associate Professor of Systems and Industrial Engineering

Prerequisites by Topic:

  1. Axioms of probability
  2. Common discrete and continuous distributions
  3. Independence
  4. Conditional probability
  5. Expectations

Method for Assessing Student Knowledge of Prerequisite Topics:

On the first day of class, an assignment designed to test facility with prerequisite material will be distributed. Results will be evaluated and the instructor will consult with individual students, if necessary.

Goals:

Overall Educational Goal:

The objective of SIE 321 is to familiarize students with some of the probabilistic models available for the solution of stochastic industrial and engineering problems.

Specific Instructional Goals:

  1. Be able to develop an appropriate probabilistic model from a verbal description of a problem.
  2. Have an understanding of the restrictions associated with various modeling assumptions.
  3. Be able to extract relevant information from various types of models.

Course Topics:

  1. Review Of Basic Probability: Axioms of Probability
  2. Discrete Distributions, Continuous Distributions (6 classes)
  3. Computing Probabilities And Expectations by Conditioning (5 classes)
  4. Introduction to Stochastic Processes (1 class)
  5. Markov Chains: Transition Probabilities, Chapman-Kolmogorov Equations, Limiting Distributions, Examples (8 classes)
  6. Poisson Processes: Definition, Properties, Examples (9 classes)
  7. Queuing Theory: Poisson Queues, Little’s Result, Networks of Queues (13 classes)

Class Requirements:

  1. Three lecture sections per week
  2. Approximately 10 homework assignments per semester
  3. Two examinations and a final

Computer Usage:

Limited to calculation simplification

Laboratory Projects: None

Assessment of Course Goals:

  1. Class examinations
  2. Homework evaluation

Contribution to professional component:

1.

Mathematics or Basic Science

0

credits

2.

Engineering Science or Design

3

credits

3.

General Education Requirements

0

credits

4.

Major Design Experience

0

credits

Contribution to program objectives: Goals 1

Prepared by: J. L. Higle   Date: April 14, 1998

 


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The University of Arizona
October 30, 1998
Systems and Industrial Engineering

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