UIC Office of Academic Affairs - Course Request System
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COURSE REQUEST SYSTEM - PRODUCTION
UPDATE PENDING REQUEST
8/31/2011
Course: IE 473 Version: 1 Title: Stochastic Processes & Queuing
User Unit Code: 99999
Date Entered: 8/2/2011 12:29:13 PM
by Houshang Darabi, Associate Professor
Last Modified: 8/31/2011 3:36:35 PM
by Kim Neumann, Assistant Director
General reason for this request:
Adding this course as a required course for IE Program.
This request should be processed at the same time as the following related academic program request(s):
Industrial Engineering Program Revision
Requested type of approval and effective date:
Permanent approval effective Spring semester, 2012
Course Subject (Rubric): IE / Industrial Engineering
Primary Unit: Mechanical and Industrial Engineering
Course Number: 473
Course Version: 1
Course Title: Stochastic Processes and Queuing Models
Short title: Stochastic Processes & Queuing
Course Description:
Stochastic dynamic systems, queuing networks, probabilistic state transition models and nondeterministic decision
making models.
Notes to Students:
None
Cross Listings:
None
Previous Course Number and/or Subject:
None
Expected Registration:
Junior and senior undergraduate
Graduate College
Type of Course:
Requirement for the following programs: BS in Industrial Engineering
Course Learning Outcomes:
Students will be able to apply stochastic and nondeterministic models to different industrial engineering applications.
Course Learning Outcome Assessment Methods:
Examinations and homework asignments will measure the success of students in applying the stochastic models to the
different industrial engineering applications.
Purpose of this course in relation to overall curriculum and relationship to other courses offered by primary
unit:
The purpose is to train the students in modeling and analysis of stochastic dynamic systems. These systems are
present in almost every industrial engineering application.
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Relationship of this course to similar courses offered by other academic units:
None.
Major Topics:
1-Introduction to Probability (2)
2-Poisson Process(3)
3-Markov Chains(7)
4-Markov Decision Process (2)
5-Continuous Time Markov Chains (6)
6-Renewal Theory (6)
7-Queuing Theory (11)
8-Brownian Motion and Stationary Processes (5)
9-Examinations (3)
Total - 45 hours
Sample Sources and Resource Materials:
Introduction to Probability Models, Sheldon Ross 9th Edition, 2006.
Prerequisite(s):
IE 342 and IE 471 and MATH 220.
Recommended Background:
None
Corequisites:
None
Restrictions:
Restricted to students in the following colleges/schools: Engineering or Graduate College.
Credit Restrictions:
None
Credit Hours:
3 undergraduate hours; 4 graduate hours.
Type of Instruction:
Type of Instruction
Contact Hours/Week Over 15-Week Term
Lecture-Discussion
3
Grading Mode: Normal
Sign-Offs:
To be forwarded for review, sign-off, and comment to the following administrators:
Chairperson(s) or director(s) of department(s) or unit(s):
None
Dean(s) of college(s) or school(s):
None
Comments related to request for sign-off:
None
Frequency of Offering:
No response
Special Technology or Equipment Support Request:
None
Faculty Proposer(s):
Houshang Darabi
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PRIMARY DEPARTMENT APPROVAL STATUS
APPROVED for Mechanical and Industrial Engineering by Houshang Darabi, Associate Professor on 8/3/2011
4:02:58 PM
PRIMARY COLLEGE APPROVAL STATUS
APPROVED for Engineering by Michael McNallan, Associate Dean on 8/22/2011 10:50:52 AM
OFFICE OF VICE CHANCELLOR FOR ACADEMIC AFFAIRS APPROVAL STATUS
NOT YET APPROVED
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