ISE 4100
Transcript Abbreviation
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Course Description:
Methods for stochastic process and discrete event simulation modeling and system design and decision-making using simulation tools.
Course Levels
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Designation
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General Education Course
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Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
4.00
Max Credit Hours:
4.00
Select if Repeatable:
Off
Maximum Repeatable Credits:
4.00
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes
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Prerequisites and Co-requisites:
Prereq: 2400 and Stat 3470, and enrollment in Industrial & Systems Engineering major; or permission of instructor.
Electronically Enforced:
No
Exclusions
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Course Goals / Objectives:
Plan and execute defensible data collection and analysis for discrete event simulation modeling
Apply discrete event simulation software and explain what it is doing
Generate ideas for system redesign and evaluate them defensibly using simulation
Apply ARENA software to provide insights for a real world problem and explain the
benefits of ARENA compared with alternative software
benefits of ARENA compared with alternative software
Apply software to analyze inputs to and outputs from simulation models
Check if concurrence sought:
No
Contact Hours
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Grading Plan:
Letter Grade
Course Components:
Lecture
Lab
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| No Grade Breakdown Entered. | |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| No Textbooks and Other Course Materials Entered. | ||
ABET-CAC Criterion 3 Outcomes
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ABET-ETAC Criterion 3 Outcomes
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ABET-EAC Criterion 3 Outcomes
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Embedded Literacies Info
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Attachments
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Additional Notes or Comments
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