ISE 6300
Transcript Abbreviation
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Course Description:
Students learn how to collect data and perform input analysis, model systems using discrete-event simulation, and inform system design decision-making through defensible output analysis.
Course Levels
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Designation
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General Education Course
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Cross-Listings
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Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
Off
Maximum Repeatable Credits:
3.00
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
(N/A)
Prerequisites and Co-requisites:
Prereq: Stat 3470 or equiv, and Calculus-based Probability.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 730.
Course Goals / Objectives:
Develop an appropriate probabilistic model from a verbal description of a problem
Extract relevant information from various types of models
Apply appropriate software to obtain insights for a real world problem using discrete event simulation
Execute defensible data collection, input modeling and output analysis for discrete event simulation modeling
Generate ideas for system redesign and evaluate them defensibly using simulation
Check if concurrence sought:
No
Contact Hours
(N/A)
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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