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Viewing: EMSE 3760 : Discrete Systems Simulation

Last approved: Tue, 09 May 2017 08:02:09 GMT

Last edit: Mon, 08 May 2017 00:14:46 GMT

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School of Engineering and Applied Sciences
Engineering Management and Systems Engineering (EMSE)
EMSE
3760
Discrete Systems Simulation
Discrete Systems Simulation
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade
undergraduate students majoring in systems engineering or with the permission of the instructor
No
No
EMSE 3740W
Corequisites

25
J. R. van Dorp
Frequency of Offering
Every Year
Term(s) Offered
Fall
Are there Course Equivalents?
No
 
No
Fee Type


No


Modeling of the operation of service systems using the discrete event simulation paradigm; theoretical topics including random variable sampling, input distribution fitting, model verification and validation, and aleatory and epistemic uncertainty in the simulation output analysis context.
Upon completion of this course, students should be able to (1) Understand how computer simulation can be used to model complex systems and solve related decision problems (2), understand the assumptions made in building a discrete event simulation, (3) understand and apply statistical methods used in simulation analysis, (4) perform sensitivity analyses to test the effects of critical model parameters, (5) be able to run a simulation project from start to finish.
Uploaded a Course Syllabus

Course Attribute


riffat (Wed, 15 Feb 2017 16:20:24 GMT): Rollback: Please include Independent Learning statement in syllabus.
gharris (Tue, 28 Feb 2017 00:16:56 GMT): Rollback: Something happened to the class schedule on the syllabus; it looks like it may be an image, and it got distorted and cut off? Please correct and resubmit.
Key: 2726