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ET 3640 Industrial Engineering Simulation 3.0 Credits

Covers stochastic techniques and application of computer simulation of existing or proposed real world systems and processes. Models of such systems or processes are often complex, precluding traditional analytical techniques. Students will build simulation models and do simulations with commercial simulation software, analyze and interpret the results, and to plan simulation studies.

College/Department: College of Engineering and Computing/Engineering Technology
Repeat Status: Not repeatable for credit
Prerequisites: (MATH 1801 [Min Grade: D] or STAT 201 [Min Grade: D]) and (ET 3120 [Min Grade: D] or MHT 226 [Min Grade: D])