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ISE 362 Stochastic Models in Industrial Engineering
Introduction to mathematical modeling, analysis, and solution procedures applicable to uncertain (stochastic) production systems. Methodologies covered include probability theory and stochastic processes. Applications relate to design and analysisof problems, capacity planning, inventory control, waiting lines, and system reliability and maintainability.
Prerequisite: C or better in ±õ³§·¡Ìý135 and (²Ñ´¡Ìý303 or ²Ñ´¡Ìý341) and C- or better in ³§°ÕÌý371 or ³§°ÕÌý370
Typically offered in Fall and Spring
Engineering Management (MR)
/graduate/engineering/engineering-management/engineering-management-mr/
...must complete ISE 362 or ISE/OR 560 (or equivalent) to enroll in ISE/OR...