Catalog Entries

Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

IE 483 - Intro/Reliability Engr
Probabilistic failure models and parameter estimation (maximum likelihood, Bayes techniques). Model identification and comparison, accelerated life tests, failure prediction, system reliability, preventive maintenance, and warranties. (Same as CBE 483; MSE 483; ME 483; NE 483.) (RE) Prerequisite(s): IE 200, CBE 301, ECE 313, MATH 323, MSE 301, or STAT 251. 3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Industrial/Systems Engineering Department

IE 483 - Intro/Reliability Engr

Probabilistic failure models and parameter estimation (maximum likelihood, Bayes techniques). Model identification and comparison, accelerated life tests, failure prediction, system reliability, preventive maintenance, and warranties. (Same as CBE 483; MSE 483; ME 483; NE 483.) (RE) Prerequisite(s): IE 200, CBE 301, ECE 313, MATH 323, MSE 301, or STAT 251.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Lecture

Industrial/Systems Engineering Department

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Catalog Entries

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Catalog Entries		Fall Sem 2020 01-May-2024