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.

MSE 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. (See IE 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 Material Science/Engineering Department

MSE 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. (See IE 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

Material Science/Engineering Department

Return to Previous	New Search		XML Extract

Skip to top of page

University of Tennessee

Catalog Entries

© 2024 Ellucian Company L.P. and its affiliates.

Catalog Entries		Fall Sem 2020 28-Apr-2024