Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST415STATISTICAL RELIABILITY ANALYSISElective475
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to make the students comprehend the definition of reliability, understand the importance of real life relaibility problems, use the statistical methods in the evaluation of reliability, be informed of reliability data analysis, evaluate reliability for different system structures or reliability models.
Name of Lecturer(s)
Dr. Öğrt. Üyesi Funda İŞÇİOĞLU
Learning Outcomes
1To be able to comprehend the real life reliability problems.
2To discuss the concepts such as Quality, risk , etc. with regard to reliability
3To be able to undertsand the terminology of reliability and its mathematical basis.
4To be able to comprehend the importance of statistics in reliability analysis.
5To be able to use statistical methods in reliability analysis.
6To be able to associate life time distribution and the concept of reliability
7To be able to comprehend reliability data analysis.
8To be able to evaluate system reliability.
9To be able to make reliability analysis for different reliability models.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Introduction to reliability analysis, the importance of reliability, discussion of reliability with respect to some concepts such as quality, design, availability etc., the mathematical basis of reliability and reliability measure, concepts of reliability and its terminology, Life time distributions and parameter estimation, Reliability function estimation, Cencored data, System reliability models and reliability evaluation techniques, Specialized model structures such as stress-strength models, accelerated life models, mixed models, etc.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to reliability analysis, importance of reliability, its improvement, quality and reliability, concepts of availability and risk, real life problems
2Reliability Concepts and its terminology
3Measuring Reliability
4Lifetime Distributions and Reliability Characteristics
5Lifetime Distributions and Reliability Characteristics
6Reliability Function Estimation, Probability Plotting
7Parameter Estimation of Lifetime Distribution, Cencored Data
8Midterm Exam
9Modelling of System Reliability
10Modelling of System Reliability
11Coherent System Analysis
12Coherent System Analysis
13Coherent System Analysis
14Specialized models, load-strength models, competing risks, accelerated life models, mixed models
15Specialized models, load-strength models, competing risks, accelerated life models, mixed models
16Final Exam
Recommended or Required Reading
C. Ebeling, “An Introduction to Reliability and Maintainability Engineering”,2010, 2nd Edition, Waveland Press, Inc, ISBN 978-1-57766-625-7. Way Kuo and Ming, J. Zuo, “Optimal Reliability odelling:Principles and Applications”,2002, John Wiley & Sons, Inc. Alessandro Birolini, “Reliability Engineering:Theory and Practice”, 2013, Seventh Edition, ISBN 978-3-642-39535-2 (e-book), Springer.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Quiz122
Attending Lectures14342
Problem Solving14114
Individual Study for Homework Problems12020
Individual Study for Mid term Examination12525
Individual Study for Final Examination12525
Homework12020
TOTAL WORKLOAD (hours)152
Contribution of Learning Outcomes to Programme Outcomes
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LO1  4    44    5  4       
LO2        4 5 45          
LO35    3      54   5      
LO4     4 5     5          
LO55 4  5   4  45    4     
LO65           54   5      
LO7    545          4  5   
LO85        4       5      
LO95 5              5     4
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr