ISB492 Statistical Reliability Analysis

5 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Code ISB492
Name Statistical Reliability Analysis
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜZİN YÜKSEL


Course Goal

The aim of this course is to introduce reliability concept to students.Reliability estimation for different systems, reliability growth models will be given.

Course Content

Reliability estimation for different systems,Hazard rate estimation,Estimation based on life distributions,Exponential distribution,Weibull distribution,Gamma distribution,Testing based on life distributions,Probability plotting techniques.

Course Precondition

None

Resources

An Introduction to Reliability and Maintainability Engineering ,C.E.Ebeling, Waveland Pr Inc, 2019

Notes

Course Notes.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Calculates the hazard ratio estimate.
LO02 Applies the probability plotting techniques.
LO03 Makes the estimation of reliability for different systems.
LO04 Learns basic reliability models
LO05 Knows the basic concepts of reliability.
LO06 Uses estimation based on life distributions
LO07 Solves problems related to reliability.
LO08 Uses Life-table method.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 3
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 4
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems 3
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer systems and softwares 2
PLO07 Bilgi - Kuramsal, Olgusal Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 4
PLO08 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods
PLO09 Bilgi - Kuramsal, Olgusal Make statistical inference(estimation, hypothesis tests etc.) 5
PLO10 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques 5
PLO11 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programme
PLO12 Bilgi - Kuramsal, Olgusal Construct a model and analyze it by using statistical packages
PLO13 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods 3
PLO14 Beceriler - Bilişsel, Uygulamalı Be aware of the interaction between the disciplines related to statistics 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 3
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 4
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
PLO18 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection 3


Week Plan

Week Topic Preparation Methods
1 Reliability estimation for different systems Reading related books Öğretim Yöntemleri:
Tartışma, Soru-Cevap
2 Hazard rate estimation Reading related books Öğretim Yöntemleri:
Anlatım
3 Estimation based on life distributions Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Exponential distribution Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
5 Weibull distribution Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Gamma distribution Reading related books Öğretim Yöntemleri:
Anlatım, Örnek Olay
7 Applications Reading related books Öğretim Yöntemleri:
Problem Çözme, Alıştırma ve Uygulama
8 Mid-Term Exam Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
9 Normal distribution, lognormal distribution. Reading related books Öğretim Yöntemleri:
Anlatım, Tartışma
10 The reliability of the systems, the serial configuration, the parallel configuration, Reading related books Öğretim Yöntemleri:
Problem Çözme, Örnek Olay
11 Applications to life analysis, exponential model in life analysis Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
12 Weibull model in Life analysis Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 Life table, Kaplan-Meier and Cox regression analysis Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
14 Comparison of life curves. Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
15 Testing based on life distributions Reading related books Öğretim Yöntemleri:
Anlatım, Problem Çözme
16 Term Exams Review the topics discussed in the lecture notes Öğretim Yöntemleri:
Anlatım
17 Term Exams Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS