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Information
| Code | ISB492 |
| Name | Statistical Reliability Analysis |
| Term | 2022-2023 Academic Year |
| 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 Instructor |
1 2 |
Course Goal / Objective
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 | ||