BİS545

4 ECTS - 1-2 Duration (T+A)- . Semester- 2 National Credit

Information

Code BİS545
Name
Term 2023-2024 Academic Year
Semester . Semester
Duration (T+A) 1-2 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

Aims to understand the methods and steps used in reliability analysis.

Course Content

includes the consepts of:System Effectiveness. Reliability and Related Functions . Life Distributions, Models and Their Characteristics. Types of Failure Observations. Reliability of Composite Systems Reliability of Repairable Systems Graphical Analysis of Life Data Estimation of Life Distributions and System Characteristics Maximum Likelihood Estimators and Conndence Intervais for Specific Life Distributions Bayesian Reliability Estimation and Prediction Reliability Demonstration: Testing and Acceptance Procedures

Course Precondition

none

Resources

Introduction to Reliability Analysis: Probability Models and Statistical Methods (Springer Texts in Statistics) Softcover reprint of the original 1st ed. 1992 Edition by Shelemyahu Zacks

Notes

slides


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Calculates Maximum Likelihood Estimators and Confidence intervals for specific Survival Distributions.
LO02 Defines,System Activity, Reliability and Related Functions.
LO03 Tests Life Distributions, Patterns and Traits.
LO04 Implements Test and Acceptance Procedures for Reliability Demonstration.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 4
PLO02 Bilgi - Kuramsal, Olgusal Students explain demographic terminologies and statistical methods in the field of health sciences.
PLO03 Beceriler - Bilişsel, Uygulamalı Students understand and use medical terminology.
PLO04 Beceriler - Bilişsel, Uygulamalı Students collect data from research studies, analyze, and make inferences 3
PLO05 Beceriler - Bilişsel, Uygulamalı Students knows the system of international classification of diseases, obtain and analyze hospital statistics.
PLO06 Beceriler - Bilişsel, Uygulamalı Students design scientific research studies in order to give response to the problem arising from health and clinical sciences
PLO07 Beceriler - Bilişsel, Uygulamalı Students select the appropriate statistical procedure for analysis , apply and make inferences. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Students use the necessary statistical packages for analysis, if necessary write and develop software.
PLO09 Beceriler - Bilişsel, Uygulamalı Students follow the latest development in medical informatics and employ frequently used tools and methods.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students design health survey, determine the sampling method and conduct the survey 3
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 5
PLO12 Yetkinlikler - Öğrenme Yetkinliği Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence
PLO13 Yetkinlikler - Öğrenme Yetkinliği Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 5
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules.
PLO15 Yetkinlikler - Alana Özgü Yetkinlik Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test.


Week Plan

Week Topic Preparation Methods
1 introduction to reliability analysis reading Öğretim Yöntemleri:
Anlatım
2 System Effectiveness. Reliability and Related Functions . reading Öğretim Yöntemleri:
Anlatım
3 Life Distributions, Models and Their Characteristics. Types of Failure Observations. -I reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Life Distributions, Models and Their Characteristics. Types of Failure Observations. -II reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma, Soru-Cevap
5 Reliability of Composite Systems reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Reliability of Repairable Systems reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma
7 Graphical Analysis of Life Data reading Öğretim Yöntemleri:
Anlatım, Gösteri, Alıştırma ve Uygulama, Soru-Cevap
8 Mid-Term Exam none Ölçme Yöntemleri:
Ödev
9 Estimation of Life Distributions and System Characteristics -I reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Estimation of Life Distributions and System Characteristics -II reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Gösteri, Tartışma, Soru-Cevap
11 Maximum Likelihood Estimators and Conndence Intervais for Specific Life Distributions -I reading Öğretim Yöntemleri:
Anlatım
12 Maximum Likelihood Estimators and Conndence Intervais for Specific Life Distributions -II reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap, Tartışma
13 Bayesian Reliability Estimation and Prediction reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Reliability Demonstration: Testing and Acceptance Procedures -I reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Reliability Demonstration: Testing and Acceptance Procedures -II reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Soru-Cevap, Tartışma
16 Term Exams none Ölçme Yöntemleri:
Ödev, Proje / Tasarım
17 Term Exams none Ölçme Yöntemleri:
Ödev, Proje / Tasarım


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 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 22.05.2023 11:18