COURSE UNIT TITLE

: RELIABILITY AND LIFETIME ANALYSIS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 4143 RELIABILITY AND LIFETIME ANALYSIS ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR SELMA GÜRLER

Offered to

Statistics
Statistics(Evening)

Course Objective

This course introduces to basic concepts, models, methods, and applications in reliability and lifetime analysis. It provides adequate quantitative skills to solve real-world problems in survival analysis.

Learning Outcomes of the Course Unit

1   Describe the quantitative measures of reliability of a unit such as reliability, failure rate, mean time to failure, mean residual life functionsDescribe the common distributions for failure models with their properties
2   Describe the common distributions for failure models with their properties
3   Analyze the reliability data graphically
4   Calculate the reliability of systems of independent components (parallel, series ect.)
5   Analyze lifetime data using nonparametric estimation methods such as life table analysis, Kaplan-Meier analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Review of probability concepts and statistics
2 Order statistics
3 Reliability function, failure rate
4 Mean time to failure, Mean residual life function
5 Common distributions for failure models
6 Common distributions for failure models
7 Analysis of reliability data
8 Graphical analysis of reliability data
9 System of independent components and reliability properties
10 Maximum likelihood estimation
11 Describing survival data using nonparametric estimation methods
12 The life table analysis
13 The Kaplan-Meier analysis
14 Application

Recomended or Required Reading

Textbook(s):
John P. Klein and Melvin Moeschberger, Survival Analysis Techniques for Censored and Truncated Data, 2nd Ed., Springer, 2003.
Supplementary Book(s):
1. Collett, D. Modeling Survival Data in Medical Research, Chapman & Hall, 2003.
2. Kleinbaum D.G. and Klein M., Survival Analysis A Self-Learning Text, 2th Edition, Springer, 2005.

Planned Learning Activities and Teaching Methods

The course consists of lecture and projects.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and project.

Language of Instruction

English

Course Policies and Rules

Student responsibilities:
Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
Assoc. Prof. Dr. Selma GÜRLER
DEU. Faculty Sciences Department of Statistics B003
e-mail: selma.erdogan@deu.edu.tr
Tel: 0232 301 85 71

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 15 15
Preparation for final exam 1 26 26
Preparing assignments 1 20 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 119

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.154322
LO.255322
LO.355322
LO.455322
LO.554322