| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Bachelor's Degree |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 5 |
| NAME OF LECTURER(S) | Professor Yusuf Tansel İç
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Have the ability to understand the concept of component failure rate.
2) Have the ability to predict systems reliability from component failure data.
3) Have the ability to predict systems availability from component failure data and repair process data
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
| COURSE DEFINITION | Reliability engineering basic concepts and definitions, reliability and maintenance activities, basic reliability calculations, fundamentals of reliability, reliability test and planning, failure mode and effects analysis.
|
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Basic Concepts | | 2nd Week | Discrete Probability Models of Reliability Engineering Importance | | 3rd Week | Probability Density Functions used to Calculate Reliability | | 4th Week | Mixed Distribution and Combined Effects Models | | 5th Week | Complex Systems Design and Analysis | | 6th Week | Complex Systems Design and Analysis | | 7th Week | Optimal Design Methods for Systems | | 8th Week | Distributions of Sample Statistics and Their use in Constructing Confidence Intervals on Reliabilities | | 9th Week | Midterm | | 10th Week | Point an Interval Estimates for the Exponential | | 11th Week | Bayesian Point and Interval Estimates for Exponential Binomial, Geometric and Poisson Distribution | | 12th Week | Markov Models for Repairable Systems Reliability | | 13th Week | Markov Models for Repairable systems Availability | | 14th Week | Renewal Theory |
|
| RECOMENDED OR REQUIRED READING | Elsayed A. Elsayed, 1996, Reliability Engineering, Prentice Hail |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Project,Other |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 25 | | Assignment | 1 | 20 | | Quiz | 1 | 20 | | Total(%) | | 65 | | Contribution of In-term Studies to Overall Grade(%) | | 65 | | Contribution of Final Examination to Overall Grade(%) | | 35 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 2 | 2 | | Preparation for Quiz | 1 | 4 | 4 | | Individual or group work | 14 | 2 | 28 | | Preparation for Final exam | 1 | 25 | 25 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 25 | 25 | | Laboratory (including preparation) | | | | | Final exam | 1 | 2 | 2 | | Homework | 1 | 8 | 8 | | Total Workload | | | 136 |
|---|
| Total Workload / 30 | | | 4,53 |
|---|
| ECTS Credits of the Course | | | 5 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
