SYSTEM RELIABILITY

CE404

Course Code: CE404
Semester: -
Theory+Practice: 3 + 0
ECTS: 5

Course Type

Elective Course

Course Level

Bachelor's Degree

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Have the ability to understand the concept of component failure rate,
Have the ability to predict systems reliability from component failure data,
Have the ability to predict system availability from component failure data and repair process data.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Discrete Probability Models of Reliability Engineering, Probability Density Functions used to Calculate Reliability, Mixed Distribution and Combined Effects Models, Complex Systems Design and Analysis, Optimal Design Methods for Systems, Distributions of Sample Statistics and Their use in Constructing Confidence Intervals on Reliabilities, Point an Interval Estimates for the Exponential, Bayesian Point and Interval Estimates for Exponential Binomial, Geometric and Poisson Distribution, Markov Models for Repairable Systems Reliability, Renewal Theory.

Course Contents

WEEK	TOPICS
1^st Week	Basic Concepts
2^nd Week	Discrete Probability Models of Reliability Engineering
3^rd Week	Probability Density Functions used to Calculate Reliability
4^th Week	Mixed Distribution and Combined Effect Model
5^th Week	Design and Analysis of Complex Systems
6^th Week	Design and Analysis of Complex Systems
7^th Week	Optimal Design Methods for Systems
8^th Week	Midterm Exam
9^th Week	Optimal Design Methods for Systems
10^th Week	Distribution of Sample Statistics and Determination of Confidence Interval in Reliability
11^th Week	Exponentially Determining the Range Estimation Points
12^th Week	Bayesian Point and Range Estimates for Exponential, Binomial, Geometric and Poisson Distribution
13^th Week	Markov Models for Repairable System Reliability
14^th Week	Markov Models for Repairable System Availability
15^th Week	Renewal Theory

Recommended or Required Reading

Reference Book:
A. Elsayed (1996) Reliability Engineering, Prentice Hall.
Additional Resources:
M. Rausand, A. Hoyland (2003) System Reliability Theory: Models, Statistical Methods, and Applications, Wiley-Interscience.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	2	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work
Preparation for Final exam	1	35	35
Course hours	14	3	42
Preparation for Midterm exam	1	45	45
Laboratory (including preparation)
Final exam	1	2	2
Homework	2	6	12
Total Work Load			138
Total Work Load / 30 (h)			4.6
ECTS Credit of the Course			5

Language of Instruction

English

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3
K1	X	X	X
K2	X	X	X
K3	X	X	X
K4	X	X	X
K5
K6
K7
K8
K9
K10
K11