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)	-
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 system 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	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 1st Week Basic Concepts 2nd Week Discrete Probability Models of Reliability Engineering 3rd Week Probability Density Functions used to Calculate Reliability 4th Week Mixed Distribution and Combined Effect Model 5th Week Design and Analysis of Complex Systems 6th Week Design and Analysis of Complex Systems 7th Week Optimal Design Methods for Systems 8th Week Midterm Exam 9th Week Distribution of Sample Statistics and Determination of Confidence Interval in Reliability 10th Week Exponentially Determining the Range Estimation Points 11th Week Bayesian Point and Range Estimates for Exponential, Binomial, Geometric and Poisson Distribution 12th Week Markov Models for Repairable System Reliability 13th Week Markov Models for Repairable System Availability 14th Week Renewal Theory
RECOMENDED 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 WORKLOAD	Activities Number Hours Workload 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 Workload 138 Total Workload / 30 4,6 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No