Reliability (IE429) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Reliability IE429 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Serkan Eryılmaz
Course Assistants
Course Objectives This course aims to provide students with reliability analysis tools and process control techniques for designing and operating systems at high reliability and quality levels.
Course Learning Outcomes The students who succeeded in this course;
  • Ability to describe the importance of reliability and quality in engineering.
  • Ability to compute and evaluate system reliability based on component reliabilities.
  • Ability to use effective probabilistic and statistical techniques for evaluating engineering systems and production processes.
Course Content The concepts and tools of system reliability, the methods for evaluating reliability of systems, and some reliability optimization problems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 The concept of reliability and its importance in engineering
2 Review of Probability
3 Basic reliability Math
4 Reliability concepts and tools
5 Methods for system reliability evaluation
6 Recursive reliability formulae
7 Lifetime probability models
8 Dynamic reliability analysis
9 Estimation of reliability
10 Midterm
11 Repairable system models
12 Multi-state systems
13 Reliability optimization problems
14 Reliability optimization problems (cont.)
15 Final Examination Period
16 Final Examination Period

Sources

Course Book 1. “Optimal Reliability Modeling: Principles and Applications” by W. Kuo and M. J. Zuo, John Wiley, 2003.
Other Sources 2. Applied Reliability and Quality, Fundamentals, Methods and Procedures by Dhillon, B.S., Springer, 2007.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation 1 30
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to apply the acquired knowledge in mathematics, science and engineering
2 Ability to identify, formulate and solve complex engineering problems X
3 Ability to accomplish the integration of systems
4 Ability to design, develop, implement and improve complex systems, components, or processes
5 Ability to select/develop and use suitable modern engineering techniques and tools
6 Ability to design/conduct experiments and collect/analyze/interpret data X
7 Ability to function independently and in teams
8 Ability to make use of oral and written communication skills effectively
9 Ability to recognize the need for and engage in life-long learning
10 Ability to understand and exercise professional and ethical responsibility
11 Ability to understand the impact of engineering solutions
12 Ability to have knowledge of contemporary issues

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project 1 7 7
Report
Homework Assignments 5 2 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 8 8
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 125