Reliability (IE429) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Reliability IE429 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
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
Major Area Courses
Supportive Courses X
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 An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems.
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods.
3 An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design.
4 An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively.
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics.
6 An ability to work individually, on teams, and/or on multidisciplinary teams.
7 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction.
8 A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology.
9 An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications.
10 Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement.
11 Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions.
12 An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy.
13 Knowlede on appropriate analytical, computational and experimental methods to provide system integration.

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