Information Package

Master's of Quality Engineering without Thesis

KAL524

RELIABILITY ENGINEERING

Course Code
KAL524
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. will have knowledge on reliability analysis approaches
  2. will have an ability to understand the systems reliability and relations between its components and related models.
  3. will have an ability to design required support systems based on reliability and logistics relationships.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionReliability Measures, Static and Dynamic Reliability Models, Probabilistic Engineering Design, Inference Theory and Reliability Computations, Analyzing Reliability Data, Maintainability, Maintenance, and Availability, Time Dependent Stress-Strength Models, Reliability Prediction and Modeling, Sequential Life Testing, Reliability Optimization.
Course Contents
WEEK TOPICS
1st Week Review of probability
2nd Week Reliability, maintenance and logistic
3rd Week Reliability function
4th Week Measurements of the reliability
5th Week Static reliability models
6th Week Dynamic reliability models
7th Week Reliability estimations
8th Week Reliability life tests
9th Week Midterm exam
10th Week Maintenance planning
11th Week Technical supports and logistic
12th Week Diagrams for reliability
13th Week System reliability
14th Week Project presentations
Recommended or Required ReadingElsayed, E. A., 1996, Reliability Engineering, Prentice Hall.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 3 10
Quiz 3 15
Project 1 15
Total(%) 70
Contribution of In-term Studies to Overall Grade(%) 70
Contribution of Final Examination to Overall Grade(%) 30
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 3 2 6
Individual or group work 14 14 196
Preparation for Final exam 1 20 20
Course hours 14 3 42
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 2 2
Homework 4 6 24
Total Work Load312
Total Work Load / 30 (h)10.4
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X X X
K2 X X X
K3 X X X
K4
K5 X X X
K6