Undergraduate
Faculty of Engineering and Architecture
Industrial Engineering
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Quality Engineering

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IE8406 8 Quality Engineering 2/2/0 CC English 5
Course Goals
 To use the statistical methods and other quality tools to improve product quality
Prerequisite(s) IE 4102 Statistics for Engineers
Corequisite(s) -
Special Requisite(s) Class attendance is mandatory and will not be considered as an assessment criterion. On the other hand, students who attend less than 70% of the theory or practice section (with or without an excuse) must repeat the course.
Instructor(s) Assist. Prof. Dr. Okay Işık
Course Assistant(s) Dilek Akburak
Schedule Theory: Monday 15:00-16:45, ATA ZB-2 Practice: Wednesday, (1): 09:00-10:45, (2): 11:00-12:45, ATA 3C 7/9
Office Hour(s) Monday 14:00-15:00, 2B-01
Teaching Methods and Techniques - Lecture and discussion

- Problem Solving Session
Principle Sources -Statistical Quality Control, D.C. Montgomery, 6th edition, Wiley
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Dimensions of Quality; Quality Engineering Terminology; Statistical Methods for Quality Control and Improvement; Quality Philosophy and Management Strategies Oral presentation and recitation
2. Week Causes of Quality Variation; Basic Principles of Control Charts; The Rest of the Magnificent Seven Oral presentation and recitation
3. Week Choice of Control Limits; Sample Size and Sampling Frequency; Analysis of Patterns on Control Charts Oral presentation and recitation
4. Week Control Chats for Variables Oral presentation and recitation
5. Week Control Chats for Variables ( Con't) Oral presentation and recitation
6. Week Control Chats for Variables ( Con't) Oral presentation and recitation
7. Week Midterm
8. Week Control Charts for Attributes Oral presentation and recitation
9. Week Control Charts for Attributes (Con't) Oral presentation and recitation
10. Week Process Capability Analysis Oral presentation and recitation
11. Week Process Capability Analysis ( Con't) Oral presentation and recitation
12. Week Acceptance Sampling Oral presentation and recitation
13. Week Acceptance Sampling, Standard plans for attributes Oral presentation and recitation
14. Week Acceptance Sampling, Standard plans for variables Oral presentation and recitation
15. Week Final Final
16. Week Final Final
17. Week Final Final
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 35
Quizzes 3 15
Final Exam 1 50


Program Outcomes
PO-1Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1Gains knowledge about the basics of control chart design, other SPC tools, quality improvement methods, and quality management philosophies.
LO-2Gains the ability to design and implement control charts.
LO-3Gains the ability to select the appropriate type of control chart for a given process, and gains knowledge about the first and second phases of control chart applications.
LO-4Gains the ability to perform process capability analysis.
LO-5Gains the ability to apply acceptance-sampling plans.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5