ECTS - Quality Control and Assurance

Quality Control and Assurance (IE326) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Quality Control and Assurance IE326 6. Semester 3 0 0 3 6
Pre-requisite Course(s)
IE 202
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving, Team/Group, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Danışment Vural
Course Assistants
Course Objectives The course aims to introduce the student the concepts of quality and the importance of quality in manufacturing and service industries, together with the contemporary methods and procedures used to attain quality.
Course Learning Outcomes The students who succeeded in this course;
  • Students will acquire knowledge sufficient to use statistical quality control techniques.
  • Students will be able to demonstrate the role of management and human factors in designing, planning, and improving the quality
  • Students will be able to use different quality planning and control tools to solve industrial and manufacturing problems.
  • Students will be able to apply the total quality management and ISO standards.
  • Students will able to apply Six Sigma quality improvement program to real life problems.
Course Content Fundamentals of quality management, total quality management, quality improvement techniques, cost of quality, statistical process control techniques, product acceptance, acceptance sampling plans.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamentals of Quality Management [1] pages 3-45
2 Quality Improvement Techniques [1] pages 207-221
3 Quality Improvement Techniques [1] pages 207-221
4 Methods and Philosophy of Statistical Process Control [1] pages 187-213
5 Control Charts for Variables and Attributes, Process Capability Analysis [1] pages 234-339
6 Control Charts for Variables and Attributes, Process Capability Analysis [1] pages 234-339
7 Midterm 1
8 Acceptance Sampling Plans [1] pages 649-704
9 Acceptance Sampling Plans [1] pages 649-704
10 Process Improvement with Designed Experiments [1] pages 563-606
11 Process Improvement with Designed Experiments [1] pages 563-606
12 Total Quality Management [6] pages 5-345
13 ISO 9001-2000 Quality Standards [7] pages 3-205
14 Current Issues and Philosophies (Prizes and awards , Excellence Models) [1] pages 13-45
15 Quality Transformation(Benchmarking, Quality Function Deployment) [2] pages 145-170
16 Project Presentations


Course Book 1. Montgomery, D.C., Introduction to Statistical Quality Control, 6th Edition, John Wiley and Sons Co., 2008.
Other Sources 2. Gryna, F. M., Chua, R.C. H., and Defeo, J.A., Juran’s Quality Planning and Analysis for Enterprise Quality , 5th Edition, Mc Graw- Hill, 2007.
3. Kolarik, J.W., Creating Quality, Process Design for Results, Mc Graw- Hill, 1999.
4. Evans J.R& Lindsay W.M, The Management and Control of Quality, 3rd edition, West Publishing Company.
5. Sutherland J.W., Statistical Quality Design and Control, MacMillan Publishing Co, 1992.
6. Şale, İ., Toplam Kalite Yönetimi ISO 9001:2000- IS0 14000-OHSAS 18000, Seçkin Yayıncılık, 1. Baskı, 1995.
7. Şale, İ., ISO 9001:2000 Kalite Yönetim Sistemi ve Uygulamaları, Seçkin Yayıncılık, 2. Baskı, 2004.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application 4 20
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 40
Toplam 7 100
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 Acquires sufficient knowledge in mathematics, natural sciences, and related engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. X
2 Gains the ability to identify, define, formulate, and solve complex engineering problems; acquires the skill to select and apply appropriate analysis and modeling methods for this purpose. X
3 Gains the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions, and applies modern design methods for this purpose.
4 Develops the skills to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; gains the ability to effectively use information technologies. X
5 Gains the ability to design experiments, conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. X
6 Acquires the ability to work effectively in intra-disciplinary and multidisciplinary teams, as well as individual work skills. X
7 Acquires effective oral and written communication skills in Turkish; at least one foreign language proficiency; gains the ability to write effective reports, understand written reports, prepare design and production reports, make effective presentations, and give and receive clear instructions. X
8 Develops awareness of the necessity of lifelong learning; gains the ability to access information, follow developments in science and technology, and continuously renew oneself. X
9 Acquires the consciousness of adhering to ethical principles, and gains professional and ethical responsibility awareness. Gains knowledge about the standards used in industrial engineering applications. X
10 Gains knowledge about practices in the business life such as project management, risk management, and change management. Develops awareness about entrepreneurship and innovation. Gains knowledge about sustainable development. X
11 Gains knowledge about the universal and social dimensions of the impacts of industrial engineering applications on health, environment, and safety, as well as the problems reflected in the engineering field of the era. Gains awareness of the legal consequences of engineering solutions. X
12 Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy. X
13 Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
Project 1 18 18
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 5 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 150