Master's Degree in Industrial Engineering with Thesis
Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Master's Degree in Industrial Engineering with Thesis
Course Details
Graduate Education Institute
Programme of Master's Degree in Industrial Engineering with Thesis
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 84211118 | Special Topics in Quality Engineering | 1 | Autumn | 1 | 3+0+0 | 7 | 7 |
| Course Type | Elective |
| Course Cycle | Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Prof. Murat DARÇIN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Prof. Murat DARÇIN | A-306 | [email protected] | 7907 |
Course Content
This course covers advanced and current topics in quality engineering. Students will learn about new methods and techniques related to quality management and control. The course covers topics such as total quality management (TQM), six sigma, quality function deployment (QFD), and continuous improvement processes in depth. This course will equip students with the skills to solve problems encountered in modern quality engineering practices and manage process improvement projects. By developing innovative approaches to quality management, students will be able to increase the efficiency of industrial processes and customer satisfaction.
Objectives of the Course
The objective of this course is to introduce students to current and advanced methods in quality engineering and develop competence in modern quality management practices. Students will acquire the skills to analyze processes, develop improvement projects, and develop innovative solutions to quality problems using approaches such as total quality management, six sigma, QFD, and continuous improvement. This course aims to equip them with the skills to improve the efficiency of industrial processes and enhance customer satisfaction.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Using scientific research methods in the field of Industrial Engineering, they access information in depth and from a broad perspective; they critically analyze, interpret, and apply the information they obtain. | 4 |
| P2 | Possesses advanced knowledge of current methods, techniques, and tools used in Industrial Engineering, as well as the assumptions and limitations of these approaches. | 5 |
| P3 | In situations where data is uncertain, incomplete, or limited in the field of Industrial Engineering, they supplement information using scientific and analytical methods; they develop solutions by integrating information obtained from different disciplines. | 4 |
| P4 | Monitors new and emerging applications, approaches, and technologies in the field of Industrial Engineering; develops and manages the learning process in these areas as needed. | 3 |
| P5 | Industrial Engineering systematically defines problems; develops appropriate models and methods for these problems and applies innovative approaches in the solution processes. | 5 |
| P6 | Yeni ve özgün fikirler üreterek karmaşık sistem ve süreçlerin tasarımını gerçekleştirir; alternatif ve yenilikçi çözüm önerileri geliştirir. | 4 |
| P7 | Plans and conducts theoretical, experimental, and/or modeling-based research; analyzes and resolves complex problems encountered during the research process. | 3 |
| P8 | Effectively participates in intra-disciplinary and interdisciplinary teams; assumes leadership when necessary, develops solution-oriented approaches using project and risk management tools; can work independently and take responsibility. | 3 |
| P9 | They present the processes and results of their work in a clear, systematic, and understandable manner, both in writing and/or orally, in national and international academic or professional settings; they act in accordance with entrepreneurship, innovation, sustainability, and social and ethical values in professional practice. | 2 |
| P10 | Entrepreneurship, innovation, and sustainability can be implemented in business practices. | 2 |
| P11 | It observes social, scientific, and ethical values during the collection, interpretation, and dissemination of data, as well as in all professional activities. | 3 |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to quality engineering and fundamental concepts |
| 2 | Total Quality Management and quality culture |
| 3 | Advanced statistical process control |
| 4 | Measurement systems analysis and reliability |
| 5 | Design of Experiment (DOE) |
| 6 | Six Sigma methodology and DMAIC |
| 7 | 49 Reliability engineering and lifecycle analysis |
| 8 | Midterm Exam |
| 9 | Quality functional deployment and customer-centric design |
| 10 | Failure modes and effects analysis |
| 11 | Supplier quality management and acceptance sampling |
| 12 | Lean manufacturing and quality integration |
| 13 | Quality engineering applications in the service sector |
| 14 | Current quality approaches and quality in the context of Industry 4.0 |
| 15 | Presentations and case studies |
Textbook or Material
| Resources | David L. Goetsch, Stanley B. Davis. Quality Management for Organizational Excellence: Introduction to Total Quality, 9th edition, Published by Pearson (2022), ISBN-13: 9780137848249 |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Homework | - | - |
| Presentation | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 13 | 13 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 1 | 30 | 30 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 4 | 15 | 60 |
| Fieldwork | 2 | 15 | 30 |
| Final Exam | 0 | 0 | 0 |
| Other | 4 | 2 | 8 |
| Total Work Load: | 225 | ||
| Total Work Load / 30 | 7,50 | ||
| Course ECTS Credits: | 8 | ||