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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
QUALITY ENGINEERING-Fall Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assoc.Prof. Billur Deniz KARAHAN
Assistant(s)
AimThe aim of the course: 1. Discussion about the concept of quality; 2. Understanding the philosophy of quality, quality assurance, quality control systems, and application of a quality system; Examination of the systematic approach to implement quality in a company and apply ISO 9000 series standards; presenting information to improve the quality of a product, method and human performance; 3. Explaining the efficient use of quality tools and techniques necessary to achieve high quality production (including design); 4. Learning the principles of seven quality management tools and techniques and discussing their results; 5. Providing basic information about the principles of quality strategies and quality improvement methods.
Course ContentThis course contains; Quality philosophies and foundation,Engineering and quality, principles of TQM, development of TQM, Gurus of TQM,Principles of leadership, communication, organization, communication skills, vision, mission, strategy,Quality system and documentation, cost of quality,Data collection, sampling, statistical process control ,Statistical proces control (control charts: X-R, X-S),Statistical process control (np, p, c, u charts),Designing quality properties, use of quality tools (flow charts, pareto analysis, cause-effect analysis, histogram, scattering diagrams),Quality management and planning tools (affinity diagram, tree diagram, matrix, relation diagrams, critical assessment analysis,Quality techniques (benchmarketing, brainstorming, target analysis, faillure modes and effect analysis),Quality techniques (house of quality function deployment, design of experiment),Continuous improvement technqiues (TQM, Kaizen),Continuous improvement techniques (Six sigma, DAMIC, SWOT, Deming circle),Project Presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Defines the basic concepts of quality and and examine the effect of quality philosophy on engineering practices.10, 12, 16, 2, 9A, E, F
2. Makes calculation and summarize/map the obtained data to make inferences for improvement.10, 16, 6, 9A, E
3. Analyzes the appropriate quality tools and techniques for engineering applications and analyzes control charts for the quality monitorigng and improvement.10, 16, 9A, E, F
4. Utilize knowledge of statistics, acceptance sampling and process control for high quality production in engineering applications.10, 14, 9A, F
5. Plan experiments to improve product properties and process performance, conduct research as a team, prepare scientific reports, organize and present the results.10, 16, 9A, F
Teaching Methods:10: Discussion Method, 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Quality philosophies and foundationLecture Notes
2Engineering and quality, principles of TQM, development of TQM, Gurus of TQMLecture Notes
3Principles of leadership, communication, organization, communication skills, vision, mission, strategyLecture Notes
4Quality system and documentation, cost of qualityLecture Notes
5Data collection, sampling, statistical process control Lecture Notes
6Statistical proces control (control charts: X-R, X-S)Lecture Notes
7Statistical process control (np, p, c, u charts)Lecture Notes
8Designing quality properties, use of quality tools (flow charts, pareto analysis, cause-effect analysis, histogram, scattering diagrams)Lecture Notes
9Quality management and planning tools (affinity diagram, tree diagram, matrix, relation diagrams, critical assessment analysisLecture Notes
10Quality techniques (benchmarketing, brainstorming, target analysis, faillure modes and effect analysis)Lecture Notes
11Quality techniques (house of quality function deployment, design of experiment)Lecture Notes
12Continuous improvement technqiues (TQM, Kaizen)Lecture Notes
13Continuous improvement techniques (Six sigma, DAMIC, SWOT, Deming circle)Lecture Notes
14Project PresentationsProject Presentations
Resources
D.C.S. Summers, Quality, 2nd Editon, Prentice Hall Inc, 2000, ISBN 0-13-099924-5. D.C. Montgomery, Introduction to Statistical Quality Control, 7th Edition, John Wiley&Sons Singapore Pte. Ltd., 2013, ISBN 978-1-118-32257-4 M. Zahiri Total Quality Management for Engineers Woodhead Publishing, 1991, ISBN 9781855730243 G. P. Kanji, M. Asher 100 Method for Total Quality Management SAGE Publications Ltd., 1996, ISBN 0803977476 Crosby PB. Quality is free. McGraw-Hill, NewYork, 1979, ISBN 978-0070145122

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report21020
Term Project717
Presentation of Project / Seminar14228
Quiz000
Midterm Exam14342
General Exam14342
Performance Task, Maintenance Plan000
Total Workload(Hour)181
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(181/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
QUALITY ENGINEERING-Fall Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assoc.Prof. Billur Deniz KARAHAN
Assistant(s)
AimThe aim of the course: 1. Discussion about the concept of quality; 2. Understanding the philosophy of quality, quality assurance, quality control systems, and application of a quality system; Examination of the systematic approach to implement quality in a company and apply ISO 9000 series standards; presenting information to improve the quality of a product, method and human performance; 3. Explaining the efficient use of quality tools and techniques necessary to achieve high quality production (including design); 4. Learning the principles of seven quality management tools and techniques and discussing their results; 5. Providing basic information about the principles of quality strategies and quality improvement methods.
Course ContentThis course contains; Quality philosophies and foundation,Engineering and quality, principles of TQM, development of TQM, Gurus of TQM,Principles of leadership, communication, organization, communication skills, vision, mission, strategy,Quality system and documentation, cost of quality,Data collection, sampling, statistical process control ,Statistical proces control (control charts: X-R, X-S),Statistical process control (np, p, c, u charts),Designing quality properties, use of quality tools (flow charts, pareto analysis, cause-effect analysis, histogram, scattering diagrams),Quality management and planning tools (affinity diagram, tree diagram, matrix, relation diagrams, critical assessment analysis,Quality techniques (benchmarketing, brainstorming, target analysis, faillure modes and effect analysis),Quality techniques (house of quality function deployment, design of experiment),Continuous improvement technqiues (TQM, Kaizen),Continuous improvement techniques (Six sigma, DAMIC, SWOT, Deming circle),Project Presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Defines the basic concepts of quality and and examine the effect of quality philosophy on engineering practices.10, 12, 16, 2, 9A, E, F
2. Makes calculation and summarize/map the obtained data to make inferences for improvement.10, 16, 6, 9A, E
3. Analyzes the appropriate quality tools and techniques for engineering applications and analyzes control charts for the quality monitorigng and improvement.10, 16, 9A, E, F
4. Utilize knowledge of statistics, acceptance sampling and process control for high quality production in engineering applications.10, 14, 9A, F
5. Plan experiments to improve product properties and process performance, conduct research as a team, prepare scientific reports, organize and present the results.10, 16, 9A, F
Teaching Methods:10: Discussion Method, 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Quality philosophies and foundationLecture Notes
2Engineering and quality, principles of TQM, development of TQM, Gurus of TQMLecture Notes
3Principles of leadership, communication, organization, communication skills, vision, mission, strategyLecture Notes
4Quality system and documentation, cost of qualityLecture Notes
5Data collection, sampling, statistical process control Lecture Notes
6Statistical proces control (control charts: X-R, X-S)Lecture Notes
7Statistical process control (np, p, c, u charts)Lecture Notes
8Designing quality properties, use of quality tools (flow charts, pareto analysis, cause-effect analysis, histogram, scattering diagrams)Lecture Notes
9Quality management and planning tools (affinity diagram, tree diagram, matrix, relation diagrams, critical assessment analysisLecture Notes
10Quality techniques (benchmarketing, brainstorming, target analysis, faillure modes and effect analysis)Lecture Notes
11Quality techniques (house of quality function deployment, design of experiment)Lecture Notes
12Continuous improvement technqiues (TQM, Kaizen)Lecture Notes
13Continuous improvement techniques (Six sigma, DAMIC, SWOT, Deming circle)Lecture Notes
14Project PresentationsProject Presentations
Resources
D.C.S. Summers, Quality, 2nd Editon, Prentice Hall Inc, 2000, ISBN 0-13-099924-5. D.C. Montgomery, Introduction to Statistical Quality Control, 7th Edition, John Wiley&Sons Singapore Pte. Ltd., 2013, ISBN 978-1-118-32257-4 M. Zahiri Total Quality Management for Engineers Woodhead Publishing, 1991, ISBN 9781855730243 G. P. Kanji, M. Asher 100 Method for Total Quality Management SAGE Publications Ltd., 1996, ISBN 0803977476 Crosby PB. Quality is free. McGraw-Hill, NewYork, 1979, ISBN 978-0070145122

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43