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IST7060 | Statistical Quality Control | 3+0+0 | ECTS:7.5 | Year / Semester | Spring Semester | Level of Course | Third Cycle | Status | Elective | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | Prerequisites and co-requisites | None | Mode of Delivery | Face to face | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Dr. Öğr. Üyesi Uğur ŞEVİK | Co-Lecturer | None | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The aim of this lecture is to improve quality and control process by applying statistical principles and techniques to the data obtained at all levels of production. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | Gain the ability to use basic statistical principles and techniques of quality improvement and quality control | | | PO - 2 : | Explain quality control processes | | | PO - 3 : | Determine the appropriate techniques and methods to be used | | | PO - 4 : | Uses statistical package for the application | | | PO - 5 : | Relate to Quality control techniques for the company's success in competition | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
Sampling Theory; Statistical Inference Theory and Its Properties; The concept of quality and quality control, Quality components; Main factors of influencing quality; Aims of Quality Control; Quality Measurement, Control Charts |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Quality improvement in the business environment | | Week 2 | Methods of philosophy of statistical process control | | Week 3 | Statistical basis of control charts | | Week 4 | Quality control tools | | Week 5 | Control charts for attributes | | Week 6 | Control charts for attributes | | Week 7 | Control charts for attributes | | Week 8 | Control charts for attributes | | Week 9 | Midterm Exams | | Week 10 | CUSUM control charts | | Week 11 | EWMA control charts | | Week 12 | Control charts for multiple stream processes | | Week 13 | Multivariate control charts | | Week 14 | Process capability analysis | | Week 15 | Gage capability analysis | | Week 16 | Final Exam | | |
1 | Montgomery, D.C. Introduction to Statistical Quality Control, 5th Edition Wiley Higher Education, 2005 | | |
1 | Kartal, Mahmut, İstatistiksel Kalite Kontrolu, Şafak Yayınevi, Erzurum. 1999 | | 2 | Akın Besim, ISO 9000 Uygulamasında Örnekleme ve Numune Alma Teknikleri, Bilim Teknik Yayınevi, İstanbul-1997. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 01/01/2016 | 2 | 50 | End-of-term exam | 16 | 01/01/2016 | 2 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | |
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