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| IST4021 | Statistical Quality Control | 4+0+0 | ECTS:6 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Arş. Gör. Yeşim AKBAŞ | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | This course explains how to use Statistical quality control techniques used to control and improve business processes in order to improve the quality of products, which are of vital importance for the survival and growth of businesses in today's competitive environment. It is aimed that students have knowledge about general quality control methods, control charts, process capability analysis, measurement systems analysis. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Have knowledge about quality control | 1,2,3,8 | 1, | | LO - 2 : | Can draw and interpret quality control charts | 1,2,3,8 | 1, | | LO - 3 : | Can analyze quality-related problems and develop solutions | 1,2,3,8 | 1, | | LO - 4 : | Gains the ability to perform process analysis and improvement | 1,2,3,8 | 1, | | 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), LO : Learning Outcome | | |
| Introduction to quality management, quality concept, basic concepts of quality, basics of statistics, statistical data analysis, Pareto diagram, cause-effect diagram, checklists, scatter diagram, root leaf diagram boxplot and outlier analysis, fundamentals of probability, probability distributions, statistical process control, process variability, control charts, control diagrams computer applications, process capability analysis, process capability indexes, six sigma and measurement systems analysis |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to quality management, quality concept, basic concepts of quality, basics of statistics | | | Week 2 | Fundamentals of statistics, measures of central tendency, measures of central dispersion | | | Week 3 | statistical data analysis, Pareto diagram, cause-effect diagram, checklists, scatter diagram, root leaf diagram boxplot and outlier analysis, | | | Week 4 | Fundamentals of probability, probability distributions, prediction | | | Week 5 | Acceptance sampling | | | Week 6 | Introduction to variation and control diagrams. | | | Week 7 | statistical process control, process variability, control charts | | | Week 8 | Control diagrams for measurable variables | | | Week 9 | Midterm | | | Week 10 | Control charts for unmeasurable variables | | | Week 11 | Control diagrams computer applications | | | Week 12 | Control diagrams computer applications | | | Week 13 | process capability analysis, process capability indexes, | | | Week 14 | Six sigma | | | Week 15 | Measurement systems analysis | | | Week 16 | Final Exam | | | |
| 1 | Birgören, B., 2020; İstatistiksel Kalite Kontrolü, NOBEL AKADEMİK YAYINCILIK,
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| 1 | Şenol, Ş., 2012; İstatistiksel Kalite Kontrol, NOBEL AKADEMİK YAYINCILIK,
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| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 30.11.2023 | 90 | 50 | | End-of-term exam | 16 | 10.01.2024 | 90 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 4 | 16 | 64 | | Arasınav için hazırlık | 2 | 8 | 16 | | Arasınav | 2 | 1 | 2 | | Dönem sonu sınavı | 2 | 8 | 16 | | Total work load | | | 98 |
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