Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Statistical Quality Control ENM308 Turkish Compulsory 6. Semester 3 + 0 3.0 6.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Classic presentation, slide show.
Course Coordinator Doç. Dr. Melike ERDOĞAN ALTUNBEY, Dr. Öğr. Üyesi Mustafa İsa DOĞAN
Instructor(s)
Goals To be able to develop cost-effective quality control systems by using statistical methods in production and service sector.
Course Content Histograms, producer and consumer risks, control diagrams, pareto diagrams, scattering diagrams, sampling techniques, single and double sampling techniques.
Learning Outcomes
# Öğrenme Kazanımı
1 The student recognizes the concepts of process and quality.
2 The student recognizes and applies the tools used in statistical quality control techniques.
3 The student can draw and interpret quality control charts.
4 The student can perform process capability analyses.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to the Course, Basic Concepts of Quality Interview, Presentation (Preparation)
2. Week Useful Statistical Methods in Quality Control and Development Interview
3. Week Probability Distributions and Basic Statistics Information Interview
4. Week Control Charts for Variables Interview
5. Week Control Charts for Variables Interview
6. Week Control charts for attributes Interview
7. Week Control charts for attributes Interview
8. Week Process Capability Analysis Interview
9. Week Process Capability Analysis Interview
10. Week Acceptance Sampling (Single Sampling Plans) Interview
11. Week Acceptance Sampling (Double Sampling Plans) Interview
12. Week Minitab Exercises Practice
13. Week Project Presentations of Students Research
14. Week Project Presentations of Students Research
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems
2 Gaining the ability to work actively in projects and projects aimed at professional development in both individual and multidisciplinary groups and taking responsibility in situations that may arise in this process
6 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
7 Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.
8 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 5 5 5 5
PY2 3 3 3 3
PY6 3 3 3 3
PY7 5 5 5 5
PY8 4 4 4 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Montgomery, Douglas C., Statistical Quality Control: A Modern Introduction, John Wiley & Sons, Inc, Seventh Edition, 2014.
  • Besterfield, D., Quality Control 7. ed. Prentice Hall, 2004.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Sınavlar
Midterm 1 1 31 31
Homework 1 1 30 30
Final 1 50 50
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0