| Course Name |
Statistical Quality Control
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
IE 334
|
SPRING
|
2
|
2
|
3
|
7
|
| Prerequisites | MATH 236 To succeed (To get a grade of at least DD) | |||||
| Course Language | English | |||||
| Course Type | Required (Core Course) | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | Face to face | |||||
| Teaching Methods and Techniques of the Course | Problem solving Experiment/Laboratory/Application Lecture/Presentation | |||||
| National Occupational Classification Code | - | |||||
| Course Coordinator |
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| Course Lecturer(s) |
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| Assistant(s) | - | |||||
| Course Objectives | This course aims to provide information about quality costs, fundamental topics related to quality control, tools, statistical methods, and acceptance sampling methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
|
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| Course Description | This course covers quality concept, quality costs, statistical methods (confidence intervals, hypothesis testing, analysis of variance), problem identification tools, control charts for variables and attributes, process capability analysis, measurement system analysis, acceptance sampling methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
-
|
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|
|
Core Courses |
X
|
| Major Area Courses |
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| Supportive Courses |
|
|
| Media and Managment Skills Courses |
|
|
| Transferable Skill Courses |
|
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Quality Concept and Quality Costs | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 1, s. 3-47 | LO1 |
| 2 | Statistical Models for Data Characterization | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 3, s.67-79 | LO2 |
| 3 | Statistical Models for Data Characterization | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 3, 80-102 | LO2 |
| 4 | Inferences About Process Quality | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 4, s. 117-150 | LO3 |
| 5 | Statistical Basis of the Control Chart, Problem Identification Tools | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 5, s. 187-210 | LO3 |
| 6 | Control Charts for Variables | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 6, 234-258 | LO4 |
| 7 | Control Charts for Variables | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 6, 259-276 | LO4 |
| 8 | Midterm Exam | - | |
| 9 | Control Charts for Attributes | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 7, s.297-316 | LO4 |
| 10 | Control Charts for Attributes | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 7, s. 317-339 | LO4 |
| 11 | Process Capability Analysis | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 8, s. 355-378 | LO5 |
| 12 | Measurement System Analysis | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 8, s.379-395 | LO5 |
| 13 | Introduction to Statistical Experimental Design | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 13, s. 563-569 | LO6 |
| 14 | Factorial Designs | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 13, 570-590 | LO6 |
| 15 | Review semester | - | |
| 16 | Final Exam | - |
| Course Notes/Textbooks | Montgomery D.C. Introduction to Statistical Quality Control (7th Edition) |
| Suggested Readings/Materials | - |
| Semester Activities | Number | Weighting | LO1 | LO2 | LO3 | LO4 | LO5 | LO6 |
| Laboratory / Application | 1 | 20 | X | X | X | X | X | X |
| Midterm | 1 | 25 | X | X | X | X | ||
| Final Exam | 1 | 40 | X | X | X | X | X | X |
| Project | 1 | 15 | X | |||||
| Total | 4 | 100 |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 2 | 32 |
| Laboratory / Application Hours | 16 | 2 | 32 |
| Study Hours Out of Class | 14 | 4 | 56 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | - | - | - |
| Portfolio | - | - | - |
| Homework / Assignments | - | - | - |
| Presentation / Jury | - | - | - |
| Project | 1 | 25 | 25 |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 25 | 25 |
| Final Exam | 1 | 40 | 40 |
| Total | 210 |
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 |
Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems. |
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| 1 |
Mathematics |
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| 2 |
Science |
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| 3 |
Basic Engineering |
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| 4 |
Computation |
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| 5 |
Related engineering discipline-specific topics |
LO6 | |||||
| 6 |
The ability to apply this knowledge to solve complex engineering problems |
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| 2 |
Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed. |
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| 3 |
Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions. |
||||||
| 1 |
Ability to design creative solutions to complex engineering problems |
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| 2 |
Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions |
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| 4 |
Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations. |
LO1 LO4 | LO3 LO5 | ||||
| 5 |
Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results. |
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| 1 |
Literature research for the study of complex engineering problems |
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| 2 |
Designing experiments |
LO2 | |||||
| 3 |
Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results |
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| 6 |
Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions. |
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| 1 |
Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals |
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| 2 |
Awareness of the legal implications of engineering solutions |
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| 7 |
Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity. |
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| 1 |
Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility |
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| 2 |
Awareness of being impartial and inclusive of diversity, without discriminating on any subject |
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| 8 |
Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid). |
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| 1 |
Ability to work individually and within the discipline |
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| 2 |
Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid) |
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| 9 |
Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues. |
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| 1 |
Ability to communicate verbally |
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| 2 |
Ability to communicate effectively in writing |
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| 10 |
Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. |
||||||
| 1 |
Knowledge of business practices such as project management and economic feasibility analysis |
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| 2 |
Awareness of entrepreneurship and innovation |
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| 11 |
Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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