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| Course Description |
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| Course Name |
: |
Quality Engineering and Management |
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| Course Code |
: |
MTY-515 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Prof.Dr. RIZVAN EROL
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| Learning Outcomes of the Course |
: |
Uses Statistical Process Control(SPC) methods for process monitoring and improvement.
Selects and applies an appropriate control chart type for a selected process or product quality characteristics.
Analyzes capability of a process or a measurement system with a suitable standart.
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| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
The overall objective of this course is to investigate quality engineering and management approaches to monitor process quality and for production process design. These approaches are nominally statistical process control and management. |
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| Course Contents |
: |
Quality improvement approaches, modeling process quality, Statistical Process Control(SPC), control charts for process monitoring, process and measurement system capability, acceptance sampling plans, experimental design methods for improvement process, process optimization via statistical models. |
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| Language of Instruction |
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Turkish |
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| Work Place |
: |
IE classrooms |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Quality improvement approaches |
reading the related textbook chapter |
lecturing, discussion |
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2 |
Modeling process quality |
reading the related textbook chapter |
lecturing, discussion |
|
3 |
Modeling process quality |
reading the related textbook chapter |
lecturing, discussion |
|
4 |
Statistical Process Control(SPC) |
reading the related textbook chapter |
lecturing, discussion |
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5 |
Statistical Process Control(SPC) |
reading the related textbook chapter |
lecturing, discussion |
|
6 |
Control charts for variables |
reading the related textbook chapter |
lecturing, discussion |
|
7 |
Control charts for variables |
reading the related textbook chapter |
lecturing, discussion |
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8 |
Midterm Exam |
preparation for the exam |
written exam |
|
9 |
Control charts for attributes |
reading the related textbook chapter |
lecturing, discussion |
|
10 |
Other statistical problem solving tools |
reading the related textbook chapter |
lecturing, discussion |
|
11 |
Acceptance sampling plans |
reading the related textbook chapter |
lecturing, discussion |
|
12 |
Process and measurement system capability analysis |
reading the related textbook chapter |
lecturing, discussion |
|
13 |
Process designs and experimental projection methods to improve |
reading the related textbook chapter |
lecturing, discussion |
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14 |
Process optimization |
reading the related textbook chapter |
lecturing, discussion |
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15 |
Project presentations |
preparation for the exam |
presentations |
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16/17 |
Final Exam |
preparation for the exam |
written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 MONTGOMERY, D. C., 2005, Introduction To Statistical Quality Control (5th edition), John Wiley& Sons, Inc.
CHANDRA, M. J., 2001, Statistical Quality Control, CRC Press.
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
75 |
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Homeworks/Projects/Others |
5 |
25 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Understands, evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research. |
3 |
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2 |
Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations. |
4 |
|
3 |
Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge.
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3 |
|
4 |
Designs engineering problems, develops techniques to solve them, using innovative ways. |
4 |
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5 |
Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research. |
4 |
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6 |
Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for compicated solutions. |
3 |
|
7 |
Describes, gathers and uses necessary information and data. |
4 |
|
8 |
Has the ability of developing new and/or original ideas or techniques to come up with innovative solutions for designing systems, components or processes. |
3 |
|
9 |
Presents research findings systematically and clearly in oral or written forms in national or international meetings. |
3 |
|
10 |
Understands social and environmental implications of engineering practice. |
3 |
|
11 |
Considers social, scientific and ethical values in all professional activities and while collecting and analysing data and discussing the findings. |
3 |
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12 |
Keeps up with the latest developments in the field. |
3 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
5 |
7 |
35 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
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Final Exam |
1 |
10 |
10 |
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Total Workload: | 139 |
| Total Workload / 25 (h): | 5.56 |
| ECTS Credit: | 6 |
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