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| Course Description |
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| Course Name |
: |
Statistical Quality Control |
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| Course Code |
: |
İSB322 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
3 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Assoc.Prof.Dr. MAHMUDE REVAN ÖZKALE
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| Learning Outcomes of the Course |
: |
Use basic statistical techniques such as check sheet, histogram, pareto chart, cause and effect diagram, defect concentration diagram, scatter diagram
Explain the basics of statistical control charts
Distinguish between quantitative and qualitative control charts
Explain the importance of cumulative sum (CUSUM), exponentially weighted moving average (EWMA) and the moving average (MA) control charts
Interpret the control charts
Distinguish between process adequacy indices
Explain the role of acceptance sampling in quality control studies
Use statistical package programs for plotting control charts
Estimate the parameters of the process
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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 |
: |
To determine whether the products derived after the completion of the production or during the production are at the desired quality and to apply the statistical techniques in order to provide the desired quality |
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| Course Contents |
: |
Introduction to the concept of quality, control charts for variables and attributes, cumulative sum, exponentially weighted moving average and moving average control charts, process capability analysis, acceptance sampling |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Faculty of Arts and Sciences Annex Classrooms |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Quality, history and basic concepts |
Source reading |
Lecture |
|
2 |
Statistical quality control methods |
Source reading |
Lecture |
|
3 |
Selection of control charts and control limits |
Source reading |
Lecture |
|
4 |
x_bar and R control charts |
Source reading |
Lecture, problem-solving, using statistical package program |
|
5 |
x_bar and S control charts |
Source reading |
Lecture, problem-solving, using statistical package program |
|
6 |
p and np control charts |
Source reading |
Lecture, problem-solving, using statistical package program |
|
7 |
c and u control charts |
Source reading |
Lecture, problem-solving, using statistical package program |
|
8 |
mid-term exam |
Review the topics discussed in the lecture notes and sources |
Written exam |
|
9 |
Cumulative control (CUSUM) charts |
Source reading |
Lecture, problem-solving, using statistical package program |
|
10 |
Exponentially weighted moving average (EWMA) control charts |
Source reading |
Lecture, problem-solving, using statistical package program |
|
11 |
Moving average (MA) control charts |
Source reading |
Lecture, problem-solving, using statistical package program |
|
12 |
Process Capability Analysis |
Source reading |
Lecture, problem-solving |
|
13 |
Process Capability Analysis |
Source reading |
Lecture, problem-solving |
|
14 |
Acceptance Sampling |
Source reading |
Lecture, problem-solving |
|
15 |
Acceptance Sampling |
Source reading |
Lecture, problem-solving |
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16/17 |
Final exam |
Review the topics discussed in the lecture notes and sources |
Written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 1. Montgomery, D. C. (2009), Introduction to Statistical Quality Control. John Wiley & Sons
2. Bircan, H., Özcan, S. (2003), Excel Uygulamalı Kalite Kontrol. Yargı Yayınevi
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| |
| Required Course Material(s) |
Grant E. L., Leavenworth R. S. (1996). Statistical Quality Control (McGraw-Hill Series in Industrial Engineering and Management), McGraw-Hill; 7th edition.
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
80 |
|
Homeworks/Projects/Others |
1 |
20 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
|
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 |
Utilize computer systems and softwares |
0 |
|
2 |
Apply the statistical analyze methods |
4 |
|
3 |
Make statistical inference(estimation, hypothesis tests etc.) |
2 |
|
4 |
Generate solutions for the problems in other disciplines by using statistical techniques |
4 |
|
5 |
Discover the visual, database and web programming techniques and posses the ability of writing programme |
0 |
|
6 |
Construct a model and analyze it by using statistical packages |
5 |
|
7 |
Distinguish the difference between the statistical methods |
4 |
|
8 |
Be aware of the interaction between the disciplines related to statistics |
3 |
|
9 |
Make oral and visual presentation for the results of statistical methods |
4 |
|
10 |
Have capability on effective and productive work in a group and individually |
1 |
|
11 |
Develop scientific and ethical values in the fields of statistics-and scientific data collection |
4 |
|
12 |
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics |
2 |
|
13 |
Emphasize the importance of Statistics in life |
5 |
|
14 |
Define basic principles and concepts in the field of Law and Economics |
0 |
|
15 |
Produce numeric and statistical solutions in order to overcome the problems |
4 |
|
16 |
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events |
3 |
|
17 |
Use proper methods and techniques to gather and/or to arrange the data |
5 |
|
18 |
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs |
0 |
| * 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 |
|
Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
1 |
20 |
20 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
15 |
15 |
|
Final Exam |
1 |
25 |
25 |
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Total Workload: | 144 |
| Total Workload / 25 (h): | 5.76 |
| ECTS Credit: | 6 |
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