| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Quality Control | MKP223 | Elective | Associate degree | 2 | Fall | 4 |
Name of Lecturer(s)
Assistant Prof. Dr. Yaşar BİLGİN
Assistant Prof. Dr. Nilgün İNCE ÇİÇEK
Lecturer Ferit ARTKIN
Lecturer Hasip UZUNKAYA
Learning Outcomes of the Course Unit
1) Explain the important of quality control.
2) Recognize the function of quality control department in machine industry.
3) Explain statistical quality control concepts.
4) Apply central tendency and variation measurement and application in samples.
5) Evaluate probability distributions.
6) Explain the application histogram, pareto chart, cause and effect diagram, scatter diagram and control chart.
7) Synthesize the machine and capability.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | ||
| Learning Outcomes | |||||||||||||||||||||
| 1 | No relation | No relation | Middle | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | No relation | No relation | Middle | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | No relation | No relation | Middle | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | Middle | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | No relation | No relation | High | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | No relation | No relation | Middle | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 7 | No relation | No relation | High | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
The definition and methods of quality control. The explaining of statistical quality control concepts. Probability distributions. The seven QC tools. The process capability analysis and machine capability analysis. The sampling inspection plans and its applications.
Weekly Schedule
1) The definition and methods of quality control, the relationship between production and quality control, the quality control unit of measurement and quality control devices.2) The concept of statistical quality control, advantages, techniques
3) Data collection and compilation of information
4) Arithmetic mean, median, mod. the quality control unit of measurement and quality control devices.
5) Standard deviation and variance
6) Statistical quality control concept, advantages and techniques
7) Probability distributions
8) Midterm examination/Assessment
9) The seven QC tools: scoreboard table, histogram, pareto chart
10) Cause and effect diagram, grouping, scatter diagram
11) Control chart (X, R)
12) Control chart (p,np,u,c)
13) The process and machine capability analysis.
14) Inspection and acceptance sampling
15) The sampling inspection plans and its applications.
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Lab / Workshop
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
50% |
|---|---|
Contribution of Final Examination to Course Grade |
50% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required