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Course Description |
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Course Name |
: |
Quality Control İn Mine Production |
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Course Code |
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MMD326 |
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Course Type |
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Optional |
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Level of Course |
: |
First Cycle |
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Year of Study |
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3 |
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Course Semester |
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Spring (16 Weeks) |
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ECTS |
: |
3 |
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Name of Lecturer(s) |
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Assoc.Prof.Dr. SUPHİ URAL |
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Learning Outcomes of the Course |
: |
LISTS PRODUCTION QUALITY CONTROL TECHNIQUES. DISTINGUISHES PROBLEMS ENCOUNTERED IN THE PROPER TECHNIQUE. USES CONTROL GRAPHICS. DOES ACCEPTANCE SAMPLING.
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
: |
MMD101 Mathematics I
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Recommended Optional Programme Components |
: |
None |
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Aim(s) of Course |
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TO INFORM ABOUT THE APPLICATION OF STATISTICAL QUALITY CONTROL TECHNIQUES USED FOR THE PRODUCTION OF MINERAL IMPLEMENTS. |
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Course Contents |
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QUALITY CONTROL TECHNIQUES / PRODUCTION QUALITY CONTROL / CONTROL GRAPHICS / VARIANCE ANALYSIS AND QUALITY CONTROL / MATERIAL STORAGE AND METHODS OF STOCK / QUALITY CONTROL MANAGEMENT PRACTICES COAL AND LIMESTONE. |
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Language of Instruction |
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Turkish |
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Work Place |
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CLASSROOMS AND LABORATORİES OF THE DEPARTMENT ENGINEERING AND ARCHITECTURE |
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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 |
INTRODUCTION |
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2 |
PRODUCTION QUALITY CONTROL, HISTOGRAM, CONTROL CHART |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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3 |
FAULT TREE ANALYSIS, PARETO ANALYSIS |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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4 |
CONTROL CHARTS, X AND R CONTROL CHARTS |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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5 |
X AND S CONTROL CHARTS |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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6 |
GRAPHICS FOR THE CONTROL FEATURES |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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7 |
CUSUM CONTROL CHARTS |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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8 |
MIDTERM EXAM |
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9 |
ANALYSIS OF VARIANCE AND QUALITY CONTROL |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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10 |
ANALYSIS OF VARIANCE AND QUALITY CONTROL |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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11 |
ACCEPTANCE SAMPLING |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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12 |
PLAN CURVE |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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13 |
SAMPLING PLANS |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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14 |
QUALITY THAT MEAN |
LECTURE NOTES AND CITED LITERATURE REFERENCES |
LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR |
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15 |
FINAL EXAM |
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16/17 |
FINAL EXAM |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
PRODUCTION QUALITY CONTROL COURSE NOTES, PROF DR SUPHI URAL, 2006,
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| Required Course Material(s) |
STATISTICAL QUALITY CONTROL, PROF DR MAHMUT KARTAL, 1999
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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 |
100 |
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Homeworks/Projects/Others |
0 |
0 |
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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
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Students gain adequate knowledge about the engineering fields in the branches of mathematics, physical sciences or their own branches |
1 |
|
2 |
Students follow the current developments in their fields with a recognition of the need for lifelong learning and constantly improve themselves |
2 |
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3 |
Students use the theoretical and practical knowledge in mathematics, physical sciences and their fields for engineering solutions |
2 |
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4 |
Students choose and use the appropriate analytical mehtods and modelling techniques to identify, formulate, and solve the engineering problems |
1 |
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5 |
Students design and carry out experiments, collect data, analyze and interpret the results. |
2 |
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6 |
Students gain the capacity to analyze a system, a component, and desing the process under realistic constraints to meet the desired requirements; and the ability to apply the methods of modern design accordingly |
4 |
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7 |
Students choose and use the modern technical tools necessary for engineering practice. |
3 |
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8 |
Students gain the ability to work effectively both as an individual and in multi-disciplinary teams. |
3 |
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9 |
Students use the resources of information and databases for the purpose of doing research and accesing information. |
3 |
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10 |
Students follow the scientific and technological developments in recognition of the need for lifelong learning, and continuously keep their knowledge up to date. |
4 |
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11 |
Students use the information and communication technologies together with the computer software at the level required by the European Computer Driving Licence. |
1 |
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12 |
Students use a foreign language according to the general level of European Language Portfolio B1 to communicate effectively in oral and written form. |
5 |
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13 |
Students gain the ability to communicate using technical drawing. |
5 |
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14 |
Students become informed of professional and ethical responsibility. |
5 |
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15 |
Students develop an awareness as regards project management, workplace practices, employee health, environmental and occupational safety; and the legal implications of engineering applications. |
3 |
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16 |
Students develop an awareness of the universal and social effects of engineering solutions and applications, the entrepreneurship and innovation subjects and gain knowledge of contemporary issues |
5 |
| * 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) |
13 |
2 |
26 |
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Out of Class Study (Preliminary Work, Practice) |
13 |
3 |
39 |
| Assesment Related Works |
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Homeworks, Projects, Others |
0 |
0 |
0 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
5 |
5 |
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Final Exam |
1 |
5 |
5 |
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Total Workload: | 75 |
| Total Workload / 25 (h): | 3 |
| ECTS Credit: | 3 |
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