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  Course Description
Course Name : Quality Control İn Mine Production

Course Code : MMD326

Course Type : Optional

Level of Course : First Cycle

Year of Study : 3

Course Semester : Spring (16 Weeks)

ECTS : 3

Name of Lecturer(s) : Assoc.Prof.Dr. SUPHİ URAL

Learning Outcomes of the Course : LISTS PRODUCTION QUALITY CONTROL TECHNIQUES.
DISTINGUISHES PROBLEMS ENCOUNTERED IN THE PROPER TECHNIQUE.
USES CONTROL GRAPHICS.
DOES ACCEPTANCE SAMPLING.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : MMD101 Mathematics I

Recommended Optional Programme Components : None

Aim(s) of Course : TO INFORM ABOUT THE APPLICATION OF STATISTICAL QUALITY CONTROL TECHNIQUES USED FOR THE PRODUCTION OF MINERAL IMPLEMENTS.

Course Contents : 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.

Language of Instruction : Turkish

Work Place : CLASSROOMS AND LABORATORİES OF THE DEPARTMENT ENGINEERING AND ARCHITECTURE


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 INTRODUCTION
2 PRODUCTION QUALITY CONTROL, HISTOGRAM, CONTROL CHART LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
3 FAULT TREE ANALYSIS, PARETO ANALYSIS LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
4 CONTROL CHARTS, X AND R CONTROL CHARTS LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
5 X AND S CONTROL CHARTS LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
6 GRAPHICS FOR THE CONTROL FEATURES LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
7 CUSUM CONTROL CHARTS LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
8 MIDTERM EXAM
9 ANALYSIS OF VARIANCE AND QUALITY CONTROL LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
10 ANALYSIS OF VARIANCE AND QUALITY CONTROL LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
11 ACCEPTANCE SAMPLING LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
12 PLAN CURVE LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
13 SAMPLING PLANS LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
14 QUALITY THAT MEAN LECTURE NOTES AND CITED LITERATURE REFERENCES LECTURE NOTES, POWERPOINT PRESENTATIONS, CALCULATOR
15 FINAL EXAM
16/17 FINAL EXAM


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  PRODUCTION QUALITY CONTROL COURSE NOTES, PROF DR SUPHI URAL, 2006,
Required Course Material(s)  STATISTICAL QUALITY CONTROL, PROF DR MAHMUT KARTAL, 1999


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 100
    Homeworks/Projects/Others 0 0
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
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
3 Students use the theoretical and practical knowledge in mathematics, physical sciences and their fields for engineering solutions 2
4 Students choose and use the appropriate analytical mehtods and modelling techniques to identify, formulate, and solve the engineering problems 1
5 Students design and carry out experiments, collect data, analyze and interpret the results. 2
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
7 Students choose and use the modern technical tools necessary for engineering practice. 3
8 Students gain the ability to work effectively both as an individual and in multi-disciplinary teams. 3
9 Students use the resources of information and databases for the purpose of doing research and accesing information. 3
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
11 Students use the information and communication technologies together with the computer software at the level required by the European Computer Driving Licence. 1
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
13 Students gain the ability to communicate using technical drawing. 5
14 Students become informed of professional and ethical responsibility. 5
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
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).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 13 2 26
    Out of Class Study (Preliminary Work, Practice) 13 3 39
Assesment Related Works
    Homeworks, Projects, Others 0 0 0
    Mid-term Exams (Written, Oral, etc.) 1 5 5
    Final Exam 1 5 5
Total Workload: 75
Total Workload / 25 (h): 3
ECTS Credit: 3