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Course Description Course Name : Statistical Quality Control in Mining Course Code : MD-591 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. OKTAY BAYAT Learning Outcomes of the Course : Knows the principles of the statistical process control methods. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Teaching the principles of statistical quality control and mining practices for Master´s-level students to ensure having a detailed knowledge pon the subject.. Course Contents : Statistics, statistics & quality control relationship, statistical quality control techniques; histogram, pareto chart, cause-effect diagram, control chart, scatter diagram, check sheet, monitoring, data collection, analysis methods, sampling plans, some applications; ceramic, cement, glass and brick industry. Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Statistic principles Book reading Lecture, slides, discussion 2 Data Book reading Lecture, slides, discussion 3 Checking cards Book reading Lecture, slides, discussion 4 Processs evaluation Book reading Lecture, slides, discussion 5 Sampling Book reading Lecture, slides, discussion 6 Control methods Book reading Lecture, slides, discussion 7 Control methods Book reading Lecture, slides, discussion 8 Control methods Book reading Lecture, slides, discussion 9 Mid term exam - - 10 Examples Book reading Lecture, slides, discussion 11 Examples Book reading Lecture, slides, discussion 12 Examples Book reading Lecture, slides, discussion 13 Examples Book reading Lecture, slides, discussion 14 Examples Book reading Lecture, slides, discussion 15 Examples Book reading Lecture, slides, discussion 16/17 Final exam - -   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Elementary statistical quality control, J.T. Burr, Dekker, 2005.  P. R. Krishnaiah, ed., Handbook of Statistics, VoL 11, @North-Holland Publishing Company (1980). Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 50     Homeworks/Projects/Others 3 50 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 Uses knowledge of math, science and engineering in order to solve mining engineering problems 5 2 Has advanced theorical and practical knowledge in mining engineering area. 5 3 Has the ability to determine,formulate,and solve the problems related to mining engineering. 5 4 Has skills to prepare and evaluate projects which are related to mining engineering study subjects. 5 5 Having skill explained as attentions of scientific and social values and transferring of these values to others 5 6 Does research on scientific and technical subjects including profession independentlly, makes a written or oral presentation about research results. 5 7 Has awareness of lifelong learning for professional development, follows new applications for study area and uses resources effectively. 5 8 Has independent study, team study and interdisciplinary study skills. 5 9 Uses modern engineering, computer modeling and simulation programs in order to solve engineering problems and develop mining engineering projects. 5 10 Has systematic thinking and problem solution skills about mining engineering subjects and uses these abilities in interdisciplinary studies. 5 11 Determines the problems independently, thinking of development of new solution methods and result evaluation skills in mining engineering area. 5 12 Understands the applications of mining engineering on universal and social effects, has responsibility for using natural resource effectively as ethical. 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 4 52     Out of Class Study (Preliminary Work, Practice) 13 4 52 Assesment Related Works     Homeworks, Projects, Others 3 10 30     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 3 3 Total Workload: 140 Total Workload / 25 (h): 5.6 ECTS Credit: 6