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Course Description Course Name : Special Area Course Course Code : YLMD-201 Course Type : Compulsory Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. MESUT ANIL Prof.Dr. ADEM ERSOY Prof.Dr. OKTAY BAYAT Assoc.Prof.Dr. MEHMET YILDIRIM Assoc.Prof.Dr. A.MAHMUT KILIÇ Assoc.Prof.Dr. AHMET DAĞ Assoc.Prof.Dr. ÖZEN KILIÇ Instructor NİL DÖNDERİCİ YAPICI Instructor TAYFUN YUSUF YÜNSEL Assoc.Prof.Dr. SUPHİ URAL Learning Outcomes of the Course : Accesses to new information and evaluates in a systematic manner using appropriate scientific methods Develops graduate-level knowledge acquired and applies scientific methods to develop and deepen Brings unique solutions to complex problems by critical analysis of new ideas Does Project planning and time management to develop alternative methods. Uses modern design methods and tools to design a process or a system Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : MD-501 Mine Prospection Methods MD-601 Legal Issues Welded Mining Activities MD-541 Risk Management MD-591 Statistical Quality Control in Mining MD-509 Advanced Mine Microscopy MD-557 Geostatistical Methods and Applications in Mining MD-603 MD-535 Water Problems and Proposal Solutions in Mines MD-537 Open Pit Mine Design MD-561 Computer Aided Design in Mining MD-539 Computer Application Techniques in Mining MD-581 Reclamation After Surface Mining MD-583 Systematic Mineralogy of Miners MD-589 Quantitative Decision Making Techniques in Mining Engineering I MD-595 Particle Size Analysis Methods MD-605 Occupational Accidents and Repeting Techniques MD-607 Industrial Raw Materials and Thermal Behaviour MD-611 Mineral Wastes Recycling MD-613 Experimental Rock Mechanics MD-615 Project Management in Mining MD-599 Physicochemical Operations and Mineral Processing Recommended Optional Programme Components : None Aim(s) of Course : Master´s level of expertise acquired with specific ideas for supporting and using scientific research methods, solve complex engineering problems and to follow innovations in mining engineering, analysis and implementation skills, flexibility to adapt to new technologies and interdisciplinary knowledge base to have. Science and investigate the events to a broader and deeper perspective and gain the ability to determine the necessary steps to achieve a new synthesis. Course Contents : Subject of the thesis, carried out with the support of the advisor Language of Instruction : Turkish Work Place : Master room   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 2 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 3 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 4 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 5 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 6 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 7 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 8 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 9 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 10 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 11 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 12 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 13 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE 14 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION,EXPERIMENTAL STUDY PREPARE TO REQUEST SUPERVISER FACE TO FACE   Required Course Resources Resource Type Resource Name Recommended Course Material(s) Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 0 0     Homeworks/Projects/Others 5 100 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) 14 4 56     Out of Class Study (Preliminary Work, Practice) 14 2 28 Assesment Related Works     Homeworks, Projects, Others 5 15 75     Mid-term Exams (Written, Oral, etc.) 0 0 0     Final Exam 0 0 0 Total Workload: 159 Total Workload / 25 (h): 6.36 ECTS Credit: 6