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Course Description Course Name : Particle Size Analysis Methods Course Code : MD-595 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Assoc.Prof.Dr. MEHMET YILDIRIM Learning Outcomes of the Course : Knows the importance of particle size distribution on concentration processes Knows the experiments used for determination of size distribution Understands the calculation of necessary data used for plotting curves Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Providing of knowledge on methods based on geometric similarity (microscope and sieving), methods based on hydrodynamic similarity (decantation, elutration, andreasan pipette), other methods (coulter-counter based on electric resistance), preparation of size distribution tables and plotting curves. Course Contents : Importance of particle size distribution on concentration processes Experiments used for determination of size distribution Understanding of calculation of necessary data used for plotting curves Language of Instruction : Turkish Work Place : Classrooms and laboratories of mining engineering department   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Importance of size reduction in mineral processing Literature survey Lecturing and problem solution 2 Importance of particle size liberation and coarsest particle size in mineral processing Literature survey Lecturing and problem solution 3 Sieving and selection of sieve Literature survey Lecturing and problem solution 4 Sieving analysis 1 Literature survey Lecturing and problem solution 5 Sieving analysis 2 Literature survey Lecturing and problem solution 6 Sieving analysis 3 Literature survey Lecturing and problem solution 7 Particle size analysis methods of fine particles (sedimentation theory and stokes equation) Literature survey Lecturing and problem solution 8 Particle size analysis methods of fine particles (andressan pipette) Literature survey Lecturing and problem solution 9 Particle size analysis methods of fine particles (elutration) Literature survey Lecturing and problem solution 10 Midterm Exam Classic written exam 11 Particle size analysis methods of fine particles (cyclosizer) Literature survey Lecturing and problem solution 12 Particle size analysis methods of fine particles (coulter-counter) Literature survey Lecturing and problem solution 13 Particle size analysis methods of fine particles (sedigraph 5000) Literature survey Lecturing and problem solution 14 Particle size analysis methods of fine particles (microscope) Literature survey Lecturing and problem solution 15 Final exam Classic written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)   A. F. Taggart, Handbook of Mineral Dressing Ores and Industrial Minerals, John Willey&Sons, Inc. 1945   B.A. Wills, Mineral Processing Technology, 3rd edition, 1985, Pergamon Press  J.M. Coulson, J. J. Richardson, Chemical Engineering Volume Two, 1978, Pergamon Press Ltd, Oxford, England. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 90     Homeworks/Projects/Others 1 10 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. 4 3 Has the ability to determine,formulate,and solve the problems related to mining engineering. 4 4 Has skills to prepare and evaluate projects which are related to mining engineering study subjects. 4 5 Having skill explained as attentions of scientific and social values and transferring of these values to others 3 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. 4 8 Has independent study, team study and interdisciplinary study skills. 3 9 Uses modern engineering, computer modeling and simulation programs in order to solve engineering problems and develop mining engineering projects. 4 10 Has systematic thinking and problem solution skills about mining engineering subjects and uses these abilities in interdisciplinary studies. 4 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. 3 * 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 5 70 Assesment Related Works     Homeworks, Projects, Others 1 14 14     Mid-term Exams (Written, Oral, etc.) 1 4 4     Final Exam 1 7 7 Total Workload: 151 Total Workload / 25 (h): 6.04 ECTS Credit: 6