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Course Description Course Name : Fine Particles Processing Course Code : MD-510 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. OKTAY BAYAT Learning Outcomes of the Course : Students will learn how to process dust particles. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To provide the knowledge about fine grain enrichment to the graduated students Course Contents : Characterization of fine particles, physical-chemical properties, crystal formation, micro grinding, fluidized grinding, surface chemistry, ions, zeta potential, processing methods; flotation, flocculation, gravity, magnetic-electrostatic separation, column flotation, agglomeration, dewatering-filtering, waste management. 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 Fine grain and particle size formation Book reading Lecturing, slide presentation and discussion 2 Classification, mixing Book reading Lecturing, slide presentation and discussion 3 Characterization Book reading Lecturing, slide presentation and discussion 4 Surface chemistry Book reading Lecturing, slide presentation and discussion 5 Flotation and flocculation Book reading Lecturing, slide presentation and discussion 6 Magnetic separation Book reading Lecturing, slide presentation and discussion 7 Hydrometallurgy Book reading Lecturing, slide presentation and discussion 8 Agglomeration Book reading Lecturing, slide presentation and discussion 9 Mid term exam 10 Application Examples Book reading Lecturing, slide presentation and discussion 11 Application Examples Book reading Lecturing, slide presentation and discussion 12 Application Examples Book reading Lecturing, slide presentation and discussion 13 Application Examples Book reading Lecturing, slide presentation and discussion 14 Application Examples Book reading Lecturing, slide presentation and discussion 15 Application Examples Book reading Lecturing, slide presentation and discussion 16/17 Final exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Fine particles processing (vol 1-2), SME, 1980, P. Somasunduran.  SME Mineral Processing Handbook, N.L. Weiss, vol. 1-2, 1985. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 30     Homeworks/Projects/Others 3 70 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 5 65 Assesment Related Works     Homeworks, Projects, Others 3 8 24     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 3 3 Total Workload: 147 Total Workload / 25 (h): 5.88 ECTS Credit: 6