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| MDML7232 | Application of Experimental Design in Mining | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of MINING ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Ersin Yener YAZICI | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Learning of use of statistical experimental design methods, selection of proper experimental design methods, analysis of the data and to achieve these goals learning of softwares in the fields of mining, mineral processing and extractive metallurgy |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Describe the use of experimental design methods | 1,3,5 | 1,5 | | PO - 2 : | Adopt experimental design methods in mining, mineral processing and extractive metallurgy applications | 1,3,5 | 1,5 | | PO - 3 : | Use softwares in experimental design and data analysis | 1,3,5 | 1,5 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Experimental design methods and their principles. Adoption of experimental design methods in the fields of mining, mineral processing and extractive metallurgy problems using real data. Softwares used in design of experiments and data analysis (Design-Expert, Minitab). |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to the module; objectives, scopes, resources, references and assessment. Overview of the course content. | | | Week 2 | Statistical Fundamentals of experimental design | | | Week 3 | Principles of experimental design methods (factorial design, Taguchi, response surface methods) | | | Week 4 | Use of experimentel design methods in engineering applications | | | Week 5 | Softwares used for experimental design and data analysis (Design-Expert ve Minitab) | | | Week 6 | Adoption of experimentel design methods to problems in mining | | | Week 7 | Applications in optimisation of crushing/grinding processes (software supported) | | | Week 8 | Mid-term exam | | | Week 9 | Applications in optimisation of gravity separation (software supported) | | | Week 10 | Applications in optimisation of magnetic and electrostatic separation (software supported) | | | Week 11 | Applications in optimisation of leaching processes (software supported) | | | Week 12 | Applications in optimisation of solution purification/metal recovery processes (software supported) | | | Week 13 | Case studies related with the research fields of the students ? 1 | | | Week 14 | Case studies related with the research fields of the students ? 2 | | | Week 15 | Case studies related with the research fields of the students ? 3 | | | Week 16 | Final exam | | | |
| 1 | Montgomery, D. C., 2001. Design and Analysis of Experiments. 5th ed. Wiley. | | | 2 | Antony, J., 2003. Design of Experiments for Engineers and Scientists. Butterworth-Heinemann. | | | 3 | Montgomery, D. C., 2010. Design and Analysis of Experiments, Minitab Manual. 7th ed. Wiley. | | | |
| 1 | Yazıcı, E, 2012, Doktora Tezi, 2012. KTU Maden Mühendisliği Bölümü. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | | | 30 | | In-term studies (second mid-term exam) | 15 | | | 20 | | End-of-term exam | 16 | | | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 4 | 14 | 56 | | Arasınav için hazırlık | 4 | 6 | 24 | | Arasınav | 1 | 1 | 1 | | Uygulama | 4 | 8 | 32 | | Ödev | 4 | 5 | 20 | | Kısa sınav | 1 | 4 | 4 | | Dönem sonu sınavı için hazırlık | 3 | 4 | 12 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 193 |
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