MDN635 - MODELLING APPLICATIONS IN MINERAL PROCESSING
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MODELLING APPLICATIONS IN MINERAL PROCESSING | MDN635 | Any Semester/Year | 3 | 0 | 3 | 7 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer | |||||
| Instructor (s) | Prof. Dr. Hakan Benzer | |||||
| Course objective | The course aims to describe the general modelling techniques and teaching the model strutures of size redution, classification and concentration unit operations. | |||||
| Learning outcomes |
| |||||
| Course Content | Teaching the model structures of size reduction, classification and processing unit operations. | |||||
| References | T. Napier-Munn, 1996, Mineral Comminution Circuits: Their Operation and Optimisation, Julius Kruttschnitt Mineral Research Centre, 1996 - 413 pages A. Mular, R.B. Bhappu, 1980, Mineral Processing Plant Design, Society of Mining Engineers of the American Institute of Mining, Metallurgical, and Petroleum Engineers, 1980 - Technology & Engineering - 946 pages R.P. King, 2001, Modelling and Simulation of Mineral Processing Systems, Elsevier 403 pages | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to modeling, terminology in modeling, mass balance |
| Week 2 | Crushing model structures |
| Week 3 | Modelling Exercise on a Typical Crushing Circuit |
| Week 4 | Classification, model structures |
| Week 5 | Modelling Exercise on a Classification Circuit Case Study |
| Week 6 | Grinding Model Structures |
| Week 7 | 1st midterm exam |
| Week 8 | Modelling Exercise on a Grinding Circuit-Case Study |
| Week 9 | Beneficiation Circuits Model Structures |
| Week 10 | Modelling Exercise on Various Beneficiation Circuits |
| Week 11 | Industrial Case Studies and Discussions |
| Week 12 | Industrial Case Studies and Discussions |
| Week 13 | Introduction to Simulation using the model structures |
| Week 14 | Testing of different simulation scenarios |
| Week 15 | Preparation for final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 3 | 10 |
| Presentation | 5 | 5 |
| Project | 1 | 15 |
| Seminar | 0 | 0 |
| Midterms | 1 | 30 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 10 | 60 |
| Percentage of final exam contributing grade succes | 1 | 40 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 12 | 5 | 60 |
| Presentation / Seminar Preparation | 5 | 4 | 20 |
| Project | 1 | 30 | 30 |
| Homework assignment | 3 | 10 | 30 |
| Midterms (Study duration) | 1 | 13 | 13 |
| Final Exam (Study duration) | 1 | 15 | 15 |
| Total Workload | 37 | 80 | 210 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. An ability to develop and use knowledge gained in undergraduate level for mining engineering in an advanced level. | X | ||||
| 2. An ability to have knowledge about up to date techniques and new developments in the field of mining engineering and learn them if necessary. | X | ||||
| 3. An ability to complete and apply knowledge from limited and incomplete data by using scientific methods. | X | ||||
| 4. An ability to determine causes of the problems and their solution methods aroused in the applications of mining engineering by using research techniques. | X | ||||
| 5. An ability to use advanced knowledge and skills gained in the field of mining engineering in the interdisciplinary works, to integrate them with knowledge from other disciplines, to interpret and to construct new knowledge. | X | ||||
| 6. An ability to work in multidisciplinary teams, and to develop the solutions for complex and unpredicted problems. | X | ||||
| 7. An ability to evaluate expert knowledge and skills with a critical approach. | X | ||||
| 8. An ability to assess critically advanced level knowledge and skill gained in the field of mining engineering. | X | ||||
| 9. Presenting studies to different groups in writing or orally, supporting them with qualitative and quantitative data. | X | ||||
| 10. Uses computer software and information-communication technologies required by the field. | X | ||||
| 11. Can audit all kinds of work in the field by taking into account social, scientific, environmental, cultural and ethical values. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest