MDN612 - MINING EQUIPMENT II
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MINING EQUIPMENT II | MDN612 | 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. Yılmaz Özçelik | |||||
| Course objective | The aim of this course is to explain the students to the functions, costs and usage areas of some main and auxiliary machines used in natural stone processing plants. | |||||
| Learning outcomes |
| |||||
| Course Content | The main and auxiliary equipment used in marble processing plants; machinery and equipment selection in plants; business organisation; comparison of capacities and cost of marble processing plants machinery. | |||||
| References | Kulaksız, S., 2005, Doğal Taş (Mermer) İşletmeciliği ve İşletme Teknolojileri, Maden Mühendisleri Odası Yayını No: 102, Ankara, 624 s. Primavori, P., 2002, Technological Developments and the State-of-the Art in Machinery and Installations For Extracting and Processing Stone Materials, Marmomachine Directory 2002, Associazione Italiana Marmomacchine, pp.40-197. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Machines used in natural stone processing plants |
| Week 2 | Gangsaws |
| Week 3 | Circular saw cutting machines |
| Week 4 | Water jets cutting machines |
| Week 5 | Diamond wire cutting machines |
| Week 6 | Marble surface treatment machines |
| Week 7 | Granite surface treatment machines |
| Week 8 | Midterm exam |
| Week 9 | Flow chart creation for marble processing plants |
| Week 10 | Flow chart creation for marble processing plants |
| Week 11 | Flow chart creation for marble processing plants |
| Week 12 | Flow chart creation for marble processing plants |
| Week 13 | Student presentations |
| Week 14 | Student presentations |
| 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 | 1 | 15 |
| Presentation | 1 | 15 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 3 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| 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) | 11 | 10 | 110 |
| Presentation / Seminar Preparation | 1 | 14 | 14 |
| Project | 0 | 0 | 0 |
| Homework assignment | 1 | 14 | 14 |
| Midterms (Study duration) | 1 | 15 | 15 |
| Final Exam (Study duration) | 1 | 15 | 15 |
| Total Workload | 29 | 71 | 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