MDN645 - EVALUATION of MINING PROJECTS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| EVALUATION of MINING PROJECTS | MDN645 | 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 Discussion Question and Answer Case Study | |||||
| Instructor (s) | Prof. Dr. A. Erhan TERCAN | |||||
| Course objective | An ability to evaluate the mining projects | |||||
| Learning outcomes |
| |||||
| Course Content | Concept of value. Income based evaluation. Comparing the projects which have different life times and selecting the best option. Net present value analysis. Risk analysis in mining projects. Project analysis using Monte-Carlo simulation. Dynamic real options. | |||||
| References | Australian Mineral Economics Monograph 24 ? A Survey of Important Issues (2006), Philip Maxwell and Pietro Guj (Ed.), published by The Australian Institute of Mining and Metallurgy (AusIMM), Carlton, Victoria, Australia. Torries, T.F., 1998, Evaluating Mineral Projects: applications and misconceptions, Sociate of Mining, Metallurgy and Exploration. Noabes, M. and T. Lanz (Eds.) 1993, Cost Estimation Handbook for the Australian Mining Industry, Monograph #20, The Australasian Institute of Mining and Metallurgy (AusIMM), Sydney, New South Wales, Australia.. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to mining project evaluation and concept of value |
| Week 2 | Income based evaluation |
| Week 3 | Discounted cash flow |
| Week 4 | Comparison of the projects having different life times |
| Week 5 | Net present value analysis / Risk analysis |
| Week 6 | Stochastic financial models and Monte Carlo simulation |
| Week 7 | Bayesian decision tree and progressive risk and value analysis |
| Week 8 | Dynamic real options |
| Week 9 | Evaluation of the assignments |
| Week 10 | Case study |
| Week 11 | Case study |
| Week 12 | Case study |
| Week 13 | Case study |
| Week 14 | Case study |
| Week 15 | Student presentations |
| 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 | 25 |
| Presentation | 1 | 25 |
| Project | 1 | 50 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 0 | 0 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 50 |
| Percentage of final exam contributing grade succes | 0 | 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) | 13 | 5 | 65 |
| Presentation / Seminar Preparation | 1 | 20 | 20 |
| Project | 1 | 65 | 65 |
| Homework assignment | 1 | 20 | 20 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 0 | 0 | 0 |
| Total Workload | 30 | 113 | 212 |
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