Course Description |
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Course Name |
: |
Modelling Techniques of Deposits |
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Course Code |
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MD-563 |
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Course Type |
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Optional |
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Level of Course |
: |
Second Cycle |
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Year of Study |
: |
1 |
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Course Semester |
: |
Fall (16 Weeks) |
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ECTS |
: |
6 |
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Name of Lecturer(s) |
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Assoc.Prof.Dr. AHMET DAĞ |
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Learning Outcomes of the Course |
: |
Know deposit modeling technics and its concepts. Prepare data for modeling. Test performance of modeling methods. Develop a deposit model.
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
: |
None |
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Recommended Optional Programme Components |
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None |
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Aim(s) of Course |
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To teach mine modeling methods to students and to gain ability on deposit model developing . |
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Course Contents |
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Describing of geometric, weight to distance and jeoistatistic forecasting methods, data arrange, variograms using at geostatistic, variogram parameters and determination of this parameters. |
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Language of Instruction |
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Turkish |
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Work Place |
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Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Deposit modeling concepts |
Source reading |
Face to face lecture and practise |
|
2 |
Modeling methods |
Source reading |
Face to face lecture and practise |
|
3 |
Data prepariing |
Source reading |
Face to face lecture and practise |
|
4 |
Geometric modeling |
Source reading |
Face to face lecture and practise |
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5 |
Geometric modeling |
Source reading |
Face to face lecture and practise |
|
6 |
Geostatistical modeling |
Source reading |
Face to face lecture and practise |
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7 |
Geostatistical modeling |
Sources reading |
Face to face lecture and practise |
|
8 |
Modeling with fuzzy logic |
Source reading |
Face to face lecture and practise |
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9 |
Modeling with fuzzy logic |
Source reading |
Face to face lecture and practise |
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10 |
Performance testing of modeling methods |
Source reading |
Face to face lecture and practise |
|
11 |
Midterm exam |
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Written examination |
|
12 |
Performance testing of modeling methods |
Source reading |
Face to face lecture and practise |
|
13 |
Application |
Source reading |
Face to face lecture and practise |
|
14 |
Application |
Source reading |
Face to face lecture and practise |
|
15 |
Application |
Source reading |
Face to face lecture and practise |
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16/17 |
Final Exam |
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Written examination |
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| 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. |
3 |
|
4 |
Has skills to prepare and evaluate projects which are related to mining engineering study subjects. |
4 |
|
5 |
Having skill explained as attentions of scientific and social values and transferring of these values to others |
0 |
|
6 |
Does research on scientific and technical subjects including profession independentlly, makes a written or oral presentation about research results. |
0 |
|
7 |
Has awareness of lifelong learning for professional development, follows new applications for study area and uses resources effectively. |
0 |
|
8 |
Has independent study, team study and interdisciplinary study skills. |
3 |
|
9 |
Uses modern engineering, computer modeling and simulation programs in order to solve engineering problems and develop mining engineering projects. |
3 |
|
10 |
Has systematic thinking and problem solution skills about mining engineering subjects and uses these abilities in interdisciplinary studies. |
4 |
|
11 |
Determines the problems independently, thinking of development of new solution methods and result evaluation skills in mining engineering area. |
4 |
|
12 |
Understands the applications of mining engineering on universal and social effects, has responsibility for using natural resource effectively as ethical. |
3 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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