Study program:
Mining Engineering (IV semester -PhD) |
Name of subject: Optimization for the Design of Underground Mines |
Instructors:
Prof. Zoran Gligorić |
Status: Optional |
ECTS: 10 |
Prerequisites: BSc, MSc |
Course Objectives: After learning the course, the students should be able to design underground mine using advanced methods and search the optimal solutions. |
Learning Outcomes: Underground Mining Engineer-High educated mine designer |
Content:
Theory teaching Introduction to underground mining. Simulation. Fuzzy sets theory. Graph theory. Fuzzy multicriteria decision making. Underground mine network modeling Practical teaching Simulation of costs. Fuzzified cost functions. Hybrid cost functions. Development of seam deposits by network modeling. Development of massive deposits by network modeling. Development of multiple orebody deposits. |
Suggested Reading List:
- Simeunović Veljko., 1995: Projektovanje rudnika sa podzemnom eksploatacijom ISBN 86-80887-63-3
- Zimmerman HJ (1992) Fuzzy set theory and its application, Kluwer Boston
- W.J DeCoursey: Statistics and Probability for Engineering Applications ISBN 7506-7618-3
- Zoran Gligorić, Optimizacija sistema otvaranja ležišta mrežnim modeliranjem, Monografija u štampi.
- Ching Lai Hwang, Kwangsun Yoon, Multiple Attribute Decision Making, ISBN 3-540-10558
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Conduct of the Course: Lectures |
Fund hours:
Lectures |
Exercises |
Other forms of teaching |
Study research |
4 |
0 |
0 |
0 |
|
Assessment:
Final Exam |
ECTS |
Oral Exam | 30 |
Classwork Assessment |
ECTS |
Class Participationа | 10 | Practical Classes | 20 | Seminars | 40 |
|
Additional Assessment Criteria: - |
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