MINE332 MINE SYSTEM ANALYSIS
| Course Code: | 5650332 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Mining Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assoc.Prof.Dr. MUSTAFA ERKAYAOĞLU |
| Offered Semester: | Spring Semesters. |
Course Objectives
At the end of this course, student will:
1. Know the fundamentals and basic concepts of linear algebra and array operations.
2. Formulate mathematical models with the emphasis on linear programs for problems related to decision-making situations encountered in mining industry.
3. Analyze and solve problems in the form of linear programming, integer programming, dynamic programming, transportation, transshipment, and assignments problem, network optimization, and simulation.
4. Know how to use computer programs on solving linear programs, integer programs, dynamic programs, and simulations.
Course Content
An introduction to the system analysis. Concepts and methods of system analysis organized around decision-making situations encountered in the mining industry. Development and solution of mathematical models for ore blending, mine transport, resource allocation, mine planning problems. Case studies and computer application for mine system analysis.
Prerequisite: MATH219
Course Learning Outcomes
Upon successful completion of the course, students should be able to:
1. Describe fundamentals of basic linear algebra, matrix operations, gauss-jordan elimination, linear optimization.
2. Formulate mathematical models of the optimization problems.
3. Solve linear programs using graphical methods and simplex algorithm and perform post-optimality analysis.
4. Solve integer programs using branch-and-bound and cutting plane algorithms.
5. Solve transportation, transhhipment, problems using transportation simplex method and assignment problems using Hungarian method.
6. Solve network optimization problems: shortest path, minimum spanning tree, maximum flow, and CPM/PERT problems.
7. Perform discrete event simulation.
8. Apply and use LINDO, LINGO, What’s Best, and Microsoft Excel softwares to solve linear and integer programming models and interpret the program outputs.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||