Information
Code | MD0090 |
Name | Operational Research Techniques in Mining |
Term | 2024-2025 Academic Year |
Semester | . Semester |
Duration (T+A) | 4-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 4 National Credit |
Teaching Language | Türkçe |
Level | Yüksek Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator |
Course Goal / Objective
The main purpose of this course is to define optimization techniques that can be applied in Mining Engineering.
Course Content
Introduction to mining system analysis, Linear algebra, Linear Programming, Integer Programming, Nonlinear Programming and Algorithms, Dynamic programming, Analytic hierarchy process.
Course Precondition
None
Resources
Hamdy A. Taha, Operations Research: Introduction, 2014 (Literature Publications)
Notes
Lecture notes
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Have information about the historical development of operations research techniques. |
LO02 | Have the ability to solve a problem with operations research techniques. |
LO03 | Have the ability to establish mathematical models. |
LO04 | Have the ability to analyze using computer software. |
LO05 | Have information about forecasting methods. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Uses the mathematics, science, and engineering knowledge gained in undergraduate education in the advanced solution of mining engineering problems. | 5 |
PLO02 | Bilgi - Kuramsal, Olgusal | Have advanced theoretical and applied knowledge in the fields of mining engineering. | 3 |
PLO03 | Bilgi - Kuramsal, Olgusal | Learns to independently conduct scientific and technical research on all subjects, including the field of specialization. | 3 |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Gains the ability to transfer scientific and social values to others at every stage of works. | 2 |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Have the ability to prepare projects related to the working subjects of mining engineering. | 4 |
PLO06 | Beceriler - Bilişsel, Uygulamalı | Have the ability to define, formulate and solve problems related to mining engineering at an advanced level. | 5 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Have the awareness of lifelong learning for professional development. | |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Have the ability to work independently, team work, and interdisciplinary. | 4 |
PLO09 | Yetkinlikler - Alana Özgü Yetkinlik | Uses modern engineering, computer modeling and simulation tools in the development of mining engineering projects and solving advanced engineering problems. | 5 |
PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Gains systematic thinking and problem solving abilities with the in-depth knowledge gained in the field of Mining Engineering. | 4 |
PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to use the in-depth knowledge gained in the field of Mining Engineering in interdisciplinary studies. | 3 |
PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Gains the ability to define a problem that requires expertise in the field of Mining Engineering. | 4 |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Gains the professional and ethical responsibility of mining engineering. | |
PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Comprehends the universal and social effects of mining engineering applications. | 2 |
PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to evaluate projects related to the study subjects of mining engineering. | 2 |
PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Gains the ability to interpret the results obtained in the solution of a problem that requires expertise in the field of Mining Engineering. | 4 |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | History of operations research techniques | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
2 | Use of operations research techniques in mining | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
3 | Linear programming method | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
4 | Establishing the optimization modelEstablishing the optimization model | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
5 | Solving the optimization model using a graphical method | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
6 | Solving the optimization model with computer software | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
7 | An example mining problem application | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
8 | Mid-Term Exam | Written examination | Ölçme Yöntemleri: Yazılı Sınav |
9 | Explaining the simplex method | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
10 | Explaining transportation models | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
11 | Solution methods of transportation problems | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
12 | Integer linear programming method | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
13 | Explaining prediction models | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
14 | Multi-criteria decision-making methods | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
15 | Analytic hierarchy process method | reading source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
16 | Term Exams | Written examination | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Written examination | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
Final Exam | 1 | 28 | 28 |
Total Workload (Hour) | 152 | ||
Total Workload / 25 (h) | 6,08 | ||
ECTS | 6 ECTS |