MD0090 Operational Research Techniques in Mining

6 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

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

Update Time: 16.05.2024 02:25