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 Master’s Degree (Second Cycle)

  Course Description
Course Name : Special Area Course

Course Code : YLMD-200

Course Type : Compulsory

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. MESUT ANIL
Prof.Dr. ADEM ERSOY
Prof.Dr. OKTAY BAYAT
Assoc.Prof.Dr. A.MAHMUT KILIÇ
Assoc.Prof.Dr. ÖZEN KILIÇ
Assoc.Prof.Dr. AHMET DAĞ
Asst.Prof.Dr. HÜSEYİN VAPUR
Instructor NİL DÖNDERİCİ YAPICI
Instructor TAYFUN YUSUF YÜNSEL
Assoc.Prof.Dr. SUPHİ URAL

Learning Outcomes of the Course : Accesses to new information and evaluates in a systematic manner using appropriate scientific methods
Accesses to new information and evaluates in a systematic manner using appropriate scientific methods
Brings unique solutions to complex problems by critical analysis of new ideas
Does Project planning and time management to develop alternative methods.
Constantly improves itself by following scientific developments

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : MD-500 Coal Technology
MD-504 Transport Methods in Mines
MD-508 Marble and Other Polishable Materials Technology
MD-502 Hydrometallurgical Systems
MD-510 Fine Particles Processing
MD-514 Industrial Practice of Fine Coal Processing
MD-528 Advanced Drilling Technique
MD-600
MD-518 Particle Mechanics
MD-536 Drilling and Blasting Design
MD-538 Slide and Effects of Slide
MD-540 Optimization of Some Mining Problems
MD-542 Underground Mining Planning
MD-564 Recovery of Rear Earth and Precious Metals
MD-578 Quantitative Decision Making Techniques in Mining Engineering II
MD-580 Health Impacts of Minerals
MD-584 Labor Health and Mine Safety in Mining Plants
MD-592 Mining and Materials
MD-594 Industrial Kilns and Refractories
MD-596 Industrial Minerals Mining
MD-598 Evaluation of Mining Waste and Industrial Waste
MD-604 Applications of Geographical Information Systems in Mining
MD-606 Rock Classification in Engineering
MD-608 Industrial Hygiene
MD-588 Mineral Processing Data Analysis and Modeling

Recommended Optional Programme Components : None

Aim(s) of Course : Master´s level of expertise acquired with specific ideas for supporting and using scientific research methods, solve complex engineering problems and to follow innovations in mining engineering, analysis and implementation skills, flexibility to adapt to new technologies and interdisciplinary knowledge base to have. Science and investigate the events to a broader and deeper perspective and gain the ability to determine the necessary steps to achieve a new synthesis.

Course Contents : Subject of the thesis, carried out with the support of the advisor

Language of Instruction : Turkish

Work Place : Master room


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION GETS PREPARED WITH THE REQUEST OF SUPERVISER FACE TO FACE
2 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION GETS PREPARED WITH THE REQUEST OF SUPERVISER FACE TO FACE
3 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
4 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
5 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
6 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
7 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
8 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
9 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
10 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
11 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
12 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
13 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE
14 SCANNING THE LITERATURE RELATED FİELD, PRESENTATION PREPARE WITH THE REQUEST OF SUPERVISER FACE TO FACE


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 0 50
    Homeworks/Projects/Others 3 50
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  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. 5
4 Has skills to prepare and evaluate projects which are related to mining engineering study subjects. 5
5 Having skill explained as attentions of scientific and social values and transferring of these values to others 5
6 Does research on scientific and technical subjects including profession independentlly, makes a written or oral presentation about research results. 5
7 Has awareness of lifelong learning for professional development, follows new applications for study area and uses resources effectively. 5
8 Has independent study, team study and interdisciplinary study skills. 5
9 Uses modern engineering, computer modeling and simulation programs in order to solve engineering problems and develop mining engineering projects. 5
10 Has systematic thinking and problem solution skills about mining engineering subjects and uses these abilities in interdisciplinary studies. 5
11 Determines the problems independently, thinking of development of new solution methods and result evaluation skills in mining engineering area. 5
12 Understands the applications of mining engineering on universal and social effects, has responsibility for using natural resource effectively as ethical. 5
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 14 6 84
Assesment Related Works
    Homeworks, Projects, Others 3 4 12
    Mid-term Exams (Written, Oral, etc.) 0 0 0
    Final Exam 0 0 0
Total Workload: 152
Total Workload / 25 (h): 6.08
ECTS Credit: 6