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  Course Description
Course Name : Quantitative Decision Making Techniques in Mining Engineering I

Course Code : MD-589

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Assoc.Prof.Dr. SUPHİ URAL

Learning Outcomes of the Course : Has the ability for generating optimal solutions

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : MD-500 Coal Technology

Recommended Optional Programme Components : None

Aim(s) of Course : To improve the ability to use Optimization techniques

Course Contents : Deterministic models, duality and sensitivity, Economic interpretation of duality, primal-dual calculations of various transport models, transportation algorithm, the assignment model, transport model, goal programming, amaçlıya against a single multi-purpose programming, goal programming formulation and algorithms, deterministic dynamic programming, dynamic revised program structure, forward and backward iteration techniques, dynamic programming, applications, inventory models, static models of the economic order, the dynamic economic order.

Language of Instruction : Turkish

Work Place : CLASSROOMS AND LABORATORIES OF THE DEPARTMENT FACULTY OF ENGINEERING AND ARCHITECTURE


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 BASIC DEFINITIONS, PURPOSE AND SCOPE GRADE COURSE READINGS COURSE PRESENTATION
2 HISTORY AND STATISTICAL INFORMATION GRADE COURSE READINGS COURSE PRESENTATION
3 DETERMINISTIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
4 DETERMINISTIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
5 DETERMINISTIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
6 DETERMINISTIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
7 DETERMINISTIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
8 DETERMINISTIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
9 MIDTERM EXAM
10 DYNAMIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
11 DYNAMIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
12 DYNAMIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
13 DYNAMIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
14 DYNAMIC MODELS GRADE COURSE READINGS COURSE PRESENTATION
15 FINAL EXAM
16/17 FINAL EXAM


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


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 2 40
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. 2
4 Has skills to prepare and evaluate projects which are related to mining engineering study subjects. 2
5 Having skill explained as attentions of scientific and social values and transferring of these values to others 3
6 Does research on scientific and technical subjects including profession independentlly, makes a written or oral presentation about research results. 3
7 Has awareness of lifelong learning for professional development, follows new applications for study area and uses resources effectively. 1
8 Has independent study, team study and interdisciplinary study skills. 2
9 Uses modern engineering, computer modeling and simulation programs in order to solve engineering problems and develop mining engineering projects. 1
10 Has systematic thinking and problem solution skills about mining engineering subjects and uses these abilities in interdisciplinary studies. 4
11 Determines the problems independently, thinking of development of new solution methods and result evaluation skills in mining engineering area. 1
12 Understands the applications of mining engineering on universal and social effects, has responsibility for using natural resource effectively as ethical. 2
* 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 3 42
    Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
    Homeworks, Projects, Others 2 14 28
    Mid-term Exams (Written, Oral, etc.) 1 5 5
    Final Exam 1 5 5
Total Workload: 150
Total Workload / 25 (h): 6
ECTS Credit: 6