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  Course Description
Course Name : Algorithm Producing Technics in Computer and Application to Mining Problems

Course Code : MD-556

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Assoc.Prof.Dr. AHMET DAĞ

Learning Outcomes of the Course : Knows the concepts related to algorithm.
Knows the algorithms used in mining.
Knows the steps required to solve a problem on the computer
Determines the stages of solution to any problem of mining.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : to enable the students to have the theoretical knowledge of algorithm development and to gain the ability to implement all the steps required to solve a problem on the computer

Course Contents : Algorithm producing technics which will be used in open and closed enterprises, describing and analysis of problem, determination of solutions to problem and selection of optimum alternative, forming flow chart for developed algorithm and application examples.

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Algorithm and related concepts Source reading Face to face lecture
2 Algorithm using in mining Source reading Face to face lecture
3 Algorithm using in mining Source reading Face to face lecture
4 describing of problem Source reading Face to face lecture
5 Analysis of problem Source reading Face to face lecture
6 Analysis of problem Source reading Face to face lecture
7 Stage of problem solution Source reading Face to face lecture
8 Stage of problem solution Source reading Face to face lecture
9 Midterm exam Written examination
10 Drawing flow chart of algorithm Source reading Face to face lecture
11 Drawing flow chart of algorithm Source reading Face to face lecture
12 Application examples Source reading Face to face lecture and practise
13 Application examples Source reading Face to face lecture and practise
14 Application examples Source reading Face to face lecture and practise
15 Application examples Source reading Face to face lecture and practise
16/17 Final Exam Written examination


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Ahmet Dag, Lecturer Notes (unpublished)
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 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. 4
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. 3
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. 0
7 Has awareness of lifelong learning for professional development, follows new applications for study area and uses resources effectively. 4
8 Has independent study, team study and interdisciplinary study skills. 0
9 Uses modern engineering, computer modeling and simulation programs in order to solve engineering problems and develop mining engineering projects. 4
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. 4
12 Understands the applications of mining engineering on universal and social effects, has responsibility for using natural resource effectively as ethical. 0
* 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 5 70
Assesment Related Works
    Homeworks, Projects, Others 3 5 15
    Mid-term Exams (Written, Oral, etc.) 1 5 5
    Final Exam 1 5 5
Total Workload: 151
Total Workload / 25 (h): 6.04
ECTS Credit: 6