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  Course Description
Course Name : Seminar

Course Code : YLMDS-101

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

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

Learning Outcomes of the Course : Accesses to new information and evaluate in a systematic manner using appropriate scientific methods
Develops graduate-level knowledge acquired and applies scientific methods to develop and deepen
Using modern design methods and tools designs a process or a system
Brings unique solutions to complex problems by critical analysis of new ideas
Uses modern design methods and tools to design a process or a system

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : TO SCAN AND EVALUATE DATA RELATED TO THE SUBJECT

Course Contents : investigate the scientific events to a broader and deeper perspective and gain the ability to determine the necessary steps to achieve a new synthesis.

Language of Instruction : Turkish

Work Place : Seminar room


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
2 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
3 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
4 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
5 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
6 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
7 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
8 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
9 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
10 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
11 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
12 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
13 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT FACE TO FACE
14 Scan data on the subject of the seminar, prepare to presentation SCANS AND EVALUATES DATA RELATING TO THE SUBJECT 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.) 1 20
    Homeworks/Projects/Others 1 80
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. 4
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 1 14
    Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
    Homeworks, Projects, Others 1 10 10
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 10 10
Total Workload: 156
Total Workload / 25 (h): 6.24
ECTS Credit: 6