GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MSC THESIS/5001034
Course Title: MSC THESIS
Credits 0 ECTS 15
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Departmen academic staff
 -- WEB SITE(S) OF LECTURER(S)
  tf-otomotiv.gazi.edu.tr
 -- EMAIL(S) OF LECTURER(S)
  otomotiv@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
The student performs a literature review on subject of his/her thesis.
The student classifies, analysis and comments his/her research data.
The student prepares a scientific report on his/her study.
The student presents and defends his/her study.





 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  MSc thesis studies
2. Week  MSc thesis studies
3. Week  MSc thesis studies
4. Week  MSc thesis studies
5. Week  MSc thesis studies
6. Week  MSc thesis studies
7. Week  MSc thesis studies
8. Week  MSc thesis studies
9. Week  MSc thesis studies
10. Week  MSc thesis studies
11. Week  MSc thesis studies
12. Week  MSc thesis studies
13. Week  MSc thesis studies
14. Week  MSc thesis studies
15. Week  MSc thesis studies
16. Week  MSc thesis studies
 -- RECOMMENDED OR REQUIRED READING
  Related scientific publications.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
0
 Contribution of Final Examination to Overall Grade  
100
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
0
15
0
 Practising Hours of Course Per Week
1
15
15
 Reading
5
15
75
 Searching in Internet and Library
5
15
75
 Designing and Applying Materials
8
15
120
 Preparing Reports
3
15
45
 Preparing Presentation
3
15
45
 Presentation
2
1
2
 Mid-Term and Studying for Mid-Term
0
0
0
 Final and Studying for Final
0
0
0
 Other
0
 TOTAL WORKLOAD: 
377
 TOTAL WORKLOAD / 25: 
15.08
 ECTS: 
15
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Based on the qualifications of the undergraduate level, reaching and expanding the knowledge by conducting scientific research in the field of Automotive Engineering, evaluating, interpreting and applying the informationX
2To have comprehensive knowledge about current techniques and methods applied in Automotive Engineering and their limitationsX
3Completing and applying knowledge by scientific methods using limited or missing data; to use information from different disciplines togetherX
4Ability to be aware of new and developing applications of the profession, to learn them when necessary and to use their technologies effectivelyX
5An ability to design and solve engineering problems in the field of Automotive EngineeringX
6Developing new and / or original ideas and methods related to the field of Automotive Engineering; Ability to develop innovative solutions in system, component or process designsX
7Designing and applying analytical, modeling and experimental based research in the field of Automotive Engineering; ability to analyze and interpret complex situations encountered in this processX
8Ability to control and lead by taking into consideration social, scientific and ethical values in the stage of data collection in order to solve the problems related to the field of Automotive EngineeringX
9Ability to transfer the process and results of his / her studies in written and verbal form in a systematic and clear manner in national and international environments within or outside the fieldX
10Compliance with social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activitiesX
11Awareness of entrepreneurship and innovation and knowledge of sustainable development
12To have information about the effects of engineering applications on health, environment and safety in global and social dimensions
13Awareness of the legal consequences of engineering solutions