GMÜ622 - RESEARCH STUDIES

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
RESEARCH STUDIES GMÜ622 Any Semester/Year 3 0 3 7
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Other: Homeworks  
Instructor (s)Department academic staff 
Course objectiveTo teach the basic information about reseach mehods. To give the use of reseach methods in enginering application, the necessary technical knowledge and skills to prepare a research proposal, data collection and interpretation will be given. To teach the utilization of the scientific results and present techniques.  
Learning outcomes
  1. Students will learn to do scientific research.
  2. Make a decision on research topic, research, planning and preparation stages of the project will be informed.
  3. Prepare an effective presentation of the projects will be trained on.
Course ContentEstablishment of an individual investigation which includes identification and solution of problems in an agreed timescale. Project planning. Selection and application of appropriate skills to achieve solutions. Interpretation and discussion of data to provide an experience of scientific research methods. 
ReferencesD.Brinberg and J.E.McGrath.Validity and The Research Process. Newbury Park; Soge, 1985.
R.L.Ackoff. Scientific Method: optimizing applied research decisions. New York: Wiley, 1965.
A.D.Ritchie. Scientific Method. London: Routledge, 2001.
Fred Leavitt. Evaluating Scientific Research: seperating fact from fiction. N.J.: Prentice Hall, 2001.
R.Sommer, B.Sommer. A Practical Guide to Behavioral Research; tools and techniques. Oxford University Press, 5th Edition, 2002. *Additional materials during the course. Research Techniques Lecture Notes
 

Course outline weekly

WeeksTopics
Week 1Basic Concepts principles and approaches.
Week 2The main objectives of the research study. Study their properties.
Week 3Research Stages of Research Area.
Week 4Determining Objectives of the study
Week 5Determination of Research Method.
Week 6Determination and Implementation of Data Collection Tools.
Week 7Proposal Development. Report Writing.
Week 8Other Scientific Activities.
Week 9MIDTERM EXAM
Week 10Scientific papers.
Week 11Patents.
Week 12Thesis.
Week 13Scientific project work.
Week 14Project presentation.
Week 15Preparation for final exam
Week 16FINAL EXAM

Assesment methods

Course activitiesNumberPercentage
Attendance100
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments330
Presentation00
Project00
Seminar00
Midterms120
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)7214
Presentation / Seminar Preparation000
Project000
Homework assignment32472
Midterms (Study duration)13535
Final Exam (Study duration) 15050
Total Workload26114213

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. The graduates have acquired extensive and profound knowledge from the scientific work being carried out in their field. They are able to evaluate data critically and to draw conclusions from it.    X
2. The graduates have understanding of applicable techniques and methods and their limits.    X 
3. They are aware of new developments in their field and familiarise themselves with new tasks systematically and without taking too long.    X
4. The graduates are able to formulate engineering problems and find solutions which require very considerable competence as far as methods are concerned.    X
5. The graduates are able to develop new and/or original idea and methods and apply innovative methods in solving the products or processes design problems.   X 
6. The graduates have ability to use their powers of judgment as engineers in order to work with complex and possibly incomplete information, to recognise discrepancies and to deal with them.  X  
7. The graduates are able to understand the impact of engineering solutions in an environmental and societal context.   X 
8. The graduates have ability to design and implement the analytical modelling and experimental research, and deal with complexity and evaluate data critically.X    
9. The graduates have ability to understand professional, social and ethical responsibility and to act responsibly in the collection, integration, analysis, interpretation and communication of data.  X  
10. The graduates have made a contribution through the written or oral presentation of original research results in the national and international scholarly community.    X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest