Undergraduate
Faculty of Arts and Design
New Media
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NETNOGRAPHY

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
YM8003 8 NETNOGRAPHY 2/0/0 CC TURKISH 4
Course Goals
 The objective of the course is to teach netnography in conceptual and theoretical dimensions. Netnography research methods, data collection and analysis methods and ethical principles of netnographic research, which are necessary for constructing and implementing a netnographic research, are the main topics of the course.


Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) -
Instructor(s) Assist.Prof Saadet Uğurlu
Course Assistant(s) -
Schedule -
Office Hour(s) Ataköy Campus, Faculty of Art and Design, 1-D-07
Teaching Methods and Techniques -Course reader, case study analysis

Principle Sources -Netnography: redefined, Robert Kozinets, Sage Publications, 2015


Other Sources -Dijital Kabilelerin İzinde: Sosyal Medyada Netnografik Araştırmalar, Kaan Varnalı, Mediacat Publisher, 2013
Course Schedules
Week Contents Learning Methods
1. Week Introduction to the course Course reader, case study analysis
2. Week Online cultures and communities Course reader, case study analysis
3. Week Understanding online culture Course reader, case study analysis
4. Week Networked sociality Course reader, case study analysis
5. Week Researching networked sociality Course reader, case study analysis
6. Week The method of netnography Course reader, case study analysis
7. Week Midterm Midterm
8. Week Planning and preparation Course reader, case study analysis
9. Week Conducting ethical netnography Course reader, case study analysis
10. Week Data collection Course reader, case study analysis
11. Week Data analysis and interpretation Course reader, case study analysis
12. Week Representation and evaluation Course reader, case study analysis
13. Week Student presentations Course reader, case study analysis
14. Week Student presentations Course reader, case study analysis
15. Week General Evaluation General Evaluation
16. Week General Evaluation General Evaluation
17. Week General Evaluation General Evaluation
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Final Exam 1 60


Program Outcomes
Learning Outcomes
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix