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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Journalism
  3. Master of Arts (MA) in Journalism
  4. Course Structure Diagram with Credits
  5. Content Analysis
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
BYN546 - Content Analysis II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. ERKAN YÜKSEL
Mode of Delivery Face to face.
Place of Delivery
Used Educational Platforms
Prerequisites A course on research methods on social sciences should have been taken.
Courses Recomended Critical Discourse Analysis
Recommended Resources GÖKÇE, Orhan (2019). Klasik ve Nitel İçerik Çözümlemesi. Konya: Çizgi. NEUENDORF, Kimberly A. (2002). The Content Analysis Guidebook. Thousand Oaks: Sage.ERDOĞAN, İrfan (2003). Pozitivist Metodoloji Bilimsel Araştırma Tasarımı İstatistiksel Yöntemler Analiz ve Yorum. Ankara: Erk.
Work Placement Depending on the content of the course an article will be prepared on a selected topic.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to course and the scientific concepts
Week - 2 Science, Scientific Research, Scientific Research Principles, Scientific Method and Other Concepts, Quantitative studies, Introduction and general information about the Method section
Week - 3 Problem, objectives,significance, hypothesis and limitations of a scientific research.
Week - 4 Scientific research methods, population and sample, findings
Week - 5 The history and development of content analysis, the theoretical foundations
Week - 6 Comparison of content analysis and discourse analysis
Week - 7 MID-TERM EXAM
Week - 8 Sample content analysis studies: Film, Photography and Cartoon Analysis
Week - 9 Sample content analysis studies: News Analysis
Week - 10 Content analysis applications-I: Problem, objectives, significance, assumptions, limitations
Week - 11 Content analysis applications-II: Population and sampling
Week - 12 Content analysis applications-III: Methods, Findings
Week - 13 Content analysis applications-IV: Methods, Findings
Week - 14 Presentations

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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