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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. Faculty of Communication Sciences
  2. Department of New Media and Communication (30% English)
  3. Course Structure Diagram with Credits
  4. Artificial Intelligence
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
YPZ302 - Artificial Intelligence VI. SEMESTER 2 +2 4.5
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) , DOÇ. DR. ZÜLEYHA ÖZBAŞ ANBARLI, DOÇ. DR. KEMAL ELCİYAR
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Human-machine communication
Week - 2 History of artificial intelligence
Week - 3 Types and characteristics of artificial intelligence
Week - 4 Algorithms
Week - 5 Artificial intelligence and social relations
Week - 6 Artificial intelligence and professions, labor
Week - 7 Future scenarios for artificial intelligence
Week - 8 Robots and human-robot communication
Week - 9 Smart cities
Week - 10 Deepfake
Week - 11 Ethical dimensions of artificial intelligence
Week - 12 Artificial intelligence-supported data visualization
Week - 13 Artificial intelligence-supported visual production
Week - 14 Artificial intelligence-supported video production

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

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