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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 Humanities
  2. Department of Turkish Language and Literature
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  4. Folklore and Artificial Intelligence
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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Last Updated: 22/10/2025

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
TDE251 - Folklore and Artificial Intelligence III. SEMESTER 2 +0 4.5
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) PROF. DR. ZÜLFÜKAR BAYRAKTAR
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Introduction to Turkish Folkloristic; Introduction to Turkish Folk Literature
Recommended Resources
Work Placement Not Applicable
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction of the course.
Week - 2 What is folklore? The emergence of folklore in the world and in Türkiye and the general course of studies.
Week - 3 The relationship between folklore and technology: Media
Week - 4 Research areas of folklore: Oral, written, electronic and digital cultural contexts.
Week - 5 Digitalizing folklore and artificial intelligence: What is artificial intelligence?
Week - 6 Artificial intelligence and Turkish perception
Week - 7 Artificial intelligence, culture, popular culture and Turkish culture
Week - 8 Artificial intelligence and SOKÜM
Week - 9 Artificial intelligence and applied folklore.
Week - 10 Artificial intelligence and narrative traditions: Tales, tale’s mother, tale’s grandfather.
Week - 11 Artificial intelligence and narrative traditions: Jokes, Nasreddin Hoca, Bektaşi, İncili Çavuş.
Week - 12 Artificial intelligence and narrative traditions: Epics, Oğuz Kağan, Dede Korkut, Köroğlu
Week - 13 Artificial intelligence and narrative traditions: Folk stories, Ferhat ile Şirin, Kerem ile Aslı, Leyla ile Mecnun.
Week - 14 General evaluation.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Final Exam 1 70
Toplam (%) 100

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