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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 Tourism
  2. Department of Tourism Management
  3. Course Structure Diagram with Credits
  4. Artificial Intelligence in Tourism
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 02/03/2026

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
TRZ436 - Artificial Intelligence in Tourism VIII. SEMESTER 2 +1 4.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) DOÇ. DR. MUNE MOĞOL SEVER
Mode of Delivery face to face
Place of Delivery
Used Educational Platforms
Prerequisites BİL 150 TBT , MAT164, İST245
Courses Recomended
Recommended Resources Campbell, Josephine (2025). Generative artificial intelligence. Salem Press Encyclopedia of Science
Work Placement developing scenarios in software
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to AI
Week - 2 expert systems and AI
Week - 3 Machine Learning
Week - 4 Deep Learning& Introduction to n8n
Week - 5 Artificial Neural Networks
Week - 6 Large Language Models
Week - 7 midterm
Week - 8 Generative AI
Week - 9 AI models
Week - 10 chatbots and tourism use cases
Week - 11 prompt engineering and applications
Week - 12 Introduction to coding
Week - 13 Applications with n8n
Week - 14 Applications-presentations of final projects

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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