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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. Eskişehir Vocational School
  2. Department of Hotel,Restaurant and Catering
  3. Tourism and Hotel Management
  4. Course Structure Diagram with Credits
  5. Smart Tourism Systems
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 26/10/2026

Code - Course Title Course Type Laboratory + Practice ECTS
TRZ812 - Smart Tourism Systems III. SEMESTER 2 +0 3.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) ÖĞR. GÖR. NAGEHAN SÖNMEZ GÖK
Mode of Delivery Face to face
Place of Delivery On Campus
Used Educational Platforms Face-to-face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended General Tourism, Sustainable Tourism Management, Travel Agency Management, Food and Beverage Services Management, Accommodation Establishments Management
Recommended Resources A Model Proposal for Smart Tourism Applications and Accommodation Enterprises, Res. Asst. Dr. Onur Öztürk; A Model Proposal for Creating a Smart Tourism Destination SmartURFA, Dr. Ahmet Erdem, Prof. Dr. Kamil Unur; The Magical Dance of the Digital Age: The Evolution of Artificial Intelligence in Tourism and Marketing in the Metaverse Era, Serkan Kündem; Artificial Intelligence in Hotel Enterprises, V. Rüya Ehtiyar; Smart Tourism, Ahmet Erdem.
Work Placement There is no application.
Aims of the Course The objective is to enable students of the Tourism program to explain the necessity of smart technologies as solutions for sustainable tourism and to take an active role in their implementation within their professional careers after graduation.

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 LO-1 Smart Tourism Components: Smart experience Lecture Question & Answer Research and Inquiry
Week - 2 LO-1 Smart Tourism Components: Smart business ecosystem Lecture Question & Answer Research and Inquiry
Week - 3 LO-1 Smart Tourism Components: Smart destination Lecture Question & Answer Research and Inquiry
Week - 4 LO-2 Smart Tourism Systems Used in Hospitality Businesses Lecture Question & Answer Brain Storming Research and Inquiry
Week - 5 LO-3 Smart Tourism Systems used in Travel Agencies Lecture Question & Answer Brain Storming Research and Inquiry
Week - 6 LO-4 Smart Tourism Systems Used in Food and Beverage Businesses Lecture Question & Answer Brain Storming Research and Inquiry
Week - 7 LO-4 Smart Tourism Systems Used in Entertainment Businesses Lecture Question & Answer Brain Storming Research and Inquiry
Week - 8 LO-4 Smart Tourism Systems Used in Restaurants Lecture Question & Answer Brain Storming Research and Inquiry
Week - 9 LO-1 LO-2 LO-3 LO-4 Smart Tourism Applications in Turkey Lecture Question & Answer Problem Solving Brain Storming Research and Inquiry
Week - 10 LO-1 Factors Barring the Application of Smart Technologies in the Tourism Sector Lecture Question & Answer Discussion Case Study Problem Solving Brain Storming Research and Inquiry
Week - 11 LO-1 LO-7 The necessity of smart systems for sustainable tourism Lecture Question & Answer Discussion Case Study Problem Solving Brain Storming Research and Inquiry
Week - 12 LO-1 LO-2 LO-3 LO-4 LO-7 Organizational and economic Oriented Benefits of Smart Systems. Lecture Observation Question & Answer Discussion Case Study Problem Solving Brain Storming Research and Inquiry
Week - 13 LO-1 LO-2 LO-3 LO-4 LO-7 Customer and Service Output Oriented Benefits of Smart Systems Lecture Observation Question & Answer Discussion Case Study Problem Solving Brain Storming Research and Inquiry
Week - 14 LO-1 LO-7 Smart Tourism Applications in the World Lecture Question & Answer Research and Inquiry

  • Clean Water and Sanitation Accessible and Clean Energy Sustainable Cities and Communities Responsible Production and Consumption

  • Sustainability and Green Energy Urban Planning, Transport and Smart Buildings Artificial Intelligence Software, Cloud and Blockchain

  • Open-Ended Test Short-Answer Test Fill-in-the-Blank Test

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

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