Information Package / Course Catalogue
Digital Transformation and Artificial Intelligence in Tourism
Course Code: TUR644
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is to examine the impacts of digital transformation processes and artificial intelligence technologies on the tourism sector and to enable students to evaluate current digital applications used in tourism businesses from an academic perspective.

Course Content

The course covers topics such as digital transformation, artificial intelligence applications, smart tourism systems, big data analytics, digital tourist behavior, online platforms, automation technologies, and data security in tourism.

Name of Lecturer(s)
Learning Outcomes
1.Evaluates the concepts of digital transformation and artificial intelligence from a tourism perspective.
2.Analyzes current digital technologies used in the tourism industry
3.Interprets smart tourism applications and digital tourist behavior
4.Explains the use of big data, digital marketing, and AI-powered systems in tourism enterprises.
5.Discusses ethical, security, and sustainability issues related to digitalization in tourism.
Recommended or Required Reading
1.Buhalis, D., Taheri, B., & Rahimi, R. (2022). Smart Cities and Tourism.
2.Rahimi, R., Stylos, N., Navarro-López, E. M., & MBE, P. P. (Eds.). (2025). Artificial Intelligence in Tourism, Hospitality and Events: Revolutionising Experiences. Goodfellow Publishers Ltd.
3.Cengiz, H. A., Zerman, S., Acar, A., & Ali, F. (Eds.). (2026). Digitalization in Tourism. Apple Academic Press / CRC Press – Taylor & Francis Group.
Weekly Detailed Course Contents
Week 1 - Theoretical
Digital transformation concept and its development
Week 2 - Theoretical
Digitalization in the tourism sector
Week 3 - Theoretical
Artificial intelligence and basic concepts
Week 4 - Theoretical
Artificial intelligence applications in tourism enterprises
Week 5 - Theoretical
Smart tourism and smart destinations
Week 6 - Theoretical
AI-powered personalization and recommendation systems
Week 7 - Theoretical
Big data and data analytics
Week 8 - Theoretical
Digital tourist behavior
Week 9 - Theoretical
Chatbots, virtual assistants, and customer service
Week 10 - Theoretical
Digital marketing
Week 11 - Theoretical
Robotic service systems
Week 12 - Theoretical
Metaverse, VR and AR applications
Week 13 - Theoretical
Online platforms and digital economy
Week 14 - Theoretical
Cybersecurity and ethical issues
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Term Project1151530
Midterm Examination111112
Final Examination111213
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
OÇ-1
4
3
2
3
2
1
2
2
2
2
1
3
3
2
OÇ-2
3
5
3
4
3
2
3
3
2
2
1
4
4
3
OÇ-3
2
3
4
2
2
1
2
3
4
2
1
2
3
2
OÇ-4
3
4
2
5
4
2
4
3
2
3
1
4
4
3
OÇ-5
2
3
2
3
3
2
2
2
3
2
1
2
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026