ANTALYA BİLİM UNIVERSITY
Course Information Package

TRM 1019 - Innovative Tourism Technologies

Basic Information

Course Code:
TRM 1019
Course Name:
Innovative Tourism Technologies
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
5.00
Instructor:
Dr. Öğr. Üyesi ASLIHAN DURSUN

Course Objectives

To raise awareness and develop adoption capabilities regarding technology-based systems used in the tourism and hospitality industry.

Course Content

This course provides an overview of the digital solutions and innovative technologies widely used in the tourism and hospitality industry. Students will explore the application areas of emerging technologies such as artificial intelligence, big data, mobile applications, smart destination systems, and virtual/augmented reality. The course also covers operational systems commonly used in hotel and restaurant businesses, including Property Management Systems (PMS), Point of Sale (POS) systems, and kitchen display systems.In the practical component of the course, students will use office software frequently employed in hotel operations to create basic data files, charts, presentations, and reports.

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Cristian Morosan (2022), Innovative Hospitality Technology,https://uhlibraries.pressbooks.pub/innovative/front-matter/introduction/

Learning Outcomes

Code Description
LO1 Identifies innovative technologies used in the tourism and hospitality industry.
LO2 Explains the impact of technologies such as artificial intelligence, big data, and augmented reality on the sector.
LO3 Describes the functions of systems such as PMS and POS used in hotel and restaurant operations
LO4 Creates basic data files, charts, and presentations using office software.
LO5 Analyzes technology adoption models in the tourism sector and develops strategic solution proposals for businesses based on these models.

Weekly Course Content

Week Content
1 Introduction: Sharing course content
2 Digitalization and Technology Trends in Tourism (LMS Practical Session 1: Online Tools and Word_ Assignment I)
3 Operational Systems in Hospitality: PMS, POS, KDS, etc. (LMS Practical Session 1: Online Tools and Word_ Assignment I)
4 Technology Adoption Models in Tourism (TAM, DOI, etc.)(LMS Practical Session 1: Online Tools and Word_ Assignment I)
5 Artificial Intelligence and Smart Destinations (LMS Practical Session 1: Online Tools and Word_ Assignment I)
6 Artificial Intelligence and Smart Destinations (LMS Practical Session 1: Submit your Assignment I)
7 General review and getting ready for midterm
8 Midterm
9 LMS Practical Session 2: Introduction to Excel_ Submit your Assignment II
10 LMS Practical Session 2: Submit your Assignment II, LMS Practical Session 3: Creating Data Files and Charts with Office Software_ Assignment III
11 Big Data Analysis in Tourism (LMS Practical Session 3: Creating Data Files and Charts with Office Software_ Assignment III)
12 Big Data Analysis in Tourism (LMS Practical Session 3: Creating Data Files and Charts with Office Software_ Assignment III)
13 Augmented Reality (AR) and Virtual Reality (VR) Applications (LMS Practical Session 3: Submit your Assignment III)
14 Mobile Applications and the Tourism Experience (LMS Practical Session 4: Preparing Presentations and Reports with Office Tools_ Assignment IV )
15 Getting ready for the final exam (LMS Practical Session 4: Submit your Assignment IV)

Workload Calculation

Activity Count Duration (Hours) Total
Attendance 14 2.00 28.00
Practice 14 1.00 14.00
Pre-Class Individual Study 14 1.50 21.00
Post-Prectice Individual Study 14 1.50 21.00
Midterm Exam/Preparation 1 21.00 21.00
Final Exam/Preparation 1 21.00 21.00
Homework 4 5.00 20.00
Total Workload (Hours) 146
ECTS Credit (Workload / 25) 5

PO - LO Matrix

PO \ LO
LO1
LO2
LO3
LO4
LO5
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
1
Low Contribution
2
Medium Contribution
3
High Contribution

Teaching and Learning Methods

# Method Name Description Tools
1 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2 Controversial Course Listening and comprehension, critical thinking Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3 Homework Solving and analyzing homework questions using a computer and Excel. Computer
4 Laboratory Carry out experimental studies Special equipment

Academic Integrity and Artificial Intelligence

Violations of academic integrity include, but are not limited to, cheating, plagiarism, submitting another person’s work as one’s own, and using the work of an instructor or any other person without permission. Any violation of academic integrity is considered a serious academic offense and may result in disciplinary action. Artificial intelligence tools may be used only for grammar correction, language polishing, writing support, and general academic assistance. However, directly copying and pasting AI-generated content and submitting it as an assignment, project, report, or any other academic work will be considered a violation of academic integrity and plagiarism. Students are responsible for ensuring that all submitted work reflects their own original effort.