Information Package
baskent.edu.tr

Program of Tourism and Hotel Management

TOİ102

HOSPITALITY AUTOMATION SYSTEMS

Course Code
TOİ102
Semester
Second Term (Spring)
Theory+Practice
1 + 2
ECTS
3
Course TypeCompulsory Course
Course LevelAssociate Degree
Year of Study1
SemesterSecond Term (Spring)
ECTS3
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Defines the basic functions, modules, and information technology infrastructure of automation systems (Front Office, Housekeeping, etc.) used in accommodation enterprises.
  2. Practically executes reservation, check-in, during-stay operations, and check-out processes using hotel automation software (PMS).
  3. Complies with national/international data protection laws (GDPR) and information security ethical rules during the processing and storage of guest data.
  4. Reports, analyzes, and interprets data obtained from automation systems to support the hotel's revenue management decisions.
  5. Evaluates the integration of current technological trends into service delivery, such as cloud-based systems, mobile applications, artificial intelligence, and the Internet of Things (IoT) in the accommodation sector.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course examines the management, planning, and organizational processes of lodging establishments under modern business principles. The integrated operations and standard service procedures of core departments, such as front office, housekeeping, and food & beverage, are evaluated. Within the scope of the course learning outcomes, students develop the skills to establish a proactive service approach by understanding international standards, implement standard procedures to enhance guest experience, and integrate effectively into teamwork within multicultural environments.
Course Contents
WEEK TOPICS
1st Week Introduction to Information Technologies and Systems in Hospitality
2nd Week Property Management Systems (PMS) Architecture and Basic Modules
3rd Week Reservation Module I: Individual Reservation and Guest Profiling
4th Week Reservation Module II: Group Reservations and Allotment Management
5th Week Front Office Operations I: Check-in, Guest Reception, and Room Assignment
6th Week Front Office Operations II: Stay Operations, Folio Management, and Extra Charges
7th Week Front Office Operations III: Cashiering, Check-out, and Billing Processes
8th Week Midterm Exam
9th Week Housekeeping Module and Front Office Integration
10th Week Night Audit and End of Day Processes
11th Week Sales, Marketing, and Revenue Management Functions in PMS
12th Week Reporting and Data Analysis in Hotel Automation
13th Week Guest Data Security (KVKK/GDPR) and Digital Ethics
14th Week Next-Gen Technologies in Hospitality: Cloud Systems, Mobile Kiosk, and IoT
Recommended or Required ReadingBooks:
1. Yılmaz, Y., & Çelik, P. (2022). Konaklama İşletmelerinde Bilgi Teknolojileri ve Otomasyon. Detay Yayıncılık.
2. Benckendorff, P. J., Sheldon, P. J., & Fesenmaier, D. R. (2024). Tourism information technology (3rd ed.). CABI.
3. Nyheim, P. (2023). Technology strategies for the hospitality industry (4th ed.). Pearson.
4. Bardi, J. A. (2018). Hotel front office management (5th ed.). Wiley.
5. Ivanov, S., & Webster, C. (Eds.). (2021). Robotics, artificial intelligence, and technologies in hospitality. Emerald Publishing.
6. Nyheim, P. D., & Connolly, D. J. (2020). Technology strategies for the hospitality industry (3rd ed.). Pearson.

Articles:
Akbaba, A., & Çakır, O. (2023). Otel işletmelerinde yapay zeka kullanımı ve çalışan verimliliğine etkisi üzerine bir inceleme. Turizm Akademik Dergisi, 10(1), 45-62. https://doi.org/10.xxxx/tad.2023.01
Law, R., Leung, R., & Chan, I. C. C. (2022). Progression of information technology in hospitality and tourism: A state-of-the-art review. International Journal of Contemporary Hospitality Management, 34(8), 3051-3078. https://doi.org/10.1108/IJCHM-10-2021-1288
Buhalis, D., & Moldavska, I. (2022). Voice assistants in hospitality: Using artificial intelligence for customer service. Journal of Hospitality and Tourism Technology, 13(3), 386-403.

Online Resources:
Kişisel Verileri Koruma Kurumu (KVKK). (2023). Konaklama sektöründe kişisel verilerin korunması rehberi. T.C. Adalet Bakanlığı Yayınları. https://www.kvkk.gov.tr/
Türkiye Otelciler Birliği (TÜROB). (2024). Konaklama Sektöründe Dijitalleşme Raporu. https://www.turob.org
Oracle Hospitality. (2024). The future of hospitality technology: 2025 and beyond. https://www.oracle.com/hospitality
Hospitality Financial and Technology Professionals (HFTP). (2024). PineappleSearch: Hospitality specific search engine. https://www.pineapplesearch.com
Planned Learning Activities and Teaching Methods
  • Practice
  • Lecture
  • Presentation
  • Discussion
  • Case Study
  • Questions/Answers
  • Report Preparation
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 1 20
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work
Preparation for Final exam 1 10 10
Course hours 14 3 42
Preparation for Midterm exam 1 8 8
Laboratory (including preparation)
Final exam 1 1 1
Homework 14 2 28
Total Work Load90
Total Work Load / 30 (h)3
ECTS Credit of the Course3
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5
K1
K2
K3 X X X
K4
K5 X
K6
K7 X
K8
K9
K10 X
K11 X X
K12 X X