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Year/Semester of Study | 1 / Fall Semester | ||||
Level of Course | 2nd Cycle Degree Programme | ||||
Type of Course | Optional | ||||
Department | TOURISM MANAGEMENT | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | İBRAHİM AKIN ÖZEN (akin@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | |||||
Language of Instruction | Turkish | ||||
Work Placement(s) | None | ||||
Objectives of the Course | |||||
The aim of this course is to examine technologies used in Tourism Businesses. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | Gains knowledge of the technologies used in the tourism sector. |
PO-1 Have a deeper understanding of tourism and its related fields. PO-3 Develop creative and practical solutions for contemporary issues in the tourism industry. PO-7 Develop and apply competitive strategies relevant to tourism management. |
Examination Presentation |
LO-2 | Gains knowledge of the technologies related to Hospitality Management. |
PO-1 Have a deeper understanding of tourism and its related fields. PO-3 Develop creative and practical solutions for contemporary issues in the tourism industry. PO-7 Develop and apply competitive strategies relevant to tourism management. |
Examination Presentation |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Industry 4.0 and its effects on the tourism sector | |
2 | Smart Destinations and hotels | |
3 | Industry 4.0 basic concepts | |
4 | Big data usage in the tourism industry | |
5 | Tourism industry and internet of things. | |
6 | Hospitality businesses big data | |
7 | Travel businesses big data | |
8 | mid-term exam | |
9 | Hospitality businesses internet of things | |
10 | Travel businesses internet of things | |
11 | Big data analysis in hospitality businesses | |
12 | Big data analytics in travel businesses | |
13 | Hospitality data mining | |
14 | Hospitality text mining | |
15 | Occupancy estimation methods in accommodation businesses | |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Rapidminer ile Uygulamalı Veri Madenciliği Pusula yayıncılık | |
Required Course instruments and materials | ||
books, articles, internet resources, lecture notes |
Assessment Methods | |||
Type of Assessment | Week | Hours | Weight(%) |
mid-term exam | 8 | 1 | 40 |
Other assessment methods | |||
1.Oral Examination | |||
2.Quiz | |||
3.Laboratory exam | |||
4.Presentation | |||
5.Report | |||
6.Workshop | |||
7.Performance Project | |||
8.Term Paper | |||
9.Project | |||
final exam | 16 | 1 | 60 |
Student Work Load | |||
Type of Work | Weekly Hours | Number of Weeks | Work Load |
Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
Outside Class | |||
a) Reading | 3 | 14 | 42 |
b) Search in internet/Library | 3 | 14 | 42 |
c) Performance Project | 0 | ||
d) Prepare a workshop/Presentation/Report | 2 | 14 | 28 |
e) Term paper/Project | 0 | ||
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 0 | ||
Own study for mid-term exam | 3 | 4 | 12 |
mid-term exam | 2 | 1 | 2 |
Own study for final exam | 3 | 4 | 12 |
final exam | 2 | 1 | 2 |
0 | |||
0 | |||
Total work load; | 182 |