COURSE UNIT TITLE

: INTELLIGENT TECHNOLOGIES IN SERVICE INDUSTRY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MSH 0138 INTELLIGENT TECHNOLOGIES IN SERVICE INDUSTRY ELECTIVE 3 0 0 5

Offered By

Efes Vocational School

Level of Course Unit

Short Cycle Programmes (Associate's Degree)

Course Coordinator

DOCTOR EDA AVCI

Offered to

Cultural Heritage and Tourism
Tourism and Hotel Management
Civil Aviation Transportation Management
Food Technology

Course Objective

Introducing Intelligent Technology applications and understanding the effects of intelligent technologies on the development and future of service industry.

Learning Outcomes of the Course Unit

1   To have knowledge about historical development of information systems
2   Understand the role and importance of information systems in businesses
3   To be able to produce the best IT solutions for requirements and purposes
4   To learn the role of information systems in business processes
5   To be able to comment on current information systems topics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Industrial Revolutions and History of Technology
2 Digitalization
3 Smart Destinations
4 Automation and Artificial Intelligence
5 Internet of Things
6 Reality Technologies
7 Midterm Exam
8 Big Data
9 Data and Information Security
10 Gamification
11 Block Chain
12 Digital Marketing and Social Media Management
13 Usage of Information Technologies in the Tourism Industry
14 Usage of Information Technologies in the Tourism Industry
15 Final Exam

Recomended or Required Reading

Information Systems Today: Managing the Digital World (4th Edition); Joseph Valacich, Christoph Schneider; 2009
Management Information Systems (11th Edition); Ken Laudon, Jane Laudon; 2009
ISO/IEC, 2008. ISO/IEC 27005:2008. Information Security Risk Management System. International Organization for Standardization.
Peltier, T. R., 2001. Information Security Risk Analysis. Auerbach Publications.

Planned Learning Activities and Teaching Methods

Lectures and in-class practices.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Exam.

Language of Instruction

Turkish

Course Policies and Rules

It is imperative to attend 70% of the courses and fulfill the requirements of the course.

Contact Details for the Lecturer(s)

eda.avci@deu.edu.tr

Office Hours

The day and the time of the course announced for that semester.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation about subject 12 1 12
Preparation for midterm exam 1 5 5
Preparation for final exam 1 8 8
Preparations before/after weekly lectures 12 2 24
In-class practices 12 3 36
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 123

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17PO.18PO.19PO.20
LO.15
LO.25
LO.35
LO.45
LO.55

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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