ADVANCED DIGITAL TECHNOLOGIES FOR E-TOURISM

The course falls within the area of ICT technologies. Specifically, it covers some advanced notions of computer science technologies at the core of the digitalisation processes in the management of the hospitality sector, including the use of social media, online booking and travel portals.

The student will acquire the necessary skills to:
- master the advanced topics of computer science and ICT
- apply ICT and analytics in the tourism sector
- acquire knowledge about databases and data-warehouses for the management of touristic data
- acquire advanced knowledge about ICT tools

The course falls within the area of ICT technologies. Specifically, it covers the foundational notions of computer science technologies at the core of the digitalisation processes in the management of the hospitality sector, including the use of modern techniques based on AR/VR, blockchain, and artificial intelligence.

1) Knowledge and understanding: students will develop knowledge and will understand the main digital technologies for the digitalization of processes in the hospitality sector, including the use of social media and online reservation systems.

2) Applying knowledge and understanding: the students will be able to apply algorithmic and quantitative methods for the analysis of data collected by a company or on the social media.

3) Making judgements: student will be able to choose the most appropriate method to a given problem and to evaluate its performance.

4) Communication skills: reporting a sound and comprehensive comparative analysis among different data analysis methods

5) Learning skills: being able to autonomously adopt new techniques and methods.

Knowledge of Python and SQL.

Advanced digital data representation
Algorithms on graphs
Distributed algorithms
Blockchain and cryptocurrencies
Artificial intelligence and machine learning
Internet of Things
Realtime CG
Augmented, virtual and mixed reality
Robots in hospitality
API and REST interfaces
e-tourism applications and platforms

Teaching material made available by the teacher.

Learning outcomes are verified by a written exam and a the discussion of a lab project.

The written exam consists in questions and short exercises regarding the theory of the subjects discussed during the course. The written exam evaluates the achievement of the learning outcomes 1, 2 and 3.

The lab project requires to implement a data analysis algorithm. Students must motivate their implementations and deliver a report, to be discussed with the teacher. The project work evaluates the achievement of learning outcomes 3, 4 and 5

The final grade is calculated as a weighted combination of the exam (70%) and project work (30%).

Frontal lectures, seminars, and practical activities

English

written