D60008 - DIGITAL TWIN AND METAVERSE

courses

ID:

D60008

Duration (hours):

48

CFU:

SSD:

Telecommunications

Located in:

REGGIO DI CALABRIA

Url:

Course Details:

COMPUTER AND TELECOMMUNICATIONS SYSTEMS ENGINEERING/comune Year: 2

Year:

2025

Date/time interval

Secondo Ciclo Semestrale (23/02/2026 - 29/05/2026)

Course Objectives

DIGITAL TWIN

Provide an in-depth understanding of the Digital Twin (DT) concept as well as its applications and impact on various verticals of future sixth-generation (6G) networks, including eHealth, Industry 5.0, etc.

METAVERSE

Provide a comprehensive understanding of the fundamental principles, technologies, and applications that support the metaverse, with a particular emphasis on their relevance to the telecommunications industry.

Course Prerequisites

Basic understanding of telecommunications. Interest in emerging technologies and their applications.

Teaching Methods

Theoretical lessons, hands-on exercises, and code implementation.

Assessment Methods

Assessment methods: Oral examination.

The examination is structured into two parts:

a first part dedicated to the Digital Twin module, aimed at assessing knowledge of the fundamental concepts, enabling technologies, and main application scenarios;
a second part dedicated to the Metaverse module, aimed at assessing the understanding of reference models, involved technologies, and the main challenges and future perspectives.

Evaluation criteria:

30 with honors: The student demonstrates a complete, in-depth, and critical knowledge of the course contents related to Digital Twin and Metaverse, including enabling technologies and main application scenarios, as well as excellent command of technical and scientific terminology. The student is able to critically analyze and autonomously apply the acquired knowledge to the discussion of complex problems and application case studies.
28 – 30: The student demonstrates a complete and in-depth knowledge of the course contents and excellent command of technical terminology. The student is able to correctly interpret and autonomously apply the acquired knowledge.
24 – 27: The student demonstrates a good knowledge of the course contents and an appropriate use of technical terminology. The student is able to correctly apply the acquired knowledge to the solution of standard problems.
20 – 23: The student demonstrates sufficient knowledge of the course contents, with limited ability to further elaborate. The student is able to apply basic knowledge in simple contexts.
18 – 19: The student demonstrates basic knowledge of the main course contents and an elementary use of technical terminology. The student is able to apply the acquired knowledge in a guided manner.
< 18 – Fail: The student does not demonstrate adequate knowledge of the course contents nor achievement of the expected learning outcomes.

Texts

Learning materials provided by the teachers.

Course program, divided into learning modules

DIGITAL TWIN (3 CFU)

The Digital Twin: definition and history (0.5 CFU)
Main applications (0.75 CFU)
Key supporting telecommunications technologies (e.g., IoT, sensors, cloud/edge computing) (0.75 CFU)
Ethical and technological limitations to the development of the Digital Twin (0.5 CFU)
How will the enabling technologies of future 6G networks help the successful roll-out of DT? (0.5 CFU)

METAVERSE (3 CFU)

The concept and potential of the metaverse (0.5 CFU)
The key technologies that underpin the metaverse (0.5 CFU)
The challenges and opportunities facing the metaverse (1 CFU)
The role of standardization in shaping the metaverse (0.5 CFU)
The future of the metaverse with 6G technology (0.5 CFU)

Expected learning outcomes

Assessment methods: Oral examination.

The examination is structured into two parts:

a first part dedicated to the Digital Twin module, aimed at assessing knowledge of the fundamental concepts, enabling technologies, and main application scenarios;
a second part dedicated to the Metaverse module, aimed at assessing the understanding of reference models, involved technologies, and the main challenges and future perspectives.

Dublin Descriptors:

Knowledge and understanding: The student acquires knowledge of the theoretical and technological foundations of Digital Twin and the Metaverse, understanding their models, enabling technologies, architectures, and main application domains.
Applying knowledge and understanding: The student is able to apply the acquired knowledge to analyze application scenarios, identify appropriate technological solutions, and discuss case studies related to Digital Twin and the Metaverse.
Making judgements: The student is able to critically evaluate technologies and solutions, analyzing their advantages, limitations, and implications in terms of performance, security, and sustainability.
Communication skills: The student is able to clearly present the covered topics using appropriate technical terminology, coherently arguing design choices and proposed solutions.
Learning skills: The student develops the ability to autonomously update their knowledge in a continuously evolving technological field.