i40

Semester A

Mandatory

Remote

Digital Twin Technologies

The course aims to provide knowledge and practical skills for the creation and utilization of Digital Twins, covering fundamental concepts and technologies, Industry 4.0 applications, modeling of physical objects and processes, photogrammetry, machine learning and deep learning techniques, large language models, as well as applications of the Industrial Internet of Things, smart buildings, and sustainability. In addition, the course examines the use of Digital Twins in the Cultural and Creative Industries through real-world case studies.

ECTS Credits
0
Weeks
0
Total Hours
0
Bibliography Sources
0

Learning Outcomes​

1)

Understanding key concepts and definitions related to Digital Twins

2)

Proficiency in MATLAB, Simulink, photogrammetry software, LiDAR, and IoT sensor networks

3)

Knowledge of Industrial Applications: Smart Cities, Cultural Heritage Preservation, and Environmental Impact Assessment

4)

Project implementation skills: DT solutions, modeling of complex systems, application of AI simulations

5)

AI Integration: Connecting DT with Artificial Intelligence. Development of predictive maintenance systems

6)

Focus on Sustainability: Insights into How Digital Technologies Contribute to Sustainable Industries and Climate Change Mitigation

7)

Professional Development: Group project, presentations, and engagement with the industry

8)

Understanding the theoretical foundations of digital twins, combined with the acquisition of technical knowledge

General Skills​

Data search & synthesis

Independent project

Team project

Interdisciplinary environment

Inductive & Creative Thinking

Syllabus​

Week

Topic

1

Introduction to Digital Twins in Industry 4.0

2

Core Principles of Digital Twin Technologies

3

Advanced 3D Modeling Techniques

4

Applications of Digital Twins in Smart Cities

5

Project Design and Selection

6

Project Design and Selection

7

Energy Performance Modeling in Buildings

8

Advanced Digital Twin Creation Techniques

9

Midterm Project Presentations

10

Digital Twins in Industry 4.0

11

Advanced Simulation Techniques

12

Advanced Simulation Techniques

13

Final Project Presentations and Review

Evaluation & Workload​

Activity
Hours
Lectures
39

Bibliographic Assignment

31

Project Implementation

25

Independent Study

30
Course Total
125

Quiz

Online quizzes by week or module

Individual Project

Final Individual Project Presentation

Team Project

Final Team Project Presentation

Bibliography

Digital Twins from Smart Manufacturing to Smart Cities: A Survey
G. Mylonas, A. Kalogeras, G. Kalogeras, C. Anagnostopoulos, C. Alexakos and L. Muñoz

Digital Twins for Protecting Cultural Heritage Against Climate Change
G. Mylonas, A. Kalogeras, G. Pavlidis, A. Lalos and A. García-López

Cyber-physical systems and digital twins in the industrial Internet of Things
C. Koulamas and A. Kalogeras
Enabling technologies and tools for digital twin
Q. Qi, F. Tao, T. Hu, N. Anwer, A. Liu, Y. Wei, et al.
Digital twin: Values challenges and enablers from a modeling perspective
A. Rasheed, O. San and T. Kvamsdal
IEEE
Internet of Things
IEEE
Access

Elsevier
Building and Environment

Elsevier
Computers & Industrial Engineering
MDPI
Buildings

Course Information

Semester

Α΄
ECTS
5

Minutes per Week

180

Type

Specialized Knowledge

Requirements

Course Format

Synchronous

30%

Asynchronous

70%

Remote

e-class

Erasmus ✓

Technologies & Tools

MATLAB

Simulink

LiDAR

DT

AI

IoT & IIoT

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