Semester A
Mandatory
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.
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
Bibliographic Assignment
Project Implementation
Independent Study
Quiz
Online quizzes by week or module
Individual Project
Final Individual Project Presentation
Team Project
Final Team Project Presentation
Bibliography
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
C. Koulamas and A. Kalogeras
Q. Qi, F. Tao, T. Hu, N. Anwer, A. Liu, Y. Wei, et al.
A. Rasheed, O. San and T. Kvamsdal
Internet of Things
Access
Elsevier
Building and Environment
Computers & Industrial Engineering
Buildings
Course Information
Semester
Minutes per Week
180
Type
Specialized Knowledge
Requirements
Course Format
Synchronous
Asynchronous
Remote
e-class
Technologies & Tools
MATLAB
Simulink
LiDAR
DT
AI
IoT & IIoT
Πλατφόρμα e-class
Υλικό μαθήματος, βίντεο, forum & ανακοινώσεις
