{"version":"1.0","provider_name":"i40","provider_url":"https:\/\/i40.dit.uoi.gr","author_name":"Dimitris Mitrogiorgos","author_url":"https:\/\/i40.dit.uoi.gr\/index.php\/author\/dim_mitrogiorgos\/","title":"Digital Twin Technologies - i40","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"QQxws0KdET\"><a href=\"https:\/\/i40.dit.uoi.gr\/index.php\/en\/industrial-cybersecurity\/\">Digital Twin Technologies<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/i40.dit.uoi.gr\/index.php\/en\/industrial-cybersecurity\/embed\/#?secret=QQxws0KdET\" width=\"600\" height=\"338\" title=\"&#8220;Digital Twin Technologies&#8221; &#8212; i40\" data-secret=\"QQxws0KdET\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/i40.dit.uoi.gr\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"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\u200b 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\u200b Data search &amp; synthesis Independent project Team project Interdisciplinary environment Inductive &amp; Creative Thinking Syllabus\u200b 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 &amp; Workload\u200b Semester Workload Evaluation Methods 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 ActivityHoursLectures39 Bibliographic Assignment 31 Project Implementation 25 Independent Study 30Course Total125 Quiz Online quizzes by week or module Individual Project Final Individual Project Presentation Team Project Final Team Project Presentation Bibliography Recommended Textbooks Scientific Journals Digital Twins from Smart Manufacturing to Smart Cities: A SurveyG. Mylonas, A. Kalogeras, G. Kalogeras, C. Anagnostopoulos, C. Alexakos and L. Mu\u00f1oz Digital Twins for Protecting Cultural Heritage Against Climate ChangeG. Mylonas, A. Kalogeras, G. Pavlidis, A. Lalos and A. Garc\u00eda-L\u00f3pez Cyber-physical systems and digital twins in the industrial Internet of ThingsC. Koulamas and A. Kalogeras Enabling technologies and tools for digital twinQ. Qi, F. Tao, T. Hu, N. Anwer, A. Liu, Y. Wei, et al. Digital twin: Values challenges and enablers from a modeling perspectiveA. Rasheed, O. San and T. Kvamsdal IEEEInternet of Things IEEEAccess ElsevierBuilding and Environment ElsevierComputers &amp; Industrial Engineering MDPIBuildings Digital Twins from Smart Manufacturing to Smart Cities: A SurveyG. Mylonas, A. Kalogeras, G. Kalogeras, C. Anagnostopoulos, C. Alexakos and L. Mu\u00f1oz Digital Twins for Protecting Cultural Heritage Against Climate ChangeG. Mylonas, A. Kalogeras, G. Pavlidis, A. Lalos and A. Garc\u00eda-L\u00f3pez Cyber-physical systems and digital twins in the industrial Internet of ThingsC. Koulamas and A. KalogerasEnabling technologies and tools for digital twinQ. Qi, F. Tao, T. Hu, N. Anwer, A. Liu, Y. Wei, et al.Digital twin: Values challenges and enablers from a modeling perspectiveA. Rasheed, O. San and T. KvamsdalIEEEInternet of ThingsIEEEAccess ElsevierBuilding and Environment ElsevierComputers &amp; Industrial EngineeringMDPIBuildings Course Information Semester \u0391\u0384 ECTS5 Minutes per Week 180 Type Specialized Knowledge Requirements \u2014 Course Format Synchronous 30% Asynchronous 70% Remote e-class Erasmus \u2713 Technologies &amp; Tools MATLAB Simulink LiDAR DT AI IoT &amp; IIoT Back to Courses Page \u03a0\u03bb\u03b1\u03c4\u03c6\u03cc\u03c1\u03bc\u03b1 e-class \u03a5\u03bb\u03b9\u03ba\u03cc \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03b2\u03af\u03bd\u03c4\u03b5\u03bf, forum &amp; \u03b1\u03bd\u03b1\u03ba\u03bf\u03b9\u03bd\u03ce\u03c3\u03b5\u03b9\u03c2 \u03a0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03bf e-class"}