{"version":"1.0","provider_name":"i40","provider_url":"https:\/\/i40.dit.uoi.gr","author_name":"i40admin","author_url":"https:\/\/i40.dit.uoi.gr\/index.php\/author\/i40admin\/","title":"Core Courses - i40","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"9qNdFXshSE\"><a href=\"https:\/\/i40.dit.uoi.gr\/index.php\/en\/core-courses\/\">Core Courses<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/i40.dit.uoi.gr\/index.php\/en\/core-courses\/embed\/#?secret=9qNdFXshSE\" width=\"600\" height=\"338\" title=\"&#8220;Core Courses&#8221; &#8212; i40\" data-secret=\"9qNdFXshSE\" 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":"CurriculumProgramme Courses A detailed overview of all courses by semester, based on the official Course Descriptions document (D3.4). Click on any course to read a brief description and follow the link to its full syllabus. 3 Semesters 18 Available courses 90 Total ECTS 1st Semester 2nd Semester 01Introduction to Industry 4.0 and 5.0 Core technologies of Industry 4.0 and 5.0 \u2014 artificial intelligence, data science, Industrial Internet of Things (IIoT) and cloud computing. Understanding the evolution of industrial automation and real-world use cases in manufacturing environments. View full syllabus 02Machine Learning for Industry From regression, decision trees and Support Vector Machines (SVM) to recurrent neural networks and deep learning. Emphasis on feature selection techniques and ensemble algorithms applied to industrial datasets. View full syllabus 03Internet of Things (IoT) in Industry IoT\/IIoT architectures, protocols and devices, with a focus on the convergence of Information Technology (IT) and Operational Technology (OT). Industrial IoT applications in real-world manufacturing scenarios. View full syllabus 04Cyber-Physical Systems for Industry Fundamental concepts and architectures of Cyber-Physical Systems (CPS), their relationship with automatic control, distributed real-time embedded systems, IIoT and digital twins within the Industry 4.0 framework. View full syllabus 05Digital Twin Technologies Creation and deployment of digital twins for modelling physical objects and processes, using photogrammetry, machine learning and large language models. Real-world use cases in Industry 4.0 applications. View full syllabus 06Augmented and Virtual Reality in Industry Extended Reality (XR) technologies and their relevance to Industry 4.0. Hands-on development of XR solutions for training, design and digital transformation of industrial processes across different sectors. View full syllabus 07Circular Economy in Industry Circular economy principles embedded within the Industry 4.0 framework \u2014 remanufacturing, industrial symbiosis, smart cities and the design of sustainable production chains. Practical skills for real-world circular economy applications. View full syllabus 08Natural Language Processing for Industry Fundamental NLU\/NLG techniques and machine learning models for text analysis, with a focus on industrial applications such as document processing, automated reporting and conversational AI systems. View full syllabus 01Industrial Cybersecurity Cybersecurity principles for Industrial Control Systems (ICS) and Operational Technology (OT), from threat detection and vulnerability assessment to incident response and security of industrial protocols (Modbus, OPC UA). View full syllabus 02Big Data and Analytics Signal processing methods, data compression, dimensionality reduction and optimisation techniques for large-scale industrial datasets. Spatial data indexing structures and iterative optimisation schemes. View full syllabus 03Smart Industry Integration of AI, IoT and data analytics to build a manufacturing environment that dynamically adapts to production and supply chain requirements. Principles of digital and innovative industrial transformation. View full syllabus 04Research Methodology, Scientific Writing &amp; Project Management Scientific methodology (research design and execution), technical writing, and project management. Use of AI tools (e.g. ChatGPT) for document drafting and project scenario simulation. View full syllabus 05Blockchain for Industry Blockchain technology, cryptographic security and consensus mechanisms (Proof of Work, etc.), applied to improving transparency and integrity in industrial supply chains and distributed trusted systems. View full syllabus 06Computer Vision in Industry From digital image filtering and feature detection to Convolutional Neural Networks (CNN), depth estimation and object tracking in industrial production lines. Practical exercises in feature matching and image alignment. View full syllabus 07Human-Machine Interaction Principles of interactive systems design, usability evaluation methods and user interface development techniques, applied to real-world industrial information systems. From requirements gathering to prototype development. View full syllabus 08Network &amp; Systems Penetration Testing in Industry 4.0 \/ 5.0 Penetration testing methodologies and incident response procedures for industrial networks (IT\/OT convergence). Vulnerability discovery tools (Nmap, Metasploit, OpenVAS) and exploitation techniques targeting industrial protocols. View full syllabus 01Introduction to Industry 4.0 and 5.0 Core technologies of Industry 4.0 and 5.0 \u2014 artificial intelligence, data science, Industrial Internet of Things (IIoT) and cloud computing. Understanding the evolution of industrial automation and real-world use cases in manufacturing environments. View full syllabus 02Machine Learning for Industry From regression, decision trees and Support Vector Machines (SVM) to recurrent neural networks and deep learning. Emphasis on feature selection techniques and ensemble algorithms applied to industrial datasets. View full syllabus 03Internet of Things (IoT) in Industry IoT\/IIoT architectures, protocols and devices, with a focus on the convergence of Information Technology (IT) and Operational Technology (OT). Industrial IoT applications in real-world manufacturing scenarios. View full syllabus 04Cyber-Physical Systems for Industry Fundamental concepts and architectures of Cyber-Physical Systems (CPS), their relationship with automatic control, distributed real-time embedded systems, IIoT and digital twins within the Industry 4.0 framework. View full syllabus 05Digital Twin Technologies Creation and deployment of digital twins for modelling physical objects and processes, using photogrammetry, machine learning and large language models. Real-world use cases in Industry 4.0 applications. View full syllabus 06Augmented and Virtual Reality in Industry Extended Reality (XR) technologies and their relevance to Industry 4.0. Hands-on development of XR solutions for training, design and digital transformation of industrial processes across different sectors. View full syllabus 07Circular Economy in Industry Circular economy principles embedded within the Industry 4.0 framework \u2014 remanufacturing, industrial symbiosis, smart cities and the design of sustainable production chains. Practical skills for real-world circular economy applications. View full syllabus 08Natural Language Processing for Industry Fundamental NLU\/NLG techniques and machine learning models for text analysis, with a focus on industrial applications such as document processing, automated reporting and conversational AI systems. View full syllabus Core technologies of Industry 4.0 and 5.0 \u2014 artificial intelligence, data science, Industrial Internet of Things (IIoT) and cloud computing. Understanding the evolution of industrial automation and real-world use cases in manufacturing environments. View full syllabus From regression, decision trees and Support Vector Machines (SVM) to recurrent neural networks and deep learning. Emphasis on feature selection techniques and ensemble algorithms applied to industrial datasets. View full syllabus IoT\/IIoT architectures, protocols and devices, with a focus on the convergence of Information Technology (IT) and Operational Technology (OT). Industrial IoT applications in real-world manufacturing scenarios. View full syllabus Fundamental concepts and architectures of Cyber-Physical Systems (CPS), their relationship with automatic control, distributed real-time embedded systems, IIoT and digital twins within the Industry 4.0"}