Descrizione del corso
Il corso si configura come il completamento del più ampio programma formativo “Digital Twins and AR/VR applications – Basic Modules”. Questo modulo specialistico approfondisce, quindi, le varie tematiche connesse al mondo dell’AR/VR e Digital Twins nel settore manufatturiero, integrando le competenze acquisite dagli utenti grazie ai moduli generali con esempi pratici e casi studio. LeDAM - Digital twins and AR/VR applications - Specialisation module è parte del programma di formazione online “LeDAM - Leveraging competences and skills of professionals in digital and automated manufacturing processes”, un progetto europeo co-finanziato da EIT Manufacturing, la comunità della Conoscenza e dell'Innovazione (KIC) dell’Istituto Europeo per l’Innovazione dedicata al mondo manufatturiero.
Il corso è strutturato intorno a tre MODULI. Ogni MODULO prevede lezioni costituite da video, testi e quiz.
- MODULO 1 – Digital Twin Technologies: 1.1 The industrial internet of things -
1.2 IoT applications - 1.3 Enabling technologies for Digital Twins - 1.4 Edge cloud computing - 1.5 Predictive Maintenance and production Optimization
- MODULO 2 – Augmented and Virtual Reality systems: 2.1 Augmented and Virtual Reality universe - 2.2 Virtual reality definition and applications - 2.3 Augmented reality definition and applications - 2.4 AR/VR reality check and capabilities - 2.5 Implications for VR for managerial practice -
2.6 Innovation processes stimulated by AR/VR applications
- MODULO 3 – Industrial Applications: 3.1 Digital Twins for manufacturing -
3.2 Digital Twins for Industry 4.0 & 5.0 - 3.3 Predictive Maintenance in Industry - 3.4 Digital Twins in other industrial applications - 3.5 VR examples for maintenance training - 3.6 VR Applications - 3.7 Marposs Case Study on VR devices for predictive maintenance.
Attestato di partecipazione
L'Attestato di Partecipazione verrà rilasciato a chiunque avrà completato positivamente il corso, rispondendo correttamente ad almeno il 60% delle domande entro la fine dell'edizione. Dopo aver completato con successo il corso, sarà possibile scaricare e stampare il certificato che, tuttavia, non conferisce alcun credito accademico, né voto o titolo di laurea.
Docenti del corso
Paolo Bellavista
Paolo Bellavista ha conseguito la laurea magistrale e il dottorato di ricerca in ingegneria informatica presso l'Università di Bologna, dove è professore ordinario di sistemi distribuiti e mobili. Le sue attività di ricerca spaziano dal wireless computing pervasivo all'elaborazione online di big data con vincoli di qualità, dall'edge cloud computing al middleware per le applicazioni dell'Industria 4.0. Ha pubblicato circa 300 articoli, di cui circa 120 sulle maggiori riviste internazionali nei settori sopra indicati; fa parte di diversi comitati editoriali, tra cui IEEE COMST (Associate EiC), ACM CSUR, ACM TIOT e Elsevier JNCA e PMC. È coordinatore scientifico del progetto BigData H2020 IoTwins.
Gustavo Marfia
Gustavo Marfia è professore ordinario di Informatica presso l'Università di Bologna. I suoi interessi di ricerca, a Bologna, si sono ampliati fino a includere i giochi online e l'uso di interfacce avanzate per supportare le interazioni uomo-computer. Il suo lavoro è stato oggetto di alcune importanti manifestazioni, come l’Expo mondiale di Shanghai nel 2010, e di dimostrazioni per la stampa, come presso l’Università della California, a Los Angeles, nel 2011.
Gabriele Pizzi
Gabriele Pizzi è Professore Associato di Marketing presso il Dipartimento di Management dell'Alma Mater Studiorum - Università di Bologna. I suoi interessi di ricerca riguardano la gestione dell'assortimento, l'impatto delle tecnologie innovative sull'attività di vendita al dettaglio e l'analisi longitudinale della soddisfazione del cliente. Le sue ricerche sono state pubblicate su riviste internazionali come Journal of Retailing, Journal of Business Research, Journal of Service Research e Journal of Retailing and Consumer Services, Journal of Interactive Marketing e altre.
Virginia Vannucci
Virginia Vannucci è professoressa associata di Marketing presso l'Università di Bologna, Italia. I suoi interessi di ricerca riguardano il marketing, in particolare il marketing al dettaglio, le tecnologie digitali, l'innovazione, il branding, il marketing internazionale, la digitalizzazione, i big data e le questioni relative alla privacy. I suoi articoli sono stati pubblicati su riviste internazionali come Journal of Retailing, Journal of Business Research, Computers in Human Behavior, Information Technology and People, Journal of Retailing and Consumer Services.
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About This Course
The course is configured as the completion of the wider training program "Digital Twins and AR/VR applications - Basic Modules". This specialized module, therefore, delves into the various topics connected to the world of AR/VR and Digital Twins in the manufacturing sector, integrating the skills acquired by the users with some practical examples and case studies. LeDAM - Digital twins and AR/VR applications - Specialization module is part of the online training program “LeDAM - Leveraging competences and skills of professionals in digital and automated manufacturing processes”, a European project co-financed by the EIT Manufacturing, the Knowledge community and Innovation (KIC) of the European Institute for Innovation dedicated to the manufacturing world.
The course is structured around three THEMES. Each THEME has lessons consisting of videos, texts, and quizzes.
- Theme 1 – Digital Twin Technologies: 1.1 The industrial internet of things -
1.2 IoT applications - 1.3 Enabling technologies for Digital Twins - 1.4 Edge cloud computing - 1.5 Predictive Maintenance and production Optimization
- Theme 2 – Augmented and Virtual Reality systems: 2.1 Augmented and Virtual Reality universe - 2.2 Virtual reality definition and applications - 2.3 Augmented reality definition and applications - 2.4 AR/VR reality check and capabilities - 2.5 Implications for VR for managerial practice -
2.6 Innovation processes stimulated by AR/VR applications
- Theme 3 – Industrial Applications: 3.1 Digital Twins for manufacturing -
3.2 Digital Twins for Industry 4.0 & 5.0 - 3.3 Predictive Maintenance in Industry - 3.4 Digital Twins in other industrial applications - 3.5 VR examples for maintenance training - 3.6 VR Applications - 3.7 Marposs Case Study on VR devices for predictive maintenance.
This course has been co-funded by the European Union in the frame of the 2022 EIT Manufacturing Call for Education projects.
Requirements
Preliminary attendance of LeDAM - Digital twins and AR/VR applications - Basic modules is recommended.
Quizzes and scores
The course is considered successfully completed if the participant answers correctly at least 60% of the questions in total.
Certificate of Accomplishment
The Certificate of Accomplishment will be released to anyone who has successfully completed the course by answering correctly to at least 60% of the questions by the end of the edition. After successfully completing the course, you can download and print out the Certificate of Accomplishment. The Certificate of Accomplishment does not confer any academic credit, grade or degree.
Subtitles
For better understanding, Italian subtitles are available for each video lesson and can be activated or not. If you want to revise some crucial passages you can move through the video content and click on the attached text.
Additional material
To deepen the topics discussed in the modules, you will find bibliography and other helpful documents in the Additional Material section.
FAQ
For further information, see FAQ page.
Course Professors
Paolo Bellavista
Paolo Bellavista received MSc and PhD degrees in computer science engineering from the University of Bologna, Italy, where he is a full professor of distributed and mobile systems. His research activities span from pervasive wireless computing to online big data processing under quality constraints, from edge cloud computing to middleware for Industry 4.0 applications. He has published around 300 papers, with around 120 of them on the major international journals in the above fields; he serves on several Editorial Boards, including IEEE COMST (Associate EiC), ACM CSUR, ACM TIOT, and Elsevier JNCA and PMC. He is the scientific coordinator of the H2020 BigData H2020 IoTwins – /.
Gustavo Marfia
Gustavo Marfia is a full professor of Computer Science at the University of Bologna. His research interests, in Bologna, have expanded to include online gaming and the use of advanced interfaces to support human-computer interactions. His work has been the subject of some relevant events, such as the Shanghai World Expo in 2010, and press demonstrations, such as at the University of California, Los Angeles, in 2011.
Gabriele Pizzi
Gabriele Pizzi is Associate Professor of Marketing at the Department of Management of the University of Bologna, Italy. His research interests deal with assortment management, the impact of innovative technologies on the retailing activity and the longitudinal analysis of customer satisfaction. His researches have been published in international journals such as the Journal of Retailing, Journal of Business Research, Journal of Service Research and Journal of Retailing and Consumer Services, Journal of Interactive Marketing and others.
Virginia Vannucci
Virginia Vannucci is Assistant Professor of Marketing at the University of Bologna, Italy. Her research interests are marketing, especially retail marketing, digital technologies, innovation, branding, international marketing, digitalization, big data, and privacy issues. Her articles have been published in international journals such as Journal of Retailing, Journal of Business Research, Computers in Human Behavior, Information Technology and People, Journal of Retailing and Consumer Services, among others.
