REGINNA 4.0 Third Summer School: «Deep Tech training on Industry 4.0, Artificial Intelligence, Nanotechnology and Entrepreneurship»

Contribution List

16. Welcome

Laura Fernández-Robles (Universidad de León)

12/04/2024, 09:00

1. Digital Transformation Journey

Mr Massimiliano Bertetti

12/04/2024, 09:15

Syllabus outline:
Introduction to industry 4.0 (30’)
How to guide a Digital Transformation Project (30’)
Digital Transformation Project: evidences from the FVG firms (30’)

Objective competences:
1 Comprehensive overview about digital transformation.
2.Knowledge acquisition about enabling technologies and digital use cases
3.Basic knowledge and methods about how to support a successful...

2. Introduction to Machine Learning

Mrs Rocío Alaiz Rodríguez

12/04/2024, 10:00

Syllabus outline:
Concept of Machine Learning and application fields. Slides: 15 minutes
Supervised and unsupervised learning. Slides: 20 minutes
Approaching a problem of learning from examples. Slides: 25 minutes
First (simple) classifier: K-Nearest Neighbours (K-NN). Slides: 10 minutes
Another classifier: Naïve Bayes. Slides: 20 minutes
Evaluating classifiers’ performance. Slides: 30...

3. Machine Learning and Computer Vision in Industry 4.0: Use case 1

Mrs Alicia Martínez Mendoza, Mr Francisco Jáñez Martino

12/04/2024, 12:00

Syllabus outline:
Use pretrained Support Vector Machine (SVM) traditional model to classify steel plates. Hands-on: 120 minutes.
Visualization of a classifier trained on computer vision.
Training and test data visualization.
Estimation of the class of independent examples using a pretrained model.

Objective competences:
1. To observe in practice the application of a SVM in image...

4. Introduction to Convolutional Neural Networks and its application in Computer Vision

Mr Eduardo Fidalgo Fernández

12/04/2024, 14:30

Syllabus outline:
1. Neural Networks. Slides: 15 minutes
2. Image Convolution. Slides: 15 minutes
3. Convolutional Neural Networks. Slides: 35 minutes.
4. Issues with CNNs: 15 minutes
5. Some applications: 10 minutes

Objective competences:
1. Know the concept of convolution and its applications in image processing.
2. Identify the building blocks of a Neural Network and a...

5. Machine Learning and Computer Vision in Industry 4.0: Use case 2

Mrs Alicia Martínez Mendoza, Mr Roberto Andrés Carofilis Vasco

12/04/2024, 16:30

Syllabus outline:
Use pretrained Convolutional Neural Networks (CNNs) to classify inserts. Hands-on: 120 minutes.
Visualization of the structure of a CNN architecture.
Training and test data visualization.
Estimation of the class of independent examples using a pretrained model.

Objective competences:
1. To observe in practice the application of a CNN in image processing.
2. To...

6. Additive manufacturing as a mean for supporting rapid development of innovative products

Joaquín Barreiro García (Universidad de León), Mrs Sofía Peláez

19/04/2024, 10:00

Syllabus outline:
1. What is additive manufacturing and its basic operating principle (10 minutes)
2. Review of groups of technologies and materials in additive manufacturing (40 minutes)
3. Capabilities, advantages, constraints and limits of additive manufacturing (15 minutes)
4. Application of additive manufacturing for innovating. Scope of application (15 minutes)
5. Trends and future...

7. Additive manufacturing as a mean for supporting rapid development of innovative products

Joaquín Barreiro García (Universidad de León), Mrs Sofía Peláez

19/04/2024, 12:00

Syllabus outline:
1. What is additive manufacturing and its basic operating principle (10 minutes)
2. Review of groups of technologies and materials in additive manufacturing (40 minutes)
3. Capabilities, advantages, constraints and limits of additive manufacturing (15 minutes)
4. Application of additive manufacturing for innovating. Scope of application (15 minutes)
5. Trends and future...

8. Reverse engineering and inspection in digital factory

Joaquín Barreiro García (Universidad de León), Mrs Sara Giganto

19/04/2024, 12:45

Syllabus outline:
1. What is reverse engineering and difference with inspection (5 minutes)
2. Review of technologies for reverse engineering (15 minutes)
3. Technologies for automated inspection in coordinate metrology (5 minutes)
4. Capabilities, advantages, constraints and limits of optical systems for reverse engineering and inspection (10 minutes)
5. Practical case of part...

9. Nanomaterials: Introduction

Mrs Liliia Turovska

19/04/2024, 14:30

Syllabus outline:
Nanotechnology and nanomaterials.
Classifications of nanomaterials, their properties.
Historical overview of nanomaterials.
Reasons for special properties of nanoscale materials.
Classical and quantum size effects.
Basic concepts of quantum physics.
The energy of an electron in an atom.
Harmonic oscillator: transition from classical to quantum theory.
Wave-particle...

10. Nanomaterials: Magic of carbon

Mrs Volodymyra Boichuk

19/04/2024, 16:30

Syllabus outline:
Carbon. Allotropes.
Electronic structure of carbon.
Diamond:properties.
Graphite: properties.
Graphene:unique properties, crystal structure, production.
Graphene oxide and graphite oxide.
Obtaining graphene oxide.
Reduced graphene oxide.
Carbon nanotubes: synthesis, chirality, properties.
Fullerenes: synthesis,properties, application.
Applications of carbon...

11. Introduction to Industrial Cybersecurity

Mr Miguel Ángel Prada Medrano

03/05/2024, 10:00

Syllabus outline:
1. Relevance of industrial cybersecurity
2. Distinctive features of industrial control systems
3. Threats, vulnerabilities and impact
4. Known incidents
5. Security measures in industrial control systems

Objective competences:
1. Awareness of cybersecurity risks in industrial control systems and critical infrastructures
2. Overview of the features of industrial...

12. An Introduction to Quantum computing

Egon Pavlica (UNG)

03/05/2024, 12:00

Syllabus outline:
Participants will learn about quantum phenomena, which govern nature. These quantum phenomena will be explained through photon's interference, which will be introduced by double-slit and double-beam splitter experiments. Next, classical computation will be compared to quantum computation. Quantum bit will be introduced. Participants will learn through an example of the...

13. Innovation on the field (real cases)

Mr Simon Mokorel (RRA NORTH PRIMORSKA)

03/05/2024, 12:45

Syllabus outline:
From invention to innovation
Art & Design Thinking
Cases of innovation

Objective competences:
Overview and critical reflection on the main differences between invention and innovation

Intended learning outcomes:
Understanding how inventions become innovations
Reflect on real cases of innovation

14. Entrepreneurship and start-up management

Giancarlo Lauto (Department of Economics and Statistics)

03/05/2024, 14:30

Syllabus outline:
1. What is an entrepreneur? (Lecture)
2. Approaches to the start-up phase (Lecture)
3. The lean start-up approach in action (Hands-on)

Objective competences:
1. An overview of the features of entrepreneurial activities
2. A discussion of various approaches that individuals may adopt when they start a new venture
3. An application of the lean start-up approach to a...

15. Business strategies in high-innovation potential areas (Nanotechnology, Industry 4.0, Artificial intelligence)

Mrs Valentina Yakubiv (VASYL STEFANYK PRECARPATHIAN NATIONAL UNIVERSITY)

03/05/2024, 16:30

Syllabus outline:
This course aims to equip students with knowledge and skills in business strategy development and management process of its implementation in high-innovation potential areas (Nanotechnology, Industry 4.0, Artificial intelligence). This course focuses on strategic analysis, strategic planning, developing and implementing strategies.

Objective competences:
A comprehensive...