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...
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...
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...
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...
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...
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...
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...
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...
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
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...
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...
