Database management systems are a fundamental tool to store and analyze data in countless domains, empowering business intelligence as well as descriptive, predictive, and prescriptive analytics tasks. Choosing the right database technology is not trivial since, due to the intrinsic heterogeneous nature of information, different approaches must be followed to handle structured,...
In this course we will cover the basic concepts about machine learning with a theoretical and practical approach. Specifically, we will learn the concept of Machine Learning and Supervised Learning, a couple of classifiers (kNN and SVM) and how to evaluate them. Finally, we will learn how to create them in Python.
Objectives
- Comprehensive overview about machine learning basic...
In this course we will cover the basic concepts of Neural Networks and Convolutional Neural Networks with an application to the classification of inserts of a milling machine according to their wear level.
Objectives
- Know the concept of convolution and its applications in image processing.
- Identify the building blocks of a Neural Network and a Convolutional Neural Network.
3....
The aim of the lecture is to raise awareness about the relevance of cybersecurity in the context of Industry 4.0 and to get a glimpse of the most common threats and vulnerabilities in industrial control systems as well as the countermeasures available to mitigate risks.
Objectives
- Awareness of cybersecurity risks in industrial control systems and critical infrastructures
- Overview...
• What are the sources and types of data in tourism?
• How can data be analysed and visualized for tourism purposes?
• What are the benefits and challenges of using data in tourism?
• What are some examples of data applications in tourism
• Digital interpretation of cultural heritage and its potentials
• How a 3D model is made
• Making a simple 3D model with a mobile phone
• New media for 3D digital interpretation – from AR, to VR, immersive technologies and metaverse.
• Narrating a heritage story with digital technologies
• Overview of Odesa City as a tourist destination
• Organisation of tourism in Odesa
• Problems of tourism development in Odesa
• Application of Tourism 4.0 models to address these problems
• Results and discussion of the findings
