Responsible Artificial Intelligence and E-health
Grade : Master of Science ;
Duration : 96h00 ;
Degree of complexity :
This module explores the application of AI in healthcare, from the acquisition of medical data (MRI, CT scan, ECG, Motion capture) to advanced analysis. It focuses on developing algorithms to detect anomalies and track disease progression, while integrating regulations and best practices in the field. Particular attention is given to adapting AI models to the specific needs of patients. The module includes a practical project in collaboration with companies and laboratories, combining data acquisition, programming, and interfacing.
Intelligent Interaction and Augmented Vision
Grade : Master of Science ;
Duration : 96h00 ;
Degree of complexity :
This module offers a specialization in computer graphics and image processing, combining key areas of the field. It covers artificial vision, including detection and recognition, as well as the study of vision sensors (RGB, IR, Depth). It also includes the development of 3D applications using Unreal Engine 5, the design and evaluation of human-computer interactions, and the creation of applications in Virtual and Augmented Reality.
Deep Learning for Computer Vision
Grade : Master of Science ;
Duration : 72h00 ;
Degree of complexity :
This module explores the application of AI in sectors such as healthcare, industry, and security, focusing on advanced image analysis techniques for designing decision support systems. Students learn to tackle complex computer vision problems using models like CNNs and transformers, and to evaluate the performance of these systems (overfitting, underfitting). The course also covers concepts such as transfer learning, data augmentation, and data preparation. Group projects provide an opportunity to apply these skills in practice.
Introduction to Data Science
Grade : Bachelor of Science ;
Duration : 72h00 ;
Degree of complexity :
This module provides a comprehensive introduction to fundamental concepts such as data, variables, as well as data mining and preprocessing techniques. The program also covers the most common data mining methods, including multivariate analysis, clustering, and text mining, to analyze complex datasets. In Machine Learning, students will learn to distinguish between supervised and unsupervised learning and understand its connection to artificial intelligence. Finally, the course address the ethical and societal challenges associated with the evolution of data science and artificial intelligence.
Fundamentals of Networks and Security
Grade : Bachelor of Science ;
Duration : 72h00 ;
Degree of complexity :
This module covers the fundamentals of networking through four main areas: quality of service and network modeling, principles of operating systems and the TCP/IP protocol, network security including cryptography and vulnerability protection, and system virtualization, which enables multiple environments to run on a single machine.
Database Management System
Grade : Bachelor of Science ;
Duration : 24h00 ;
Degree of complexity :
This module provides a better understanding of the ecosystem of a database-driven software program. It introduces students to the concepts and methodologies used in the professional sector. The skills developed include designing and managing databases using the MERISE method, as well as learning SQL to process and extract information. The program covers fundamental database concepts, information system modeling, and data processing using SQL.