Detailed programme by subject

Students completing the major in Artificial Intelligence: big data, optimization and algorithms will be able to:

• Identify and implement methods and techniques that allow software to solve complex problems that when solved by humans require “intelligence”,
• Understand and put to good use methods and techniques relating to artificial intelligence such as automatic reasoning, research and heuristics, acquisition and representation of knowledge, automatic learning, problems associated with overcoming constraints,
• Identify applications and its methods and tools; understand a particular category of applications and its related techniques, for example robotics, computer vision, planning, data mining, computational linguistics and bioinformatics, big data processing,
• Formalise and structure a body of complex knowledge and use a systematic and rigorous approach to develop quality “intelligence” systems.

Students completing the major “Software engineering and programming systems” will be able to:

• Understand and explain problems that come up during large scale software projects as well as the long-term critical impact that their choice of solutions may have (construction dimensions as well as validation, documentation, communication and management of a project involving large teams as well as costs and deadlines),
• Select and apply methods and tools of software engineering to develop complex software systems and meet strict quality standards: reliability, adaptability, scalability, performance, security, usefulness,
• Model the products and processes necessary to obtain such systems and analyse these models,
• Develop and implement analytical programmes focused on conversion and optimisation as well as computer representations,
• Put to good use different programming paradigms and languages, in particular those that deal with functional, object-oriented and competing programmes,
• Understand the issues associated with different and competing programming models and use the appropriate model,
• Define a new language (syntax and semantics) suitable to a specific context.

Students completing the major “Data science and Applied Mathematics” must be able to:

• Understand engineering fields requiring synergy between applied mathematics and computer science such as algorithms, scientific calculations, modelling computer systems, optimisation, machine learning or data mining;
• Understand and put to good use algorithms and techniques used in data science;
• Identify and implement models and techniques relating to statistics, machine learning and data mining;
• Learn classes of applications such as the treatment of noisy data, pattern recognition or automatic extraction in large data collections.

Students who have completed the "Cybersecurity and Information Technology" track should be able to:

• Understand areas of engineering that require synergy between computer security, networks, and systems, such as cryptography, data protection, application security, security architecture, or programming,

• Comprehend and appropriately apply methods and techniques related to cybersecurity, including prevention, detection, and response to cyber threats,

• Identify and implement security practices and standards to protect the infrastructure, systems, and data of organizations,

• Apply their knowledge to real-life scenarios through projects.

Students who have completed the “Networks and Systems" track should be able to:

• Understand and explain different devices and protocols used in computer and cellular networks;
• Design, configure and manage computer networks while taking into account application needs;
• Understand the operation of IoT and cellular networks;
• Explain the problems that affect cellular and IoT networks and develop solutions to cope with them;
• Understand how to optimise applications to efficiently use parallel cores;
• Understand, implement and use lock-free data structures;
• Understand the interactions between real-time operating systems and hardware;
• Design and implement applications running on embedded systems

Students completing the major in "Health informatics" will be able to:

• Identify and use methods and techniques that provide software-based solutions to complex problems encountered in hospitals, in bio-pharmaceutical environments, in life sciences, or in digital health.
• Take part in multidisciplinary projects bringing together medical, biological and engineering expertise to the benefit of patient health.
• Understand and put to good use the methods and techniques pertaining to medical informatics and bioinformatics, such as artificial intelligence, health interoperability, clinical knowledge structuring, applied statistics, information security, software quality, as well as the effective management and processing of large volumes of data.
• Understand specific categories of applications where these methods and techniques can be applied, such as diagnostic support, therapeutic assistance, hospital information systems, medical and biomedical imaging, smart devices, clinical trials, health data mining, as well as automated processing of the medical language.
• Formalise and structure a body of complex knowledge by using a systematic and rigorous approach to the development of high-quality medical and biomedical information systems.