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 “Security and Networking” will be able to:

• Understand and explain different devices and protocols used in computer networking;
• Design, configure and manage computer networks while taking into account application needs;
• Identify large scale distributed and parallel applications, the problems occurring with these applications and propose solutions;
• Carry out distributed applications by implementing the appropriate techniques;
• Understand the characteristics of distributed systems: parallelism, synchronisation, communication, error and threat models;
• Use appropriate techniques, algorithms and languages to design, model and analyse distributed applications;
• Understand and implement mechanisms (cryptography, protocols) to secure networks and distributed systems.

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.