This course provides an introduction to the tools and algorithms used in data analysis. After introducing the discipline and presenting a few fundamental algorithms (ACP, K-means etc.), we will introduce Python libraries that allow the processing of large volumes of data and the execution of mathematical processing (numpy, pandas). Teaching is mainly carried out through practical application in tutorials using Python with real data sets and projects. In the second part of the course, the problem of data visualization will be addressed.

Langue de l'enseignement

ANGLAIS / ENGLISH

This course introduces the concepts, tools and algorithms used in statistical learning. The main problems typical of statistical learning are presented (supervised learning, classification, regression, clustering, size reduction) as well as the methodologies for controlling the performance of algorithms (cross validation, leave one out etc.) Different algorithms for dealing with these problems are presented in detail as well as the usual python libraries for implementing them.

Langue de l'enseignement

ANGLAIS / ENGLISH

This course explores the three concepts of cloud computing, SDN (Software Defined Networks) and NFV (Network Function Virtualization) through a detailed presentation of their workings, architectures and protocols, as well as their uses in next-generation mobile networks and the handling of some of these technologies through practical work using Mininet.

Langue de l'enseignement

ANGLAIS / ENGLISH

This course presents the fundamentals of cryptology and advanced techniques for protecting data and providing security services. In addition, it deals with the optimization aspects of security solutions for constrained systems.

Langue de l'enseignement

ANGLAIS / ENGLISH

The course presents distributed programming middleware and its limitations, then introduces WS-* Web services (called SOAP services, with WSDL, SOAP and UDDI) and ends with REST Web services.

In tutorials: practical work with Eclipse and Axis for WS-* Web services and JAX-RS with Jersey for REST Web services.

Langue de l'enseignement

ANGLAIS / ENGLISH

The course presents multi-agent systems and some of their applications. Reactive and cognitive agents are introduced, as well as communication, interaction and planning. The tutorials focus on the introduction of a Java-based development framework for multi-agent systems, with various applications.

Langue de l'enseignement

ANGLAIS / ENGLISH

The course introduces the simulation of communication networks, using the Omnet++ simulator. We will define the simulation process (definition of scenarios, input data, parameters, output measurements), the generation of statistically significant simulation data samples, and the analysis and storage of the data. In the application example introduced, we show that the communication network simulator Omnet++ can be coupled with the microscopic traffic simulator SUMO. The result is a simulator of communicating vehicles.

Langue de l'enseignement

ANGLAIS / ENGLISH

This course introduces intelligent systems modelling. It presents the emergence of behaviours and properties, as well as self-adaptation and self-organisation. Lastly, it introduces feedback loop systems.

Langue de l'enseignement

ANGLAIS / ENGLISH

This course introduces intelligent systems modelling. It presents management, control and regulation methods. Specific methods for network management and control with graph algorithms will be presented.

Langue de l'enseignement

ANGLAIS / ENGLISH

This module focuses on communication, writing and methodological aspects in a research or operational context

Langue de l'enseignement

ANGLAIS / ENGLISH

Dependability defines a system’s ability to perform the function(s) for which it was designed. It is based on four main components: reliability, maintainability, availability and security. The increase in security and availability requirements in today's industrial world, coupled with the technological advances of our connected world, have further increased the ability (but also the needs) to master the security of a system, to analyse its reliability and thus optimise its maintainability for maximum availability. After an introduction to the essential theoretical elements of Dependability, this module will focus on different approaches to use feedback data to obtain indicators quantifying the four pillars of Dependability.

Langue de l'enseignement

ANGLAIS / ENGLISH

Maintenance optimisation is a key issue common to all sectors of industry. Companies that master this area stand out significantly from the competition. On the other hand, lack of control over the maintenance process and its factors generally leads to over-maintenance, which is undetectable and extremely costly. Students will therefore first become familiarized with the basic elements of maintenance theory. Afterwards, core but also more advanced concepts of maintenance (such as dynamic bundling of maintenance tasks) will be discussed.

Langue de l'enseignement

ANGLAIS / ENGLISH

Although the maintenance decision is often considered the last link in a system’s monitoring process chain, it is also now often considered a starting point for controlling the lifespan of equipment. This last course in the "Reliability & Maintenance" module will therefore focus on the notions of "prescriptive" and "predictive" maintenance. These two terms, adopted from the world of industry and not strictly originally from the field of maintenance, seek to exploit all information (real-time monitoring, feedback data, expert opinion, etc.) to predict the future behaviour of a system and therefore anticipate the maintenance process as well as the entire logistics chain that results from it. This module will focus on the different approaches to predictive maintenance, prognosis, estimation of residual lifespan, etc.

Langue de l'enseignement

ANGLAIS / ENGLISH

This module focuses on communication, writing and methodological aspects in a research or operational context.

Langue de l'enseignement

ANGLAIS / ENGLISH

This course aims to provide information for understanding the factors involved in the acceptance and usages of digital tools from the perspective of individuals. The module provides knowledge of the theories as well as keys to analysis and interpretation. It also provides guides for the ethical use of algorithms and compliance with the regulations on the collection, storage and use of personal data.

Langue de l'enseignement

ANGLAIS / ENGLISH