Développement d’interface utilisateur en Java pour la plateforme Android

Introduction des bases de la programmation en Java EE. Les notions principales présentés sont : Persistence (ORM, notion de data source), injection de dépendances, EJB, configuration d'un conteneur, servlet, services REST, frameworks MVC. Les étudiants travaillent sur des TP pour chaque notion et ensuite ils préparent un projet.

Our English courses are designed to improve your everyday English and help you gain real language skills, which are useful in everyday and professional life. Classes are interactive, challenging and with specific goals that help you move toward your goals. Your teacher gives you structured tasks, tracks your progress, and gives you tips that help you express yourself more easily in English and feel more confident about yourself.

Le DevOps est une évolution majeure dans le monde du développement, nous nous focaliserons sur l'intégration / le déploiement / la supervision / la mesure en continu afin de réduire les cycles de feeback. La culture DevOps consiste à accroitre la collaboration (lean / agile) entre le milieu du développement et des opérations, en passant par des outils d'automatisation permettant d'exploiter une infrastructure

Functional programming progressively moves from being a manly academic subject to being a viable alternative to the long-lived, widespread and well established paradigms used in the industry. This course covers the main concepts of the functional paradigm (functions, referential transparency, typeclasses etc.). It will do so using the Scala programming language which is widely used in the industry, especially within the BigData community. The tools and techniques covered in the course will be hands-on and illustrated with code examples.

This course presents the main concepts of cloud computing (IaaS, PaaS, SaaS; public, private and hybrid cloud) and of distributed computation. We will consider the design of algorithms for the MapReduce framework (map, shuffle, reduce) over relational and graph data. Understanding the main abstractions and components of the Apache Spark framework (Spark Core, SparkSQL, GraphX)

This course focuses on the data models, query processing approaches, data and processing distribution, fault tolerance and concurrency control methods of the database management systems used in the context of Big data. Systems belonging to the NoSQL and newSQL categories will be studied.

This course concerns the knowledge representation branch of artificial intelligence. We will study the main reasoning methods pertaining to logic-based approaches (first order logic and description logics). In the context of the W3C Semantic Web recommandations, you will learn about ontology design; storing, querying and reasoning over knowledge graphs.

This course complements the ‘Big data database systems’ and ‘Cloud computing et calcul distribué avec le framework MapReduce’ by considering the main concepts of stream processing: batch vs stream processing, stream processing engine, window-based querying, fault tolerance, impact of pub-sub systems in such architectures. It also covers aspects concerning the automatization of deployment, scalability and containerization of applications presents concepts.

This unit of values is an introduction to the concepts, tools and algorithms used in data-science. The main problems of statistical learning are introduced (supervised learning, classification, regression, clustering, dimension reduction) as well as methodologies to control the performance of algorithms (cross validation, leave one out, ...). Different algorithms for dealing with these problems (K-means, CAH, ACP, SVM, Decision Tree, ...) are presented in detail as well as the usual python libraries to implement them. The unit of value is indeed a large place to practice through TP in Python and a project.

The internship in a company is a training mode where the student combines the theoretical knowledge gained practical experience in the workplace. He thus prepares, in a gradual way, to exercise the professional activity for which he is destined.

Ce module s'intéresse aux aspects de communication, de rédaction et de méthodologie dans un contexte de recherche ou opérationnel

Ce cours présente les principes de développement d'applications concurrentes temps réel avec la spécification pour Java Temps Réel (RTSJ). On y décrit: les caractéristiques des threads temps réel et des modèles de trafic. L'ordonnancement, l'analyse de faisabilité et la détection de surcharge. La gestion des évènements asynchrones et le ttraitement des tâches apériodiques.