el-mi

This course provides a comprehensive set of topics and lessons for students between A2 and B1 levels, with a focus on communication in daily life. Each lesson includes structured activities that integrate speaking, listening, and grammar practice to help students improve their English fluency in a variety of everyday situations

This course aims to develop the behavioral and interpersonal competencies that are essential for engineering students in both academic and professional environments. Through a combination of short theoretical inputs, practical exercises, and real-world simulations, students will learn how to communicate effectively, collaborate in teams, solve problems critically, present technical ideas persuasively, and demonstrate soft skills in recruitment and career contexts. At the end of the course, students are expected to understand the relevance of soft skills in engineering careers and to apply them confidently in real situations.

This course introduces students to the principles of modeling computer networking behaviors to evaluate their performance. It concentrates on the queuing theory and probabilistic models, especially Markov chains, to be exploited in the modeling process. At the end of this course, students will be able to manipulate probabilistic models and Markov chains for evaluating computer network performances.

L’objectif de ce cours est :

- de donner un aperçu sur les méthodes de la Recherche Scientifique,

- d'initier les étudiants aux normes de rédaction de mémoire et

- comment préparer et soutenir son travail de Master.

Il comporte deux parties :

Partie 1 : Méthodes de la Recherche Scientifique 

Partie 2 : Rédaction de Mémoire & Soutenance Orale

Permettre aux étudiants de s’initier aux principales méthodes de recherche, de mener correctement un projet de recherche, et de savoir communiquer les résultats de la recherche.

students are expected to gain comprehensive knowledge and practical skills in several key areas. Firstly, they will learn the fundamentals of cloud computing, service models and deployment models. The course will delve into virtualization technologies, which are the backbone of cloud services, explaining how they enable the efficient use and allocation of computing resources. A significant focus will be on OpenStack, an open-source platform for cloud computing.

English course

This course introduces students to the main concepts and tools of Business Intelligence (BI). It covers the full BI process; from data integration using ETL and data warehousing to multidimensional databases, reporting, and data mining. Students will explore how BI supports strategic decision-making and business performance through practical examples such as customer relationship management (CRM). #Basic knowledge of information systems and databases is recommended.

Ce cours d'introduction au Big Data permet d'aborder d'un point de vue pratique
l'utilisation d'une architecture BigData pour réaliser des analyses de données.

This course is for DTI M2

This course allows students to acquire knowledge about : 

1. The link between the leader’s behavior and team performance.
2.  Finding new ways to measure and manage performance.
3.  Unique techniques to truly tap into motivation.
4. Harnessing the dynamics of the team through personality profiling.
5. Optimising team flexibility and commitment using advanced coaching skills.

The course Industry 4.0 provides students with a comprehensive understanding of the technological advancements driving the fourth industrial revolution. It explores how digital transformation is reshaping industrial production, supply chains, and business models. Students will learn about the integration of smart technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, and Cloud Computing, into manufacturing processes to enhance efficiency, flexibility, and innovation.