el-mi

The course aims to equip students with a solid foundation in database systems, covering essential topics such as relational modeling, relational algebra, conceptual modeling, SQL queries, triggers, views, and database design principles. 

Additionally, the course provides an introductory overview of distributed databases.

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 will explore the business models of software disruptors of the west such as
Apple, Google, Facebook and Amazon, and the east such as Xiaomi and weChat. The
class uses a structured framework for analysing business models with numerous
examples so that students can apply it to their own business or case study.

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 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.

Object Oriented Programming for Master 1 DTI

The course provides to the student a broader view on all relevant aspects of Start-up and Innovation ,  Innovation policy and eco-system and the relationship of these elements to each other . 

Semestre :5
Unité d’enseignement : Fondamentale
Matière : Espaces Vectoriels normés
Crédits :5
Coefficient : 3
Objectifs de l’enseignement :
Apprendre aux étudiants l’importance de l’espace de Banach et la particularité de l’espace Hilbert comme
étant une classe des espaces normés. Faire apparaitre des résultats propres à cet espace.
Connaissances préalables recommandées : Analyse1, analyse2, analyse3, topologie
Contenu de la matière :
Chapitre 1 : Espace de Banach
• Normes, normes équivalentes, espace de Banach
• Propriétés de la norme, ….
• Exemples d’espaces de Banach
• Espaces vectoriels normés de dimension finie
• Applications linéaires continues : Définitions, norme d’une application linéaire continue
• Dual d’un espace vectoriel normé
Chapitre 2 : Espace de Hilbert
• Produit scalaire, espace préhilbertien, espace de Hilbert
• Propriétés du produit scalaire, inégalité de Cauchy-Schwarz, égalité du parallélogramme, ….
• Orthogonalité, théorème de la projection, théorème de Riesz
• Système orthogonal (inégalité de Bessel-Parseval), base
• Systèmes orthonormés
• Séries de Fourier
• Systèmes orthonormés complets dans des espaces concrets

Mode d’évaluation : Examen (60%) , contrôle continu (40%)
Références:
• Brezis H. Analyse Fonctionnelle, Théorie et Applications
• Lacombe G., Massat P. Analyse Fonctionnelle. Exercices corrigés, DUNOT
• Sonntag Y. Topologie et Analyse Fonctionnelle, Cours et exercices, Ellipses, 1997 , Gauthier&Villars

Dans ce module, l'étudiant apprend le concept d'entreprise, en plus des classifications des entreprises et d'un certain nombre de vocabulaire et d'explications qui interviennent dans le même contexte. Il aborde également l'identification de l'environnement économique et ensuite aborde plus en détail les fonctions de l’entreprise et une explication de chaque fonction.

This course introduces essential grammar and vocabulary tailored for students in applied mathematics, statistics, and data science. Through focused language exercises, students will gain foundational skills to comprehend and apply technical English terminology, enhancing their ability to interpret data, understand key statistical methods, and grasp concepts related to their field of study. Additionally, It aims to enhance students' spoken and written English and to achieve proficiency in their communication

This course introduces essential grammar and vocabulary tailored for students in applied mathematics, statistics, and data science. Through focused language exercises, students will gain foundational skills to comprehend and apply technical English terminology, enhancing their ability to interpret data, understand key statistical methods, and grasp concepts related to their field of study. Additionally, It aims to enhance students' spoken and written English and to achieve proficiency in their communication

This course introduces essential grammar and vocabulary tailored for students in applied mathematics, statistics, and data science. Through focused language exercises, students will gain foundational skills to comprehend and apply technical English terminology, enhancing their ability to interpret data, understand key statistical methods, and grasp concepts related to their field of study. Additionally, It aims to enhance students' spoken and written English and to achieve proficiency in their communication

Dans ce module, l'étudiant apprend le concept d'entreprise, en plus des classifications des entreprises et d'un certain nombre de vocabulaire et d'explications qui interviennent dans le même contexte. Il aborde également l'identification de l'environnement économique et ensuite aborde plus en détail les fonctions de l’entreprise et une explication de chaque fonction.

This course provides an in-depth introduction to the use of spatial statistics and Geographic Information Systems (GIS) for analyzing spatial data.
Students will explore methods for studying local phenomena around point sources, conducting geographical correlation studies, and understanding the strengths and limitations of spatial analyses.

The course also covers the structure and uses of GIS, including basic definitions, essential elements for GIS implementation, rules for cartographic representation, and methods for analyzing spatial relationships.

Emphasis is placed on applying GIS in epidemiological studies, using spatial statistical methods such as cluster detection, global clustering, disease mapping, and regression models to understand spatial patterns and support decision-making in real-world contexts.

This course introduces essential grammar and vocabulary tailored for students in applied mathematics, statistics, and data science. Through focused language exercises, students will gain foundational skills to comprehend and apply technical English terminology, enhancing their ability to interpret data, understand key statistical methods, and grasp concepts related to their field of study. Additionally, It aims to enhance students' spoken and written English and to achieve proficiency in their communication

Dans ce module, l'étudiant est initié à une introduction générale à l'économie et à certains concepts qui y sont liés, tels que la demande et l'offre, le problème économique, les marchés... , en plus de connaître le concept de l'entreprise et ses classifications. , et abordant également ses fonctions, en plus d'une introduction à l'analyse microéconomique, et abordant également plusieurs concepts à travers cela, comme la flexibilité ( élasticité ) et bien d'autres concepts dans le même contexte .

Dans ce cour , l'étudiant apprend les concepts de base de l’assurance par example :L’histoire de l’assurance , la définition d'assurance et le contrat d’assurance et les concepts de base de ces deux termes