http://hdl.handle.net/STDB_UNAM/261 2026-06-13T01:40:34Z 2026-06-13T01:40:34Z KADA KLOUCHA, Meryem http://hdl.handle.net/STDB_UNAM/714 2026-06-07T13:40:22Z 2026-01-01T00:00:00Z

Descriptive Statistics KADA KLOUCHA, Meryem This course is designed for the first-year preparatory students of the ESSAT School. It provides a comprehensive introduction to Descriptive Statistics, Bivariate Statistics, and Combinatorial Analysis. In the first part, we review the fundamental concepts of Descriptive Statistics: types of variables, organization and representation of data, numerical measures such as mean, median, mode, and dispersion. We also introduce graphical representations and cumulative distributions to help students describe and interpret datasets. In the second part, we extend the study to Bivariate Descriptive Statistics. Here, we learn how to organize and represent data involving two variables, study their possible dependence or independence, and analyze their relationship. We introduce the linear correlation coencient, the regression line, and we also consider nonlinear relationships through exponential and power functions. The main objective is to understand how to study the relation between two variables and how to predict the value of one variable given the value of the other. In the final part, we present the basics of Combinatorial Analysis: rules of counting, permutations, arrangements, and combinations. These concepts prepare students to approach probability and advanced topics in Statistics with confidence. Overall, the purpose of this course is to give students the necessary tools to summarize data effectively, to analyze the dependence between two variables, and to master essential counting techniques that are the foundation of probability theory.

2026-01-01T00:00:00Z Kouloughli, Imane http://hdl.handle.net/STDB_UNAM/713 2026-06-07T12:06:39Z 2026-01-01T00:00:00Z

Industrial Information Systems Kouloughli, Imane This course handout is intended for students in the second cycle, Industrial Engineering specialization. It is part of the course titled "Industrial Information Systems", a foundational subject for understanding the challenges related to the management, control, and digital transformation of modern production systems. The course is organized into three main chapters. The first introduces the general concepts of information systems, explaining their role, components, and growing importance in industrial organizations. The second chapter focuses on ERP (Enterprise Resource Planning) systems, with particular emphasis on Odoo, an open-source software increasingly used in industry for business process integration. The third chapter covers the principles of modeling with UML (Unified Modeling Language), a key tool for designing and representing information systems. The aim of this handout is to provide students with both the theoretical foundation and practical tools needed to understand, analyze, and model information systems in an industrial context. It also seeks to raise awareness of the challenges of Industry 4.0, where information is a strategic driver of performance and innovation. I hope this material will support your learning journey and spark your interest in this discipline at the heart of industrial digitalization.

2026-01-01T00:00:00Z BENHABIB-SOULIMANE, Nouzha Yasmina http://hdl.handle.net/STDB_UNAM/712 2026-06-01T13:33:15Z 2025-01-01T00:00:00Z

English for Industrial Engineering BENHABIB-SOULIMANE, Nouzha Yasmina Industrial engineering has long been at the forefront of optimizing processes, improving efficiency, and integrating systems across a wide array of industries. In today's rapidly evolving world, where the balance between productivity, sustainability, and innovation is more critical than ever, industrial engineering plays a pivotal role in shaping the future of manufacturing, logistics, healthcare, and beyond. This handbook is designed to serve as a comprehensive guide for both students and professionals in the field. It offers a deep dive into the core principles of industrial engineering, blending theory with practical applications. From lean manufacturing and supply chain optimization to ergonomics and quality control, the topics covered reflect the diversity and interdisciplinary nature of the field. The intention of this handbook is not only to equip readers with the technical skills required for excellence but also to inspire a mindset of continuous improvement. As you navigate through the pages, you will find tools, methodologies, and real-world case studies that illustrate how industrial engineering is applied to solve complex problems and drive progress. I hope this handbook becomes a valuable resource for your journey, whether you are stepping into the world of industrial engineering for the first time or looking to refine your existing expertise. It serves as a reminder of the immense potential of industrial engineering to create smarter, more efficient, and sustainable systems that will meet the demands of an everchanging global landscape. Objectives While engineering studies focus primarily on logical activities and therefore on students' intellectual performance, the success of an engineer’s career is equally dependent on the professional’s “social” skills. More commonly known as Soft Skills, these competencies are not only innate; they can be analyzed, taught, and improved. We offer students the opportunity to explore and implement techniques to improve some of these skills: teamwork, leadership, creativity, and decision-making. To prepare students for interview simulations focusing exclusively on these skills, we use various teaching methods, ranging from traditional listening and reading comprehension exercises to flipped classrooms and peer assessment.

2025-01-01T00:00:00Z Benhabib-Soulimane, Nouzha Yasmina http://hdl.handle.net/STDB_UNAM/711 2026-06-01T13:23:31Z 2024-01-01T00:00:00Z

English for Electrical Engineering Benhabib-Soulimane, Nouzha Yasmina ESP has become one of the most significant fields in higher education. As a matter of fact, English is learnt for many reasons which are due to a large variety of professions which request the use of ESP. The need to use English for specific purposes specialities has many characteristics. One of the reasons for learning English is for science and technology, therefore, ESP can be subdivided into two fundamentals sorts of ESP differentiated according to learners’ need. It means that ESP is divided into Academic study or for occupational purposes. As the Higher School of Applied Sciences comprises different branches of engineering more precisely Electrical Engineering; it is necessary to clarify and shed light on our English lectures. Therefore, we will explain and detail our lectures in the following handout. Understanding and mastering ESP is crucial for students in electrical engineering to excel academically and professionally. This handout outlines the structure and objectives of our English lectures, aimed at equipping students with the necessary language skills to thrive in their specific field. By focusing on technical vocabulary, reading comprehension, writing, and oral communication, we prepare our students to meet the demands of their profession and contribute effectively to the global scientific community. The present handout of Electrical Engineering module is composed of five units which are as follows: Unit One: Introduction to electrical Engineering Unit Two: Renewable Energies Unit Three: Electricity and Electronics Unit Four: Charts/ Writing a CV and Formal E-MAIL

2024-01-01T00:00:00Z