http://hdl.handle.net/STDB_UNAM/260 Wed, 24 Jun 2026 01:19:15 GMT 2026-06-24T01:19:15Z http://hdl.handle.net/STDB_UNAM/716 Course Handout Power Electronics Tahour, Ahmed Power electronics is a fundamental discipline of electrical engineering concerned with the static conversion of electrical energy using semiconductor components operating in switching mode. It enables the efficient adaptation of the voltage, current, frequency, or waveform of a power source to the requirements of a load or system. The main conversion structures include rectifiers (ACDC), inverters (DC-AC), choppers (DC-DC), and matrix converters (AC-AC). Power electronics relies on a close interaction between three fields: electrical engineering, electronics, and automation. Thanks to its performance in terms of energy efficiency, compactness, and flexibility, it is now ubiquitous in industrial systems, smart grids, electric transportation, renewable energy installations, and household appliances. Its ongoing development is also driven by advances in semiconductor materials and advanced control techniques, thus actively contributing to the challenges of energy transition and energy efficiency. This handout is intended for fourth-year engineering students in electrical engineering, automation, and electronics, and follows the official curriculum outlined by the Ministry of Higher Education and Scientific Research. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/716 2026-01-01T00:00:00Z http://hdl.handle.net/STDB_UNAM/715 Technical drawing Handout of application exercises Benhadji Serradj, Nasr-Eddine Currently, students in technological fields and engineering students are regularly faced with modeling for simulation purposes as well as the design of parts and assemblies throughout their academic journey. A strong command of technical drawing is therefore a key asset to facilitate these modeling and design activities. This document, dedicated to technical drawing application exercises, is intended for students in higher education institutions specializing in applied sciences and technological disciplines. It compiles a series of exercises given to students between 2015 and 2025, used in practical workshops, supervised assignments, and examination assessments. The entire content has been developed in accordance with the official curriculum. The aim is to help students develop a rigorous approach to solving application exercises and to strengthen their spatial visualization skills in relation to different types of graphic representations—such as fittings, orthographic projection, perspective views, sections and cross-sections, as well as dimensional dimensioning. It also contributes to improving the analysis of assembly drawings while adhering to fundamental rules, conventions, and drafting standards, in order to ensure effective reading and understanding of detail and assembly drawings. For preparatory classes, assembly drawings will be used as an educational tool for learning the study of assembly drawings. Subsequently, a part will be selected to produce its detailed drawing. Students working with SolidWorks will then be able to model the devices in 3D, carry out their assembly, and generate their technical drawings. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/715 2026-01-01T00:00:00Z http://hdl.handle.net/STDB_UNAM/714 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. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/714 2026-01-01T00:00:00Z http://hdl.handle.net/STDB_UNAM/713 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. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/713 2026-01-01T00:00:00Z