USDB 1: All courses

Introduction to Artificial Intelligence/مقدمة في الذكاء الاصطناعي

Course description, according to the outline.

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This module aims to demystify AI, stimulate curiosity, and introduce its practical and specific applications within an academic setting. It seeks to offer an accessible, concrete, and engaging introduction to AI by combining theoretical input with hands-on activities geared towards academic uses. By the end of the course, students will be able to

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تهدف هذه الوحدة إلى تبسيط مفهوم الذكاء الاصطناعي، وإثارة الفضول، وعرض تطبيقاته العملية والمحددة في بيئة أكاديمية. وتسعى إلى تقديم مدخل سهل الفهم وملموس وجذاب للذكاء الاصطناعي من خلال الجمع بين المدخلات النظرية والأنشطة العملية الموجهة نحو الاستخدامات الأكاديمية. بنهاية الدورة، سيتمكن الطلاب

Ce module a pour vocation de démystifier l’IA, stimuler la curiosité et initier à son utilisation concrète et propre dans un cadre académique. Il vise à offrir une découverte accessible, concrète et stimulante de l’IA, en combinant des apports théoriques et des activités pratiques orientées vers les usages académiques. À la fin du cours, l’étudiant sera capable de .

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Information about the license for the animated image (gif), from the homepage of this course.

https://www.flaticon.com/free-animated-icon/coding_10971760

Teacher: Abdelli Mohamed

I) Presentatation of the module

Analysis 2 is the module of Analyse of the second semester which contains three important courses: Taylor expansions, primitives and integrals and differential equations.

II) This module is intended to the first class LMD mathematics students

Chapter 1: Taylor or finite expansions

Chapter 2: Primitives and integrals

Chapter 3: Differential equations.

III) Objectives

The main objective of the module of Analysis 2 is:

1. To enable students to further develop essential analytical skills,

2. To acquire rigorous reasoning in problem analysis.

3. To select an appropriate analytical tools for problem solving, and mastery of techniques in integral calculus.

Teacher: Mimouni Malika

PHYSIQUE 2 (2026) - Espace interactif

Teacher: arbouz hayat

This course covers the basics of electrostatics and electrokinetics, providing a springboard for a fuller understanding of the concepts of magnetism and electromagnetism due to charges moving at variable speeds.

Teacher: arbouz hayat

Introduction aux probabilités et statistique descriptive

This course is intended for first-year students majoring in Mathematics (MI). It covers the educational program of the module "Introduction to Probability and Descriptive Statistics." It can be helpful for anyone wishing to learn fundamental concepts and techniques in this field.

The course is organized into two chapters covering different aspects of descriptive statistics:

1.1 Basic concepts and definitions used in the field of descriptive statistics;

2 Basic tools of descriptive statistics (statistical tables and graphical representations);

2. Measures of central tendency and measures of dispersion.

The third chapter is based on combinatorial analysis and an introduction to probability calculations.