Aperçu des sections

  • Introduction

    • Introduction Forum

      Abdelhafid Boussouf University of Mila

      Faculty of Mathematics an Computer Science

      • Field: Mathematics and Computer Science.
      • Teaching unit: Methodological;
      • Subject: Programming tools II.
      • Level: 2nd year mathematics and applied mathematics 
      • Semester: 3, Academic year: 2025/2026
      • Credit: 3, Coefficient: 1
      • Weekly Hourly Volume: 3h
      1.  Lecture (1 hour 30 minutes)-
      2.  Practical work (1 hour 30 minutes)
      • Language of instruction: English
      • Teacher responsible for the subject: Dr. Messaoud BERKAL
      • Emails: berkalmessaoud@gmail.com, or m.berkal@centre-univ-mila.dz.
      • Goals: This course is intended for second-year undergraduate students and is part of the methodological teaching unit. Its primary objective is to introduce students to the fundamental concepts of the MATLAB and SCILAB programming languages, enabling them to rapidly develop autonomy in using these software tools. Through this course, students will be able to:

      1. Understand the basic structure and syntax of MATLAB and SCILAB programs;
      2. Perform numerical computations and data analysis efficiently;
      3. Create and manipulate vectors, matrices, and arrays;
      4. Develop scripts and functions for solving mathematical and engineering problems;
      5. Visualize data using appropriate graphical tools;
      The course is divided into seven chapters:

      1. Chapter 1: General and getting started
      2. Chapter 2: Vectors
      3. Chapter 3: Matrices
      4. Chapter 4: Programming in Matlab Chapter 
      5. Chapter 5: Polynomials and functions in MATLAB
      6. Chapter 6: Graphical representation in Matlab
      • Bibliography:

      [1] H. Moore, MATLAB for Engineers. A practical approach for learning MATLAB, focused on

      applications relevant to engineering and mathematics.

      [2] S. Attaway, MATLAB: A Practical Introduction to Programming and Problem Solving. A

      beginner-friendly book introducing MATLAB programming and problem-solving techniques.

      [3] V. Cheng, MATLAB for Data Analysis. Focuses on MATLAB for data analysis, visualization,

      and numerical computing for mathematicians.

      [4] J. Sizemore and J. P. Mueller, MATLAB for Dummies. An accessible guide to learning MATLAB,

      covering basics to advanced topics.

      [5] A. Gilat, MATLAB: An Introduction with Applications. A comprehensive introduction with

      applications in engineering, science, mathematics, and economics.

      [6] R. S. S. P. Vishnu, MATLAB for Engineers and Scientists. A practical guide for engineers and

      scientists using MATLAB-based solutions for real-world problems.

      [7] J. Boyd, MATLAB for Machine Learning. A specialized book applying machine learning

      algorithms and concepts using MATLAB.

      • Evaluation mode

            Continuous evaluation: 40%,   Final exam: 60%.



  • Part I: Introduction to the Matlab environment (Chapter 1, Chapter 2)

    This part introduces the programming environment in MATLAB and presents the fundamental concepts that students need to master. It covers essential topics such as variables, numerical operations, built-in functions, core commands, and other key features necessary for effective MATLAB programming.

  • Part II: Vectors and Matrices (Chapter 2, Chapter 3))

    MATLAB was originally designed to enable mathematicians, scientists, and engineers to work easily with the tools of linear algebra. For this reason, we begin by introducing vectors, followed by matrices, which are both intuitive and highly convenient to manipulate in MATLAB.

  • Part III: Introduction to programming with Matlab (Chapters 5, 6)

    So far we have seen how to use MATLAB to perform commands or to evaluate expressions by writing them in the command line (After the >> prompt), therefore the commands used are generally written as a single instruction (possibly on a single line). However, there are problems whose solution description requires several instructions, which requires the use of several lines.

    For example, searching for the roots of a quadratic equation (taking into account all possible cases). A collection of well-structured instructions aimed at solving a given problem is called a program. In this part of the course, we will present the mechanisms for writing and executing programs in MATLAB.

  • Part IV: Graphical representation in Matlab (Chapter 7)

    In addition to enabling high-level numerical computations, MATLAB can also generate powerful and visually impressive 2D and 3D graphics. To gain a brief overview of MATLAB’s graphical capabilities, users can explore the built-in graphics demonstrations. In this part of the course, we present the fundamental principles required for plotting and visualizing curves in MATLAB.