The use of calculation software has become absolutely essential in the scientific field since the 1970s, both for technicians, engineers, and researchers.
This course introduces you to a calculation software called Matlab, which is one of the most popular choices for quantitative analysis in fields such as engineering, statistics, economics, and artificial intelligence, to name just a few.
Matlab was developed by the MathWorks company. MATLAB (MATrix LABoratory) is an interactive programming environment for scientific computation, programming, and data visualization. Free alternatives exist, such as Scilab or Octave.
For numerical computation, Matlab is much more concise than older languages like C, Pascal, Fortran, or Basic. For example, there's no need to program loops to individually modify elements of a matrix. The matrix can be treated as a simple variable. Matlab also includes a powerful graphical interface and a wide variety of scientific algorithms.
This course material is intended for first-year students in the common foundational mathematics and computer science program. The main objective of this course is to provide the most relevant basic concepts to master the Matlab calculation software.
- Teacher: nour el houda golea
- Teacher: lahcene guezouli
This introductory course on probability and descriptive statistics aims to provide a comprehensive understanding of these crucial areas of mathematics and data analysis. Beginning with the first chapter, we will delve into the essential concepts of descriptive statistics, precisely defining the terms and fundamental notions that will serve as the foundation for our learning journey.
In the second chapter, we will explore the realm of numerical representation of data. We will discover various techniques and tools for effectively summarizing complex datasets, thereby facilitating their analysis and interpretation.
The third chapter will involve an in-depth exploration of the key statistics used in practice. We will examine central measures, data dispersion, and other key indicators in detail, enabling us to better understand and characterize datasets.
Lastly, in the fourth chapter, we will tackle probability calculations, a crucial area for modeling and prediction in various contexts. We will explore basic probability concepts, as well as methods and techniques used to compute and interpret probabilities in different scenarios.
This course will provide a rich and comprehensive learning experience, empowering students to develop a solid understanding of probability and descriptive statistics, along with practical skills to apply them across various fields of application.
- Teacher: Sofiane Madi
Information and communication technologies (ICT), which mainly concern the academic world and the field of telematics, are IT, audiovisual, multimedia, Internet and telecommunications techniques which allow users to communicate, access sources of information, store, manipulate, produce and transmit information information in different forms. These forms are: text, music, sound, image, video and interactive graphical interface (IHM).
- Teacher: kais yahiaoui