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Electric charges are present everywhere around us, especially in electronic devices such as mobile phones and computers... whether they are on or off.
The objective of teaching the content of this course is to identify the effects of the presence of electric charges in the materials around us, whether these charges are at rest or in motion.
At the end of this course, the student will have acquired basic knowledge of electricity and magnetism (he must be able to identify and calculate the type of forces acting between different electric charges present in a given space, calculate the static and magnetic electric fields resulting from these charges at a given point, know the resulting potential of a charge or a set of charges at a given point, calculate the currents and voltage in a given electrical circuit, simplify complex electrical circuits, etc.) in order to be able to analyze and interpret existing phenomena related to the presence of electric charges, whether they are at rest or in motion.
This course provides an introduction to the fundamental concepts of descriptive statistics and probability theory, which form the basis for data analysis and decision-making in various fields such as mathematics, engineering, economics, data science, and computer science. The course emphasizes both theoretical understanding and practical applications to real-world problems.
Targeted skills:
- develop the ability to summarize.
- visualize, and interpret data.
- understand probability principles that underpin statistical reasoning.
- Présentation du module :
Public : étudiants de première année MI |
Année universitaire 2024/2025 |
Semestre |
02 |
Unité d’enseignement FONDAMENTALE |
UEF22 |
Matière |
Structure Machine : 2 |
Crédits : 4 |
Chargé de la matière : |
Coefficient : 2 |
Chargé de cours : R.CHOUCHANE |
Volume horaire : |
Cours : 1heure et demi par semaine TD : 1heure et demi par semaine |
Le module est proposé sous forme d’une séance de cours et d’une séance de travaux dirigés par semaine durant un semestre.