Aperçu des semaines
Contact Information
- Instructor: Dr. Zineb BOUDEBANE
Faculty of mathematics and computer sciences
Department of Mathematics
- Availability (Faculty Lounge):
- Sunday: 11:00 AM – 12:30 PM
- Thursday: 9:30 AM – 11:00 AM
- Instructor: Dr. Zineb BOUDEBANE
Course Description
University of Abd-El hafid Boussouf -Mila· 
Faculty: Science and Technology·
Department: Natural and Life Sciences· -
Target Audience: First-year NLS Students·
- Course Title: Statistics Mathematics ·
- Credits: 04·
- Coefficient: 02·
- Duration: 15 weeks·
-
Schedule: Sunday: 12:30–14:00 , Thursday: 08:00–09:30
- · Room: Lecture Hall 11, Sector 4.
Assessment methods
The final grade is determined through two main components:
- Final Examination (60%)
- Continuous Assessment (40%)
-
Target Audience: First-year NLS Students·
Course Plan
This course is divided into four learning units (chapters):
Chapter 1: Real Functions of One
Variable
Chapter 2: Multivariable Functions
Chapter 3: Numerical Series
Chapter 4: Descriptive Statistics
For more details on the program and the content of the 4 chapters, please consult the following PDF file:- Cette semaine
Course Objectives
At the end of this course, the learner will be able to :
- Identify the basic concepts related to real functions of a real variable .
- Distinguish between real functions of one variable and several variables.
- Test the nature of numerical series.
- Analyze the statistical data.
- Reorganize data into parameters and indicators.
Pre-requisites
To successfully complete this course, you must first have:
- Basic concepts related to functions.
- Some differentiation rules .
- Knowledge of some types and properties of numerical sequences
- A general overview of statistical variable
Chapter 01: Numerical Series
🎯 Chapter Objectives:
By the end of this chapter , the student will be able to
- Identify real series and their general form.
- Explain the algebraic operations on numerical series.
- Choose the appropriate comparison test for a given series.
- Apply convergences tests, Riemann , d'Alembert , and Cauchy
Ressources of Chapter 01
Feel free to ask any questions or share your comments here regarding the content or any concepts you didn't understand from the first chapter!
📊Chapter 2: Descriptive Statistics
🎯 Chapter Objectives:
By the end of this chapter , the student will be able to
- Define the basic concepts of descriptive statistics : population, modality, variable,......
- Classify variables into quantitative and qualitative types
- Illustrate observed data using appropriate statistical tables.
- Calculate parameters of position and Dispersion .
Ressources of Chapter 02
Feel free to ask any questions or share your comments here regarding the content or any concepts you didn't understand from the first chapter!
Bibliography
Bouyer, J. (2000). Méthodes statistiques : médecine-biologie. Éditions Estem.
Genet, J. et Pupion, G. (1974). Analyse moderne, tome 2. Vuibert, Paris.
Malacrida, S. (2022). Exercises of numerical series. Simone Malacrida.
Stoltz, G. et Rivoirard, V. (2012). Statistique mathématique en action. Vuibert, Paris, 448 p.
https://www.academia.edu/31904502/Cours_de_Statistique_Descriptive
