I also give private lessons to college and high school students. I adapt my lessons according to the needs and level of each student. I can follow the school or university program, or go beyond if necessary. My teaching method favors a classic approach: 1) Thorough understanding of the subject and its importance in the field of study or in daily life. 2) Illustration by concrete examples. 3) Realization of practical exercises to properly assimilate and finally master the subject. I consider comprehension and logical reasoning as essential elements. I accompany the student in his progress and encourage him to work outside of class hours if it suits him.

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---

Online Course: Algebra Exam Preparation for Secondary School Duration : - 60 minutes: intensive format to review key concepts and solve targeted exercises. - 90 minutes: In-depth format to cover more topics, solve complex problems, and include detailed Q&A sessions. General description This course is designed for high school students who want to strengthen their algebra skills and prepare effectively for their exams. It is designed to clarify fundamental concepts, fill in any gaps, and help master the solving techniques needed to succeed. Through simplified explanations, concrete examples, and varied exercises, students will gain confidence and improve their mathematics results. --- Educational objectives At the end of this course, students will be able to: 1. Understand the basic principles of algebra, including equations, inequalities, and functions. 2. Apply the properties of numbers and algebraic expressions to simplify and solve problems. 3. Solve systems of linear equations and work with graphs of functions. 4. Approach exam exercises and problems methodically and effectively. --- Course syllabus 1. Introduction (5-10 min) - Identification of the student's specific needs and objectives. - Presentation of key topics to be covered during the session. 2. Review of fundamental concepts (20-30 min) - The basics: properties of numbers, manipulation of algebraic expressions. - Solving linear equations and inequalities. - Functions: definition, graphic representation, and analysis. - Bonus for the 90 min format: Introduction to systems of equations and polynomials. 3. Practical exercises and examination methods (30-40 min) - Guided resolution of typical problems encountered in exams. - Tips to avoid common mistakes and save time. - Simulation of an exam question with correction and analysis. 4. Q&A and conclusion (5-10 min) - Review of concepts learned and clarification of points that remained unclear. - Recommendations for reviewing and progressing independently. - Feedback on the session and planning of subsequent courses if necessary. --- Teaching methodology - Personalized teaching: the course is adapted to the specific needs of each student, taking into account their level and objectives. - Practical approach: particular attention is paid to solving exercises to develop skills that can be applied immediately in the exam. - Clear explanations: concrete examples and detailed steps facilitate understanding and assimilation. --- Target audience This course is ideal for: - High school students preparing for exams or tests in algebra. - Those having difficulty with specific concepts or wishing to strengthen their understanding. - Parents looking for personalized support to ensure their child's academic success. --- Benefits of this online course - Learning made easier thanks to individual support. - Use of interactive tools to make mathematics accessible and stimulating. - Exercises inspired by exam questions for realistic and effective preparation. - Flexible schedules and course options adapted to the student's pace. Gain confidence in your algebra skills and prepare for your exams with complete peace of mind! ---

Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---