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Personalized tutoring for learning how to write code and program using the Python computer language.
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Personalized Tutoring for Learning Coding and Programming in PythonThis online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence.
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Why choose this program?
- Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session.
- Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts.
- Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule.
- Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge.
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Course content:
Beginner level:
1. Introduction to Python:
- Basic syntax, data types (integers, strings, lists, dictionaries, etc.).
- Control structures: conditions (if, else), loops (for, while).
- Functions and arguments: creation and use of functions.
2. Object-oriented programming (OOP):
- Introduction to OOP: classes, objects, attributes and methods.
- Encapsulation, inheritance, polymorphism and abstraction.
- Implementation of OOP in simple projects.
3. Introduction to file management:
- Reading and writing text and CSV files.
- Data manipulation for real applications.
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Intermediate level:
1. Advanced data structures:
- Advanced lists, stacks, queues and dictionaries.
- Algorithm concepts: sorting, searching, algorithmic complexity.
- Use of Python libraries: NumPy, Pandas for data manipulation.
2. Error and exception handling:
- Introduction to exceptions and error handling in Python.
- Creation of custom error messages and handling of common exceptions.
3. Practical projects:
- Development of medium-sized projects, such as simple games or data management applications.
- Solving real-world problems, such as analyzing data from external files.
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Advanced level:
1. Advanced Libraries and Practical Applications:
- Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn).
- Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn.
- Implementation of complex projects using data analysis and visualization tools.
2. Code optimization:
- Techniques to improve the performance of Python code.
- Memory management and algorithm optimization.
3. Advanced projects:
- Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools.
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Course schedule:
- 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner.
- 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises.
- 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts.
Each session includes:
1. Theoretical introduction: Quick review of key concepts or introduction to new topics.
2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning.
3. Projects: Construction of real projects to put into practice the knowledge acquired.
4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session.
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Resources and tools provided:
- Teaching materials: Detailed course documents, practical exercises, projects to complete.
- Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools.
- Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring.
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About the trainer:
A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language.
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Book your course now!
If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!
Extra information
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I offer interactive online courses, designed around audio and screen sharing for a practical and user-friendly approach.Location
Online via webcam
At teacher's location: Paris, France
At teacher's location: Bruxelles, Belgium
At teacher's location: Geneva, Switzerland
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Use ⊞+wheel to zoom!
General info
Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 60 minutes 90 minutes 120 minutes |
The class is taught in: | French, English |
About Me
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I am a passionate and dedicated teacher with a strong background in mathematics, physics and computer science. I hold advanced degrees in these fields, and my enthusiasm for these subjects has been a driving force throughout my academic and professional career.Teaching philosophy:
- Conceptual Clarity: My primary goal is to ensure that my students deeply understand the key concepts of mathematics, physics, and computer science. I believe that when students grasp the fundamentals, they are better equipped to solve complex problems and excel in their studies.
- Hands-on learning: I believe in the importance of real-world application. In my classes, students don’t just learn theories; they actively participate in hands-on projects and experiments. Whether it’s solving math problems, performing physics experiments, or writing code, I encourage my students to apply their knowledge in real-world scenarios.
- Adaptive Teaching: Every student has a unique learning style and pace. I am flexible and strive to adapt my teaching methods to meet the individual needs of each student. Whether it is for additional support or for more advanced challenges, I am here to support their growth.
Profile and Courses:
My profile is carefully designed to give students a clear vision of what they can expect from my courses:
- Detailed Lesson Plans: I provide comprehensive lesson plans for each of my courses, detailing the topics covered, learning objectives, and resources needed.
- Teaching Resources: I provide a variety of resources, such as lecture notes, presentations, additional readings, and practice exercises to help students reinforce their learning.
- Availability hours: I make myself available to my students outside of class hours. I publish my availability hours and remain open to exchanges by email or to making individual appointments to answer their questions.
- Engagement opportunities: I encourage students to actively participate in class discussions, ask questions, and collaborate with their peers. I may also organize workshops, group projects, or extracurricular activities related to the subjects I teach.
In conclusion, I am a passionate and deeply committed teacher, convinced that it is essential to cultivate a deep understanding of mathematics, physics and computer science. My goal is to provide my students with an enriching learning experience, maintaining a detailed profile and offering a range of resources to support their academic journey. Please do not hesitate to contact me if you have any questions or need more information about my courses and my teaching method.
Education
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I am a dedicated and diligent learner, deeply committed to my personal and academic development. My educational journey is a testament to my passion for acquiring knowledge and developing a well-rounded skill set.Formal education:
I pursued my studies in the scientific field and hold a PhD in Mathematics and Computer Science. Throughout my academic career, I not only focused on mastering the fundamental concepts of my discipline, but I also participated in various research projects and took courses that allowed me to gain practical experience and a deep understanding of the subject.
Continuing education:
My commitment to learning extends beyond formal education. I actively seek out continuing education opportunities, such as workshops, seminars, and online courses. I strongly believe that staying up to date with the latest technological and scientific developments is essential for my personal and professional growth.
Skills development:
In addition to my academic studies, I spent time developing practical skills. I honed my programming and data analysis skills through hands-on projects and real-world applications. This hands-on approach to learning allowed me to effectively apply my knowledge.
Philosophy of education:
I strongly believe in the value of education as a means to empower individuals, promote critical thinking, and foster positive change in society. My approach to education emphasizes a comprehensive understanding of subjects, promoting lifelong learning, and using acquired knowledge to find real-world solutions.
Future learning objectives:
As a strong advocate for education, I wish to continue expanding my knowledge and skills in the field of information technology. My aspiration is to contribute to this field through research, innovation and sharing my expertise with others.
In conclusion, my educational journey reflects my commitment to learning, personal growth, and my desire to contribute to the betterment of society. I am a lifelong learner who embraces opportunities for formal education and skill development, and I am enthusiastic about pursuing a path of continuous learning and discovery.
Experience / Qualifications
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Description of experience and qualifications:I bring extensive experience and solid training to any professional endeavor. Specializing in information technology, I have refined my skills and knowledge over the years, making me a valuable asset in various roles and sectors.
Professional experience :
Throughout my career, I have held several key positions within leading organizations, where I have consistently demonstrated my ability to lead teams, solve complex problems, drive innovation and achieve measurable results. My hands-on experience in project management, data analysis and software development has allowed me to develop concrete skills that I apply to each project.
Academic training :
My academic career is marked by a constant commitment to excellence. I hold a PhD in Mathematics and Computer Science from the École Polytechnique. During my studies, I not only achieved exceptional results, but I also participated in research projects and extracurricular activities that enriched my learning and broadened my horizons.
Professional skills:
I have a broad skill set including proficiency in programming languages, data analysis tools, and project management software. I continue to invest in improving and expanding my skills to stay on top of industry trends and technological advancements.
Passion for learning:
I am a perpetual learner who thrives on challenges and seizes every opportunity to acquire new knowledge and skills. I believe that keeping up to date with the latest developments in information technology is essential to maintaining a competitive edge and driving continuous improvement.
Contributions to industry:
I am proud of my contributions to the industry. Whether through innovative solutions, research publications, or mentoring and collaboration with my colleagues, I have actively participated in advancing the field and expanding my professional network.
Future goals:
Looking to the future, I am excited to leverage my experience and qualifications to excel in leadership roles, cutting-edge projects, and gain industry recognition. I am determined to make a positive impact in my field and continue to expand my expertise.
Reviews (7)
Very satisfied.
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Roger teaches subjects in a structured way. Clarifying the theory then allows you to understand the exercises on a solid basis.
He is a highly recommendable teacher.
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Knows how to make the lesson understood. And very patient
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We are very pleased with the teacher! Very qualified, patient and always prepared for the lessons.
Dear Join,
Thanks a lot for yesterday lessons. My daughter was so happy with your teachings.
Edith
...
Personalized Success: Private Lessons in Mathematics, Physics and Computer Science
This online tutoring program offers a personalized approach to mastering mathematics, physics and computer science. Designed to adapt to all levels, it is aimed at middle school, high school, university students and professionals looking for improvement. With a clear and interactive teaching method, you will learn to solve complex problems while developing a deep understanding of the concepts.
---
Why choose this program?
- Full customization: Each course is tailored to your needs, whether it's filling gaps, preparing for exams, or working on advanced projects.
- Multidisciplinary expertise: Learn from an experienced teacher in mathematics, physics and computer science, able to connect concepts across disciplines.
- Effective methodology: Clear explanations, interactive exercises and concrete case studies for rapid assimilation.
- Flexible formats: Choose 60, 90 or 120 minute sessions depending on your goals and schedule.
---
Course content:
Mathematics :
1. Secondary level:
- Algebra: equations, systems, inequalities.
- Geometry and trigonometry.
- Basic probabilities and statistics.
2. Advanced level:
- Differential and integral calculus.
- Mathematical analysis and optimization.
- Solving complex problems for exams and competitions.
---
Physical :
1. Essential bases:
- Laws of mechanics (Newton, energy, work).
- Electricity, magnetism and electrical circuits.
- Waves, optics and thermodynamics.
2. Applied physics:
- Fluid dynamics, advanced thermodynamics.
- Physics of materials and concepts of quantum mechanics.
- Solving real-world problems related to engineering and science.
---
Computer science :
1. Basic concepts:
- Basic programming: Python, Java, or C++.
- Introduction to algorithms: variables, loops, conditions.
- Management of simple IT projects.
2. Advanced applications:
- Object-oriented programming and advanced data structures.
- Use of specific libraries like NumPy, Pandas or Matplotlib.
- Development of practical projects: simulation, automation and data analysis.
---
Course schedule:
- 60 minutes: Focus on a specific subject or resolution of a key exercise.
- 90 minutes: Ideal duration to explore a theme in depth with practical applications.
- 120 minutes: Intensive format for complete revisions, projects or accelerated learning.
Each session includes:
1. Introduction: Reminder or discovery of basic concepts.
2. Detailed explanation: In-depth theory with concrete examples.
3. Practical: Solving exercises or studying interactive cases.
4. Summary: Questions and answers and validation of acquired knowledge.
---
Resources and tools provided:
- Educational materials: summary sheets, corrected exercises, step-by-step guides.
- Interactive platform: virtual whiteboard, screen sharing, simulations and live collaboration.
- Continuous support: answers to questions by email between classes.
---
Your teacher:
An expert passionate about teaching, with a solid background in mathematics, physics and computer science. Recognized for his accessible and adapted pedagogy, he will support you in achieving your academic or professional goals, by simplifying complex concepts to make them accessible and applicable.
---
Book your class today!
Whatever your level or needs, this personalized program is designed to help you progress quickly and sustainably. Register now and take a decisive step towards success!
Academic Support: Mathematics from Secondary to Bachelor's Degree and Fundamentals of Programming in C and C++ and Python for Beginners and Intermediates
Whether you are in high school, university or a professional changing career, this academic support program allows you to strengthen your skills in mathematics and programming. In mathematics, you will master the key concepts of secondary and university programs, while in programming, you will learn the basics and fundamentals of C and C++ for beginners and intermediates. This online course is structured to offer you flexible instruction, adapted to your level and your specific needs.
---
Why choose this program?
- Tailor-made support: Each session is adapted to your objectives and your level, whether it is to prepare for an exam, resolve specific difficulties or improve in a specific area.
- Quality teaching: Courses given by an expert in mathematics and computer programming, able to guide you step by step in your learning.
- Interactive and engaging methodology: Clear teaching with practical examples, interactive exercises and real projects to allow you to understand and apply the concepts studied.
- Flexibility of formats: Choose from 60, 90 or 120 minute sessions depending on your availability and your objectives.
---
Course content:
Mathematics :
1. Secondary level:
- Algebra and geometry: Solving equations, systems of equations, properties of geometric figures.
- Trigonometry and arithmetic: Properties of trigonometric functions, trigonometric identities, calculations with logarithms and sequences.
- Probability and statistics: Basic concepts of probability, calculation of means and standard deviations, conditional probabilities.
2. Bachelor level:
- Differential and integral calculus: Study of functions, derivatives, integrals and applications in practical contexts.
- Linear algebra: Vectors, matrices, linear transformations, linear systems.
- Applied mathematics: Solving complex problems in analysis, optimization and mathematical modeling.
---
Programming in C and C++ (Beginner and Intermediate):
1. Introduction to C and C++ programming:
- C basics: Variables, data types, operators, control structures (if, while, for), functions and arrays.
- C++: Introduction to object-oriented programming (OOP) with classes, objects, inheritance, polymorphism.
- Memory management: Dynamic allocation, pointers, memory management in both languages.
2. Intermediate programming in C and C++:
- Advanced data structures: Linked lists, stacks, queues, binary trees.
- Exception handling: Using try-catch in C++ and error handling in C.
- Practical projects: Development of simple applications, games or automation projects with C/C++.
---
Course schedule:
- 60 minutes: Short, focused lessons to address a specific topic or solve a particular problem.
- 90 minutes: Perfect for exploring a topic in more depth with concrete examples and practical exercises.
- 120 minutes: Intensive format for in-depth reviews, projects or advanced programming sessions.
Each session includes:
1. Introduction: Review of concepts or introduction to new notions.
2. Detailed explanation: Theory accompanied by practical examples to illustrate the concepts.
3. Hands-on exercises: Problem solving, live code or case studies.
4. Questions and answers: Clarification of doubts and review of complex points.
---
Resources and tools provided:
- Teaching materials: Course notes, exercises and projects, detailed solutions for each problem studied.
- Interactive platform: Use of a digital whiteboard, screen sharing and real-time code simulation.
- Follow-up between classes: You will have access to email follow-up to ask additional questions or clarify points after each session.
---
About the trainer:
An experienced trainer, passionate about exact sciences and programming, with a solid background in teaching mathematics and C/C++ programming. With a clear and structured pedagogical approach, he will guide you through each step of your learning, providing you with the keys to succeed and progress quickly.
---
Book your course now!
If you want to improve your math and programming skills or need targeted support to succeed in your exams or projects, this program is for you. Register now and start your personalized learning for a successful future!
Multidisciplinary Program: Mathematics, Physics and Computer Science Courses for All Levels
Looking to improve your skills in mathematics, physics or computer science? This multidisciplinary program offers you a comprehensive and personalized approach to excel in these three areas. Suitable for high school students, university students and professionals, this online course combines clear teaching, practical exercises and individual support to ensure your success.
---
Why choose this program?
- Tailor-made teaching: Each course is tailored to your goals, whether it's preparing for an exam, filling in knowledge gaps or developing advanced technical skills.
- Interdisciplinary expertise: Benefit from the experience of a trainer who is an expert in mathematics, physics and computer science.
- Interactive learning: A methodology based on clear explanations, practical exercises and concrete projects.
- Flexibility of formats: Choose 60, 90 or 120 minute sessions to learn at your own pace.
---
Course content:
Mathematics :
1. Secondary level:
- Algebra, geometry, trigonometry.
- Solving complex equations and systems.
- Practical applications to understand key concepts.
2. University level:
- Differential and integral calculus, mathematical analysis.
- Probability and applied statistics.
- Mathematical optimization for concrete projects.
---
Physical :
1. Secondary level:
- Kinematics and Newton's laws.
- Electricity, magnetism and optics.
- Simplified thermodynamic concepts.
2. University level:
- Advanced mechanics, fluids and thermodynamics.
- Electromagnetism and quantum mechanics.
- Experimental applications and modeling.
---
Computer science :
1. Introduction and fundamental concepts:
- Introduction to programming: variables, conditions, loops.
- Key languages (Python, Java, C++) and their applications.
- Algorithmic resolution and computational thinking.
2. Advanced computing:
- Object-oriented programming (OOP) and advanced data structures.
- Development of concrete projects: simulation, data analysis, automation.
- Use of specialized libraries: NumPy, Pandas, Matplotlib.
---
Course schedule:
- 60 minutes: For a quick focus on a specific subject or an exercise resolution.
- 90 minutes: An ideal length of time to explore a theme in detail and practice.
- 120 minutes: Intensive format for revisions, projects or complex concepts.
Each course follows an optimized structure:
1. Introduction: Review of key notions or concepts.
2. Theory: Detailed explanations with concrete examples.
3. Practical: Interactive exercises, case studies or project development.
4. Questions and consolidation: Clarification of doubts and validation of acquired knowledge.
---
Tools and resources provided:
- Interactive platform: Virtual whiteboard, screen sharing and live simulations.
- Educational materials: Summary sheets, corrected exercises and guided projects.
- Ongoing support: Access to email follow-up between classes to answer your questions.
---
About the trainer:
A multidisciplinary expert passionate about teaching and science, with a solid academic and practical background. His teaching approach, based on clarity and efficiency, will allow you to progress quickly while developing a deep understanding of the subjects studied.
---
Register today!
Whether you want to pass your exams, deepen your knowledge or develop your professional skills, this multidisciplinary program will help you achieve your goals. Book your first session and discover a learning method that really works.
Advanced Courses: Physics and Python Programming - For High School, University and Professionals
Deepen your knowledge of physics and Python programming with advanced courses designed to meet your academic or professional challenges. This comprehensive and interactive program will allow you to acquire a thorough mastery of complex physics concepts while learning to write powerful Python code optimized for real-world applications.
---
Why choose this course?
- Multidisciplinary expertise: Courses led by an expert with solid experience in advanced physics and computer programming.
- Tailor-made approach: Each course is tailored to your specific needs, whether it's passing exams, completing complex projects or perfecting your professional skills.
- Effective methodology: Combination of clear explanations, practical examples and targeted exercises.
- Flexibility of formats: Sessions of 60, 90 or 120 minutes depending on your availability and your objectives.
---
Course content:
Physics (Secondary to University):
1. Fundamental bases:
- Laws of motion (Newton, energy, work).
- Electricity, magnetism and electrical circuits.
- Waves, optics and thermodynamics.
2. Advanced Physics:
- Quantum mechanics and special relativity.
- Physics of materials and crystallography.
- Fluid dynamics and industrial applications.
3. Solving complex problems:
- Analysis of real physical situations and mathematical modeling.
- Strategies for solving academic and professional exercises.
---
Advanced Python Programming:
1. Advanced concepts:
- Object-oriented programming (OOP): classes, inheritance, polymorphism.
- Advanced data structures: stacks, queues, binary trees.
- Exception handling and performance optimization.
2. Specialized tools and libraries:
- NumPy and SciPy for computational physics.
- Matplotlib and Seaborn for data visualization.
- Pandas and analysis tools for processing large data sets.
3. Practical projects:
- Numerical resolution of systems of complex physical equations.
- Automation of calculations and creation of optimized algorithms.
- Simulation of physical phenomena in Python.
---
Course formats:
- 60 minutes: Focus on a specific subject or resolution of a complex exercise.
- 90 minutes: Ideal for exploring a topic in more depth and for practical exercises.
- 120 minutes: Perfect for intensive sessions, including theory, practice and in-depth review of concepts.
Each course follows a methodical structure:
1. Review or introduction.
2. Advanced theory with concrete examples.
3. Practical applications and interactive exercises.
4. Questions and answers to consolidate your learning.
---
Tools and resources included:
- Collaborative platform: Digital whiteboard, screen sharing, interactive simulations.
- Teaching materials: Course notes, Python tutorials, summary sheets.
- Continuous assistance: Possibility to ask questions between classes by email.
---
About your teacher:
A professional passionate about physics and Python programming, with years of experience in higher education and industrial problem solving. Known for his ability to explain complex concepts in a clear and accessible way, he will accompany you at every stage of your learning.
---
Book now!
Whether you are a student, researcher or professional, this advanced course is designed to give you the tools you need to succeed in the demanding fields of physics and Python programming. Enroll to turn your ambitions into concrete achievements!
Ask a question
Send a message explaining your needs and Join will reply soon:
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Ex. "Hi, when are you available to meet for a lesson?"
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from 27€At teacher's location
from 27€Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since September 2023
- 12 repeat students
- Phone number verified
- Google connected
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from 27€At teacher's location
from 27€Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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I little bit know Nihon-Go as well.
Alicha
ICT class, Computer Science, Coding and Network, all about Computer Classes are face-to-face at the student's home or via webcam. You will learn computer science according to your level and what you want to learn. I am a computer science student so quite versatile. As far as programming is concerned, the possible languages are: HTML, CSS, PHP, Python, C and C++, for the network, introduction to software such as Cisco packet tracer, GNS3, vmware, virtual box. Introductory computer courses, even rudimentary ones, are possible. You will learn in a jovial and encouraging atmosphere, I have a lot of experience in the field of teaching and I am comfortable with children
Vannick Borel
Mathematics and computer science teacher with an Excellent Track RecordGraduated with a master's degree in financial mathematics from Gustave Eiffel University and École des Ponts ParisTech, I have solid skills in mathematics as well as programming languages such as Python and C++. I also have significant teaching experience, having given lessons to pupils and students of various levels with very satisfactory results.
You can count on me to help you enjoy the material taught and excel in your learning. I am convinced that creating a close relationship with my students is essential to foster an optimal learning environment.
Wildric
Programming🖥️, Computer Science, Programming languages, Help with projectsAre you looking to master the world of computer science? Look no further! As a student at engineering school, specializing in computer graphics development, I'm delighted to offer private tutoring sessions tailored to your needs.
What I Offer:
- Comprehensive instruction in computer science, both theoretical and practical.
- Expertise in programming languages including C/C++, Python, Java, C#, and Rust
- Hands-on guidance in understanding fundamental concepts and advanced techniques.
- Personalized lessons to follow your learning style and pace.
About Me:
As a dedicated computer graphics developer, I've been involved in numerous projects, honing my skills and deepening my understanding of the field. Now, I'm eager to share my knowledge and experience with aspiring learners like you.
Who Can Benefit:
- Students seeking to strengthen their grasp of computer science concepts.
- Individuals interested in diving into programming or advancing their skills.
- Enthusiasts eager to explore the fascinating world of computer graphics.
Whether you're a beginner or looking to expand your expertise, together, we'll unlock the secrets of computer science and programming.
Melih
Computer courses (databases, programming, artificial intelligence and cybersecurity)I am a computer science student at the Polytechnic Faculty of Mons. Alongside my studies, I have enriching experience as a private teacher, providing courses in various fields such as databases, programming, artificial intelligence and cybersecurity.
Here is a concise summary of some significant projects I have completed:
Secure connected sensor system - Collaborative development with Polish students to create a secure and connected sensor network.
Full Stack Development for EasyTrip - Website design for a fictional company specializing in travel planning.
Optimization of vehicle routes for IT - OPTICS - Participation as a developer in a team of 17 students, working on route optimization for a real client.
Creating AI for Financial Transactions – Development of artificial intelligence capable of executing financial transactions based on stock market fluctuations.
Business project for PARASOLAR SA - Participation in the Business section for a connected parasol project and carrying out a financial analysis.
Civil Engineering Entrance Exam Training - Providing training to help students pass the Civil Engineering Entrance Exam.
Middle school tutoring - Supervision during remediation sessions for high school students.
These varied and enriching experiences demonstrate my commitment, my versatility and my passion for IT as well as for teaching.
Loic
Math, Computer, Test prepations, Tutoring and Advices for Primary, Secondary, and University Students ( Bachelor degree)Mathematics is a powerful subjects which has its applications in mostly all the fields like engineering, finance and moreover. In this class you will be able to overcome your fear in Mathematics by having simplified lectures in mathematics field lsuch as algebra and calculus.
Moreover you will have detailed explanations in subjects programing, more precisely in python and java, which are useful tools for a good career development.
Pr YSF
Electronics, Control of industrial systems, C/C++ VHDL programming, digital and analog electronics, MATLAB simulationHello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).
Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
Python,VHDL
PIC Microprocessor and Microcontroller
Signal processing and data acquisition
Engineering Sciences
These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes.
COURSE OBJECTIVES AND PEDAGOGICAL APPROACH
Resumption and deepening of fundamental concepts through exercises with course reminders.
Put the student in a situation of questioning and research.
Respond to individual issues and questions
Exercise training in order to achieve real mastery of the content.
Learn to build theoretical reasoning from observable facts or hypotheses.
Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)
This educational approach is effective since it has often led me to interesting results with my students.
Associate professor provides support courses in electrical engineering