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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since January 2021
Instructor since January 2021
Robotics, Programming and Engineering at all levels
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From 58.91 € /h
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I have deep knowledge of computer science, robotics and electrical/mechanical/automation engineering. I have been awarded the Best Graduate of a European university, have worked as an engineer in Nokia in 5G technology, then at CERN for several years to develop control systems and Mixed Reality human-robot interfaces, and currently at ESA in Mixed Reality astronaut training.

I am always keen to share my knowledge and passion with anyone interested in learning more about this fascinating world of robotics, computerization and automatization.

Having experienced how education and practical skills are important in the career, I would like to offer this class. The subject of the class will be fully customized to the student's interest, level and motivation.
Location
location type icon
Online from Switzerland
About Me
I am always keen to share my knowledge and passion with anyone who is interested in getting to know more about this fascinating world of robotics, computerization and automatization.
Education
PhD in Computer Science and Robotics
Master of Science in Engineering and Bachelor of Science in Engineering in Control Engineering and Robotics, specialization in Automation of Machines, Vehicles and Apparatus
Experience / Qualifications
I have deep knowledge of computer science, robotics and electrical/mechanical/automation engineering. I have been awarded the Best Graduate of a European university, have worked as an engineer in Nokia in 5G technology, then at CERN for several years to develop control systems and Mixed Reality human-robot interfaces, and currently at ESA in Mixed Reality astronaut training.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
45 minutes
60 minutes
90 minutes
The class is taught in
English
Polish
French
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I will teach you how to develop a human-robot interface for remote operations in hazardous environments, for example, in the radioactive areas at the European Organization for Nuclear Research (CERN).

This is an authored course based on my PhD research, you will understand:
-what realities we can have (virtual, augmented, mixed, extended)
-what are the head-mounted devices and what are their advantages
-how to overcome limited bandwidth in a mobile network while operating a robot in the XR interface
-how to remotely control robots and program the communication
-Unity game engine use for the interface development
Read more
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Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer courses in engineering sciences (Electronics, automatics, electrical engineering, automation, programming).
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renewable energy (wind, PV-solar)
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Hello, 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
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Put the student in a situation of questioning and research.

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Exercise training in order to achieve real mastery of the content.

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Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

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===================Satisfied or refunded=======================
Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer courses in engineering sciences (Electronics, automatics, electrical engineering, automation, programming).
Computational Sciences and Technology SNT
IS engineering sciences
Numerical and computer science SNI
Digital electronics
Analog electronic
electromagnetism
Signal processing and data acquisition
Automatic (discrete, continuous)
electrical engineering (transformers, electrical machines, switching power supply)
C/C++ Programming, Assembler, ARM, STM32
renewable energy (wind, PV-solar)
RDM - strength of materials mechanics of solids
Python and SYSML
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Supervision of graduation projects
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CORRECTION OF BTS TESTS
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I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

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I demonstrate excellent mathematics skills and analytical thinking alongside solid instruction. I instruct my students throughout the year and create lesson plans, assign homework, and manage online classrooms. I keep in touch with parents to be aware of the progress.
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-Care for and effectively assist students with special concerns.
-Analyze data to determine student progress and achievement.
-Work with individual and small groups of students to support mathematics instruction.
-Encourage students who need extra help
-Plan and carry out instructions, activities and prepare learning materials.
-Maintain appropriate records and follow required procedures and practices.
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-Dedication to instruction of critical thinking and problem-solving with confidence in a collaborative environment.
- Leadership skills and a positive attitude when assisting with decision making.
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❌ "Payment integration (Stripe) not working"

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Live Debugging Session: We fix it together via screen share
Code Review: I show you how to prevent the issue in the future
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Average Resolution Time:

Simple bugs: 1-2 hours
Deployment issues: 2-3 hours
Complex debugging: 3-5 hours

Urgent projects accepted (same-day availability for emergencies).
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Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
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This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed.

1. Mechanics:
Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

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Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

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For more information and to register for the preparation session, please contact me.

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Join us to unlock the potential of engineering and science, and start your journey towards innovation and discovery.
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This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.
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For many years, I have successfully supported Swiss students in the fields of statistics, data analytics, machine learning, and artificial intelligence. I have gained extensive experience using R as a statistical programming tool and know exactly what students in Switzerland are required to do. I have numerous sample projects, datasets, and exam questions at my disposal and have prepared many students for their assignments and exams in a targeted, sustainable, and highly successful manner. My focus is on explaining complex statistical procedures, algorithms, and data analyses in an understandable way, demonstrating them in a practical way, and building confidence in the secure handling of data. My goal is not only to improve grades, but also, in the long term, to develop a deep understanding of data-driven questions and modern technologies such as machine learning and AI, which are crucial in later professional life.

► How do I teach?

►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies.

►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms.

►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms.

►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible.

►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.
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I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev
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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
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I offer personalized tutoring in Computer Science, Programming, and IT fundamentals in English for students, beginners, and professionals who want to start or improve their technical skills.

With professional experience as a DevOps and Site Reliability Engineer working on large-scale cloud and e-commerce systems, I focus on practical, real-world learning rather than only theory.

Topics I can teach include:

Programming fundamentals (Python basics)

Linux and command line essentials

DevOps introduction

Docker and Kubernetes concepts

Cloud computing basics (AWS fundamentals)

Computer Science fundamentals

IT interview preparation and career guidance

My teaching style is simple, structured, and beginner-friendly. I adapt lessons based on the student’s level and learning goals.

Ideal for university students, beginners in IT, or anyone wanting to start a career in technology.
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Python is today one of the most in-demand programming languages in the world, used in software development, data analysis, artificial intelligence, and automation.

This course is designed to guide you step by step, whether you're a beginner or looking to deepen your skills. My approach is practical and project-oriented: you'll learn by coding.

In the program :
• Python basics (variables, conditions, loops)
• Functions and modular programming
• Lists, tuples, dictionaries
• Object-oriented programming
• File manipulation
• Introduction to NumPy and Pandas (data analysis)
• Concrete mini-projects adapted to your level

This course is aimed at students, engineers, professionals or anyone wishing to develop solid skills in Python programming.

The sessions are personalized according to your objectives: academic success, exam preparation, university projects or professional development.
Good-fit Instructor Guarantee
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