Translated by GoogleSee original

Informatics/computer science, computer science, algorithms and programming

From 35 Fr /h

I specialize in computer science programming for students or bachelors.
I have a bachelor in computer science (internet of things), a master degree in artificial intelligence and currently I am doing a PhD (doctorate) in computer science (robotics, augmented reality and artificial intelligence). I have an experience in teaching at the university as well as high school students.
This class can be oriented to different levels depending on the student's level, so don't be worry.
Furthermore, my classes are oriented to different student categories (children, teen, adults).
I am using a very simple and funny pedagogic that can facilitate the information receiving process.

I specialize in computer programming for students and graduates.
I have a bachelor's degree in mathematics, an engineering degree in computer science (Internet of Things), a master's degree in artificial intelligence, and I am currently working on a doctorate in computer science specializing in robotics, augmented reality, and artificial intelligence. I have experience teaching at university and high school students.
This class can be geared towards different levels depending on the student's level, so don't worry.
In addition, my courses are geared towards different categories of students (children, adolescents, adults).
I use a very simple and fun pedagogy that can facilitate the process of receiving information.

Location

Online from Luxembourg

About Me

I am doctor of engineering.
I have a background on mathematics, computer science and new technologies such as robotics and artificial intelligence.
I have a doctoral degree, an engineering diploma and a pedagogic research master thus I am familiar with tutoring and teaching at the university as well as school/high school.

Education

Doctoral studies (phd) in Luxembourg in programming, Artificial intelligence for robotics and augmented reality.
Research master degree in computer science.
Engineering degree in computer science and mathematics.
Preparatory school in mathematics and physics.

Experience / Qualifications

I have an experience in tutoring students from the age of 6 to high school students and bachelors and also teaching master students at the university.

Age

Infants (0-3 years old)

Preschool children (4-6 years old)

Children (7-12 years old)

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

French

Arabic

Skills

Computer programming

Information technology

Computer science

Reviews

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Python programming - Python programming for all levels

35 Fr /h

Python is the most widely used open source programming language among computer scientists. This language has propelled itself to the forefront of infrastructure management, data analysis or in the field of software development. It can also be used in: programming applications, creating web services, generating code and for metaprogramming.
This course is for different levels as well as different age groups.

Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
This course is planned to suit all levels as well ages.
From beginners to advanced and from generals to specialties.

math courses - mathematics lessons for students

40 Fr /h

Teacher graduated with an engineering degree with specialization in engineering, mathematics and physics.
math courses for different levels: high school students and students.

Teacher graduated with an engineering degree with specialization in engineering, mathematics and physics.
math courses for different levels: high school students and students.

Gaëlle

5.0

(3)

Most kids think coding is for "smart kids" or "future programmers."
It's not. Coding is how real people solve real problems.
In this class, we skip the theory. Your child creates real things.

What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations

Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

What they take home:
A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed
For curious 8-12 year olds who want to build.

Robert

5.0

(3)

As a Franco-Belgian management teacher, I give Excel lessons with passion!
Whether remotely or face-to-face, I offer many examples and exercises to accompany you.
I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely.

Here are some key words that will be covered in my classes:
Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

Khalil

5.0

(3)

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

Enrique

5.0

(3)

Don't settle for anything less than excellence.
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.

With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful.

Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas:
- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US.
- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement.
I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.

Mouad

5.0

(3)

⭐⭐⭐⭐⭐

👨‍🎓 With 5 years of experience in distance and in-person teaching, I am a mathematics teacher specializing in tutoring and private lessons. I also teach physics, chemistry, and science subjects in general.

I hold a Master's degree in Operations Research (Applied Mathematics) and I have been teaching private lessons for over 5 years, mainly mathematics for middle and high school levels.

✏ I have taught students from different schools, whether public, private, following the French program (mission), Belgian, Swiss, Spanish (students from French-speaking or English-speaking Spanish schools) or American. In summary, all French or English programs.

✏ I support students from A to Z in all stages of their learning, using a simple, new generation and effective methodology: explanation of lessons, summary of lessons, application and deepening exercises, etc.

✏ I also prepare students for exams and competitions.

✏ I also support students with their homework (homework help).

✏ All my students have made extraordinary progress and achieved their goals, with grades of 16, 17, 18 or 19 out of 20.

Sessions usually take place as follows:

1️⃣ The first sessions are mainly intended to assess the level of the student in order to determine the shortcomings noted.

2️⃣ Then we make a plan to fill those gaps: number of hours of work required, parts of the lessons to focus on, lots of training and development exercises, etc.

3️⃣ We make sure to stay up to date with the student's class teacher to track their progress and align our work with what is being taught in class.

4️⃣ Then I provide exams similar to what may be offered in class.

5️⃣ Upon request, I write a monthly report to keep parents informed of their child's level throughout the course.

I also adapt my methodology according to the needs of each student, which means that everyone has a personalized working method adapted to their needs!

I also offer crash courses for those preparing for the start of the school year, so that they start the year well prepared 💪 and with a head start on the program.🧠

💭 If you have any questions, don't hesitate to contact me ;)

Reza

5.0

(3)

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

Baia

5.0

(3)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Hayat

5.0

(3)

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.

Amr

5.0

(3)

Private Programming Lessons for you / your family / your company employees
Programming Tutor – IGCSE & Computer Science Subjects
Deeper understanding, stronger results

• Lecturer at the American University AUC
• Over 20 years of experience in training students for government employees, oil companies (BP), food companies (Nestle), banks (CIB), and telecommunications companies (Vodafone).

• Teaching curricula, syllabuses, courses:
o IGCSE (Computer Science 0478, ICT 0417)
o Programming and computer courses for all educational levels (from primary to university)
o Microsoft Windows, Word, Excel, PowerPoint, Outlook, MS-Project
o Programming, C, C++, VB.NET, C#, Python, Database, SQL, MQL, VBA
o HTML, CSS, JavaScript, Angular
o Different database systems
o Data analysis using Excel
o Computer and Information Colleges Curricula
o Using artificial intelligence in life and work

• Master office applications to improve your job performance.
• Prepare yourself to work as a Front-End / Back-End / Full Stack Developer
• Theoretical and practical training for market requirements
• Don't miss out on technology. Lessons are designed for the elderly, in a simple and understandable way (use of computers and their programs, use of mobile phones, dealing with the Internet and social media).
• Lessons are available in person or online.

Yakine

5.0

(3)

Experienced Teacher – Mathematics, Statistics & Computer Science

With more than 10 years of experience, I support pupils and students from middle school to university, as well as candidates for competitive exams (BCE, ECRICOME, TAGE MAGE, IAE MESSAGE, etc.).

Courses offered:

Mathematics (academic support, in-depth study, exam/competition preparation)
Applied Statistics & Probability
Computer science: Python, SQL, VBA, Data Mining
Methodological coaching (organization, efficiency, self-confidence)

Method: progressive and personalized approach, based on a diagnostic assessment, targeted exercises and regular monitoring to ensure lasting progress.

In-person or online teaching – individual or small group lessons.

Strengths:
More than 10 years of experience
Concrete results (students admitted to the best schools)
Clear, structured and motivating teaching

Prices adapted according to the level and the package chosen.
First free exchange to assess your needs.

Achieve your goals with quality support

Ali

5.0

(3)

I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham.
What I cover:

Python for data science and ML (NumPy, Pandas, Scikit-learn)
Deep learning with TensorFlow and Keras
Core ML concepts: regression, classification, clustering, neural networks, CNNs
Computer vision and image classification (my published research area)
University coursework support, dissertation help, project guidance
Help with Kaggle competitions and personal portfolio projects

How I teach:
I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects.
Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.

Denys

5.0

(3)

Бажаєш навчитися будувати власні розумні пристрої, зчитувати дані з датчиків та програмувати апаратне забезпечення? У цьому курсі ми поринемо у світ вбудованих систем (Embedded Systems).

Що ти вивчиш:

- Основи електроніки та проєктування схем.

- Програмування Arduino, ESP32 та STM32 на C/C++.

- Підключення датчиків (температури, звуку, руху) та виконавчих механізмів.

Практична реалізація: крок за кроком ми розроблятимемо твої власні проєкти у сферах робототехніки та IoT (інтернету речей).

Ammar

5.0

(3)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Fatima

5.0

(3)

Teaching python to beginners!

In these classes, you will learn the basics of python programming, functions, lists, sets, and much more with practice assignments and assessments...

I have experience in teaching python to university peers.

Nuria

5.0

(3)

Are you studying Web Development, Computer Engineering, or other technology-related fields and need help with web development?

The classes are online, one-on-one, and fully tailored to your syllabus, level, and goals. We can start from scratch, prepare for a subject or exam, solve practice problems, work on an assignment, or progress with a complete project.

We can work on content such as:

* HTML and CSS;
* JavaScript and client-side programming;
* PHP and backend development;
* frontend and backend;
* forms, sessions and authentication;
* consumption and creation of REST APIs;
* connection to databases and SQL;
* organization and architecture of web applications;
* Git and version control;
* debugging and error resolution;
* Frameworks and libraries according to your subject;
* application deployment;
* Development of internships and complete projects.

We can also work with the specific technologies, frameworks, or tools you are using in your training or project.

The classes are primarily hands-on. We'll analyze the problem, propose a solution, and work through the code so you understand what's happening and why.

My goal is not for you to copy a solution, but for you to develop the autonomy to analyze errors, organize an application, and tackle new problems on your own.

In addition to the classes, you will have access to our educational platform with its own documentation, notes, examples, exercises, practices and other resources to continue working between sessions.