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"Embark on an exciting journey into the world of Computer Science, tailored specifically for young minds aged 7-17. This course is designed to ignite curiosity and passion in the field of computing, providing a strong foundation in key areas like basic programming, computer architecture, and practical skills in office software. You'll discover the magic of how computers work, from the basics of coding to the intricacies of hardware. Learn to program using engaging and age-appropriate languages and tools, understand the fundamentals of computer architecture, and master essential software applications that are crucial in today’s digital world. Beyond the basics, this course encourages creativity and problem-solving. We’ll dive into exciting projects that blend learning with real-world applications, ensuring that students not only grasp the concepts but also see their practical implications. Suggested topics include: Introduction to Programming: Learn the basics of coding with languages suitable for young learners. How Computers Work: Demystify the components and operations of computers. Fun with Robotics: Explore the basics of robotics and how programming brings machines to life. Creative Computing: Engage in projects that combine coding with creativity, like building simple games or animations. Internet Safety and Ethics: Understand the importance of being safe and responsible online. Office Skills: Get hands-on with word processors, spreadsheets, and presentation tools, essential for academic and future professional success. This course is more than just a learning experience; it's a gateway to understanding and harnessing the power of technology, paving the way for future innovations and a deep appreciation of computer science." This course will be an adventure where each class brings new discoveries and achievements, perfect for young minds eager to delve into the world of computer science!

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Machine learning -supervised unsupervised .. different projects and applications Professor in mathematics, computer science at HEFF in Brussels and before a professor of electronics at IEPSCF, NGÉNIEUR in electronics ECAMIEN basic graduate in mathematics-physics and I offer an individualized pedagogy, help in the preparation of questions or exams. My goal is to make the student progress without overloading him. I give homework after each lesson and periodically provide progress reports I strongly encourage the student because the state of mind and morale have a direct influence on school results. I am someone understandable and I always try to take each in his own way. I always start by clarifying the course after giving an example then giving an example to the student to do a complete exercise and finally correct an exam together generally that's the methodology but it can change from one case to another.

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I offer support courses to secondary and higher students in mathematics, IT: The courses concern: 1- General programming concepts (Java, Android, C) 2- Combinatorial logic, numerical calculation 3- Mathematics (Analysis, Algebra, Statistics, Matrix calculus, Integral calculus, Study of functions, etc ...)

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With a Bachelor's degree in Computer Science and several years of experience in digital support, I teach computer science, mathematics and physics. Regarding IT, I offer to help you solve problems (software installation, formatting, etc.) and teach you how to do it yourself. Price per task, depending on the nature of the problem to be solved.

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During this school holiday period, it's time to rest and relax, but be careful not to let yourself go too much because for some this period also rhymes with remedial exams and/or summer homework. Do not panic! With my 3 years as a private teacher I realized one thing, with motivation and a little goodwill, no goal is impossible to achieve (and especially not in math ;)). That's why I try to make my lessons as interactive as possible, lessons where the student just takes notes have very little meaning for me. Thus, I can precisely target the difficulties of the student. Each student is different, which is why my classes are specific to each student, to their needs and desires. Of course, I love working in a good atmosphere and in a good mood so with me no stress ;) Thanks to my civil engineering diploma, I have the skills required for courses/support in mathematics at the primary, secondary, higher and university levels, but also for preparation for the civil engineer entrance exam. Do not hesitate to call me to discuss it and find a solution!

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Hi, I hope you will be fine. Welcome to my profile. This is Faisal. I am a Lecturer in Data Science at University. Data Science is the advanced field of Computer Science. I have more than 4 years of teaching experience including International level Students from Multiple countries of different levels of education, like, up to the University level. I love education because education is a powerful weapon to change the world. I am hardworking, and I am interested to use my Technical background and Expertise for my students. I teach the students with step-by-step instructions to make their concepts clear. That’s why I always focus on the Quality of Education to make my students and their parents happy. I take quizzes /tests daily and weekly basis. I provide the helping materials. I'm a friendly, happy, and polite person. I really like teaching because I think it’s my passion. I really enjoyed teaching children because they always enjoy my lessons. Lооking fоrwаrd tо Help mоre аnd mоre students tо get better & Quаlity Educаtiоn. Feel free to contact me, Takecare :)

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24Students

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.

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14Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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10Students

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! :)

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2Students

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty. 1: Demystifying AI (What exactly is it?) AI is not a movie robot: Difference between fiction and reality. How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image. Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa). 2: Using AI to make life easier Conversing with AI (ChatGPT, Claude, Gemini): Ask him to write an administrative email or a complex letter. Summarize a long newspaper article or document. Plan a travel itinerary or find recipe ideas with what's left in the fridge. AI for creativity and memory: Generate images to illustrate a birthday card (Midjourney, DALL-E). Using AI to restore or colorize old family photos. 3: Learning to "talk" to AI (The Art of the Prompt) The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe". The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener". 4: Precautions and Critical Thinking (The Survival Guide) "Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification). Privacy protection: Never give sensitive data (social security number, passwords, bank details) to an AI. Knowing that everything we write to the AI is potentially used to train it. Spotting "Deepfakes": How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice). Verify the information: the golden rule of cross-referencing sources. 5: Ethics and Impacts (To go further) Copyright: Who owns an image created by AI? The environmental impact: The water and energy consumption of AI servers. The future: Will AI replace us or assist us?

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3Students

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.