Trusted teacher

Currently studying in the first year of engineering at the higher school of computer science and applied mathematics ENSIMAG. After a math baccalaureate mention excellence, I followed a preparatory class at the higher school of computer science in Algiers, Algeria, to do after a year of bachelor's degree in computer science at the sorbonne, I ranked among the majors of my promotion which allowed me to integrate the ENSIMAG. Today I am ready to give lessons at all levels (college, high school, prep) in mathematics or computer science. I intervene for all types of needs and objectives, all as vast and different as they are! From those who have more or less profound difficulties in the subject, to those who aim for improvement, excellence, through those who have more general concerns in school results and / or their schooling.

Trusted teacher

How Our Courses Work: Beyond the Surface What my working method brings you: --> a deep understanding that lasts long after the exam. With me, we'll transform passive learning into engineering mastery. 1. Revelation of the Implicit and Active Construction Decoding the Invisible: I don't just give you the answer; I help you decipher what's hidden and implicit behind the formulas and lines of code. Together, we'll dissect the concepts to understand their true origins and usefulness. Build and Analyze: Each session is a workshop. We will build solutions and analyze problems in pairs, allowing you to develop independent reasoning, essential for higher education. 2. The Art of Lasting Memorization Analogies and Anchors: I use concrete analogies and vivid examples to explain the subtle differences between two related concepts. The goal? To create strong mental anchors so you never forget the fundamental concepts. From Confidence to Excellence: I'll share with you the work methods and organizational skills that allowed me to excel in my academic career and engineering career. You'll leave not only with knowledge, but also with a strategy for success. My commitment: To make you see Mathematics and Computer Science no longer as subjects to be learned, but as a single logic to be mastered.

Trusted teacher

21Students

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.

Trusted teacher

6Students

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.

Trusted teacher

8Students

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! :)

Trusted teacher

4Students

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?