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معلم موثوق
يتميز هذا المعلم بمعدل استجابة سريع، مما يدل على خدمة عالية الجودة لطلابه.
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منذ يونيو 2018
أستاذ منذ يونيو 2018
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17 طلاب منتظمين
خيار موثوق لـ 17 طلاب منتظمين
Systematic Reasoning and Logical Thinking for Computer Science
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من 129.95 AED
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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! :)
المكان
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عبر الانترنت من هولندا
من أنا؟
I am currently a postdoctoral researcher at Delft University of Technology

I like sharing my knowledge with others. I believe that teaching makes the knowledge I have acquired as a researcher much more valuable. In my idea, successful teachers have several qualities including knowledge, enthusiasm, and student-based teaching methods.
المستوى التعليمي
PhD: Mechanical Engineering, Applied Design, 2016
Masters degree: Mechanical Engineering, Applied Design, 2011
Bachelors degree: Mechanical Engineering, Solid mechanics, 2008
الخبرة / المؤهلات
My university teaching experience:
- Lecturer of Mechanical Engineering Design I, Materials Science, Dynamics, Engineering
Mathematics, Engineering Drawing I and II, Mechanics of Materials I and II
- Teaching assistant of Statics, Linear vibration, and Engineering drawing
السن
الأطفال (7-12 سنة)
شباب (13-17 سنة)
الكبار (18-64 سنة)
الكبار (65 سنة فأكثر)
مستوى الطالب
مبتدئ
متوسط
متقدم
المدة
45 دقيقة
60 دقيقة
90 دقيقة
120 دقيقة
الدرس يدور باللغة
الإنجليزية
الفارسية
المراجعات
الجاهزية في الأسبوع العادي
(GMT -05:00)
نيويورك
at teacher icon
على الانترنت عبر كاميرا ويب
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I hold a PhD in Mechanical Engineering and currently work as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology).
Key topics that I teach for this course include:
• Calculus: Differentiation & integration, Multivariable calculus
• Linear Algebra: Matrices, vectors, systems of equations, Eigenvalues and eigenvectors
• Differential Equations: First- and second-order ODEs, Laplace transforms
• Complex Numbers: Polar form, Euler’s formula
• Vector Calculus: Gradient, divergence, curl, Line and surface integrals
• Series & Transforms: Taylor series, Fourier series

I understand that not all teachers excel in teaching Engineering and Mathematics courses and explaining their importance to students. Courses with strong mathematical backgrounds may become boring for students who lack a solid mathematical basis. To address this, I take a student-centered approach, starting from the basics to actively engage all students, including those with weaker mathematical backgrounds. I also provide practical examples to demonstrate the real-world significance of what they are learning, inspiring and fostering their interest in the subject matter.

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)
إقرأ المزيد
I hold a PhD in Mechanical Engineering and currently, I am working as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology).

I have extensive experience in teaching various Mechanical design packages, including LS-DYNA, ANSYS, APDL programming, ABAQUS, MATLAB, SolidWorks, Cura, and Symbolic MATLAB.

Some of the finite element modeling and numerical simulations I have worked on include:
- Multiscale finite element modeling for fatigue crack propagation in porous materials.
- Analysis of multiple-layer sandwich structures' resistance to bird-strike impact [Read paper].
- Investigation of debonding propagation in aluminum and glass/epoxy composite joints under fatigue loading using Fracture Mechanics principles.
- Computational prediction of the fatigue behavior of additively manufactured porous metallic biomaterials.
- Study of the effect of material type, stacking sequence, and impact location on pedestrian head injury in collisions.

If you have any additional questions before starting the class, please don't hesitate to ask me. I am here to help! :)
إقرأ المزيد
عرض المزيد
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فصول مماثلة
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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:
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What you will learn:
- Mathematics: We will cover topics ranging from algebra and geometry to analysis and trigonometry. Students will learn to solve complex problems, understand fundamental theorems, and apply mathematics in real-life situations.
- Physics: Basic concepts such as mechanics, electricity, magnetism, and thermodynamics will be covered. Students will conduct practical experiments to better understand physical principles and their applications.
- Computer Science: Introduction to programming, algorithms and data structures, as well as the fundamentals of data science and artificial intelligence. Students will develop real-world projects to apply their programming skills.

Class objectives:
- Keep students engaged and motivated by presenting them with challenges adapted to their level.
- Provide homework after each lesson to reinforce the concepts learned.
- Provide periodic progress reports to track each student's progress.

Who this class is for:
This class is ideal for high school students passionate about science and technology, who want to deepen their knowledge and prepare for higher education in scientific fields. Whether you're a beginner or already have a solid foundation, this class will help you progress at your own pace in a stimulating and supportive environment.
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We will work together on understanding key concepts (arithmetic, geometry, algebra, functions, etc.) through clear explanations, progressive exercises and a method adapted to the pace of each student.

The goal is to restore confidence, develop logic and reasoning skills, and make mathematics more accessible and concrete.

This course is also suitable for students in scientific, technical or linguistic fields who need regular or occasional support.
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✔ Young learners who enjoy storytelling, art, or technology
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Hello to Data & AI students (L3 Info/Stats, Master Data Science/AI, MIAGE, engineering schools, career change...)!
My name is Soufiane, I have a master's degree in Data Science & AI.
I offer 100% professional courses:
- Python Data & AI (Pandas, NumPy, Scikit-learn, TensorFlow/Keras)
- Advanced R (Tidyverse, Caret, Shiny)
- SQL & NoSQL (PostgreSQL, MongoDB, optimization)
- Power BI / Tableau (DAX, dashboards, storytelling)
- Advanced statistics (Bayesian, time series, A/B testing)
- Machine Learning (regressions, trees, clustering, XGBoost, evaluation)
- Deep Learning (CNN, RNN, Transformers, fine-tuning)
- NLP (tokenization, BERT, sentiment, chatbots)
- Big Data (Spark, Hadoop, ETL pipelines, AWS/GCP cloud)
- Complete projects (Kaggle, real-world datasets, GitHub, professional report) Levels: L3 Computer Science/Statistics/Economics
- Master Data Science, AI, MIAGE
- Engineering schools (Centrale, INSA, ENSIIE, EPITA...)
- AI retraining / bootcamps

Why me ?
- 100% interactive course: live coding, debugging, projects, datasets
- Professional supports: Jupyter notebooks, templates, ML/DL cheatsheets
- Flexible hours: evenings, weekends, intensive courses
- At home (Cergy, Pontoise, Sarcelles – free within 15 km) or Zoom + screen sharing
- Invoices issued.

Limited places available (max 8 students). Contact me by message to schedule an appointment.
Respond quickly! See you soon to master Data & AI!
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It is accessible to all beginner levels, and requires no prior knowledge.
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Essential expressions for everyday communication.
The construction of simple sentences (present, past, future).
Useful vocabulary: family, food, time, travel, emotions...
An introduction to Moroccan Darija, to understand and speak easily with Moroccans.
The course is suitable for:
Adults, students and travellers.
People wishing to discover Moroccan culture.
Learners seeking patient, clear and motivating support.
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Audio recordings to improve pronunciation.
Mini real-life scenarios for practice.
Personalized support to progress with confidence.
📚 Simple, clear and effective method
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I am an expert in teaching Calculus, Trigonometry, Algebra, Differential Equations, at all levels from school to university. In Computer Science I have been teaching Java Language for more than 24 years and also I teach Python and OUBuild which is a unique graphical Computer Language, MS Excel, MS Word, MS PowerPoint.
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- Manipuler facilement les formules, les graphiques et l’analyse des données sous Excel.
- Concevoir des présentations professionnelles attractives sous PowerPoint.
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In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.
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Séance 1 : Révolutionner sa Rédaction Scientifique avec LaTeX & l'IA
Durée : 2 Heures | Niveau : Débutant | Outils : Overleaf + IA**

Première Heure : Fondations et Environnement Cloud (60 min)

1. Introduction à la Philosophie LaTeX (15 min)

- Le concept "WYSIWYM" :** Expliquer la différence entre Word (*What You See Is What You Get*) et LaTeX (*What You See Is What You Mean*). Pourquoi le contenu prime sur la forme.
- Les avantages clés :** Qualité typographique inégalée, gestion automatique des références, stabilité sur les documents longs (thèses), et gratuité.
- La structure d'un fichier :** Distinction entre le **préambule** (le cerveau : réglages et packages) et le **corps du document** (le cœur : texte).

2. Immersion dans Overleaf (25 min)

- Configuration :** Création d'un compte et premier projet "Blank Project".
- Exploration de l'interface :** Le panneau de fichiers (gauche), l'éditeur de code (milieu) et la prévisualisation PDF (droite).
- Collaboration en temps réel :** Comment partager un projet et laisser des commentaires (comme sur Google Docs).
- L'historique et les versions :** Comment revenir en arrière en cas d'erreur de compilation.

3. Atelier Pratique : Mon Premier Document (20 min)

* Écriture des commandes de base : `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation du document et observation du résultat.
* Structuration : Utilisation de `\section` et `\subsection`.

Seconde Heure : Mathématiques et Magie de l'IA (60 min)

4. La puissance des Mathématiques (20 min)

- Modes mathématiques :** Différence entre le texte (`$...$`) et le bloc centré (`\[...\]`).
- Syntaxe essentielle :** Fractions `\frac{}{}`, exposants `^`, indices `_`, et racines `\sqrt{}`.
- Introduction aux packages AMS : Pourquoi amsmath et amssymb sont indispensables pour un rendu professionnel.

5. De la main à l'écran : L'IA au service du LaTeX (30 min)

- Présentation des outils d'OCR :** Utilisation de **Mathpix Snip** (le leader) ou de modèles comme Gemini/ChatGPT pour transformer une photo en code.
- Démonstration concrète :
1. Prendre une photo d'une formule manuscrite complexe (ex: une intégrale avec des matrices).
2. Utiliser l'IA pour générer le code LaTeX correspondant.
3. Correction et insertion : Apprendre à vérifier le code généré par l'IA avant de le copier-coller dans Overleaf.

6. Conclusion et Q&A (10 min)

* Synthèse des acquis.
* Ressources pour aller plus loin
* Définition de l'exercice pour la prichaine séance.
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اتصل بReza
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الدرس الأول مضمون
بواسطة
ضمان المدرس المناسب
فصول مماثلة
arrow icon previousarrow icon next
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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.
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We are a team of engineers passionate about programming. We offer Python tutoring courses suitable for all levels (beginners, advanced students, CPGE students, or anyone looking to develop their skills).

Our courses combine essential foundations, practical examples and clear teaching to ensure solid and useful progress for both studies and careers.
verified badge
This class is designed for high school students who wish to deepen their knowledge and skills in the fields of mathematics, physics and computer science.

What you will learn:
- Mathematics: We will cover topics ranging from algebra and geometry to analysis and trigonometry. Students will learn to solve complex problems, understand fundamental theorems, and apply mathematics in real-life situations.
- Physics: Basic concepts such as mechanics, electricity, magnetism, and thermodynamics will be covered. Students will conduct practical experiments to better understand physical principles and their applications.
- Computer Science: Introduction to programming, algorithms and data structures, as well as the fundamentals of data science and artificial intelligence. Students will develop real-world projects to apply their programming skills.

Class objectives:
- Keep students engaged and motivated by presenting them with challenges adapted to their level.
- Provide homework after each lesson to reinforce the concepts learned.
- Provide periodic progress reports to track each student's progress.

Who this class is for:
This class is ideal for high school students passionate about science and technology, who want to deepen their knowledge and prepare for higher education in scientific fields. Whether you're a beginner or already have a solid foundation, this class will help you progress at your own pace in a stimulating and supportive environment.
verified badge
This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.
verified badge
This mathematics course is aimed at students in lower or upper secondary education who wish to strengthen their basic skills, fill in gaps or effectively prepare for an exam.

We will work together on understanding key concepts (arithmetic, geometry, algebra, functions, etc.) through clear explanations, progressive exercises and a method adapted to the pace of each student.

The goal is to restore confidence, develop logic and reasoning skills, and make mathematics more accessible and concrete.

This course is also suitable for students in scientific, technical or linguistic fields who need regular or occasional support.
verified badge
This fun and interactive course introduces kids and teens to the fundamentals of coding using Scratch, a visual programming language developed by MIT. Students will learn to create games, animations, and interactive stories while developing problem-solving, logical thinking, and creativity skills—all in a playful, drag-and-drop environment!
Who Should Join?
✔ Kids & teens curious about coding and game design
✔ Young learners who enjoy storytelling, art, or technology
✔ Future coders looking for a fun introduction to programming
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Hello to Data & AI students (L3 Info/Stats, Master Data Science/AI, MIAGE, engineering schools, career change...)!
My name is Soufiane, I have a master's degree in Data Science & AI.
I offer 100% professional courses:
- Python Data & AI (Pandas, NumPy, Scikit-learn, TensorFlow/Keras)
- Advanced R (Tidyverse, Caret, Shiny)
- SQL & NoSQL (PostgreSQL, MongoDB, optimization)
- Power BI / Tableau (DAX, dashboards, storytelling)
- Advanced statistics (Bayesian, time series, A/B testing)
- Machine Learning (regressions, trees, clustering, XGBoost, evaluation)
- Deep Learning (CNN, RNN, Transformers, fine-tuning)
- NLP (tokenization, BERT, sentiment, chatbots)
- Big Data (Spark, Hadoop, ETL pipelines, AWS/GCP cloud)
- Complete projects (Kaggle, real-world datasets, GitHub, professional report) Levels: L3 Computer Science/Statistics/Economics
- Master Data Science, AI, MIAGE
- Engineering schools (Centrale, INSA, ENSIIE, EPITA...)
- AI retraining / bootcamps

Why me ?
- 100% interactive course: live coding, debugging, projects, datasets
- Professional supports: Jupyter notebooks, templates, ML/DL cheatsheets
- Flexible hours: evenings, weekends, intensive courses
- At home (Cergy, Pontoise, Sarcelles – free within 15 km) or Zoom + screen sharing
- Invoices issued.

Limited places available (max 8 students). Contact me by message to schedule an appointment.
Respond quickly! See you soon to master Data & AI!
verified badge
This course is aimed at non-Arabic speakers wishing to learn Arabic in a simple, progressive and practical way, while discovering Moroccan pronunciation (darija).
It is accessible to all beginner levels, and requires no prior knowledge.
Through an interactive method, you will learn:
The basics of the Arabic alphabet and correct pronunciation.
Essential expressions for everyday communication.
The construction of simple sentences (present, past, future).
Useful vocabulary: family, food, time, travel, emotions...
An introduction to Moroccan Darija, to understand and speak easily with Moroccans.
The course is suitable for:
Adults, students and travellers.
People wishing to discover Moroccan culture.
Learners seeking patient, clear and motivating support.
I provide :
Structured course materials (PDF + exercises).
Audio recordings to improve pronunciation.
Mini real-life scenarios for practice.
Personalized support to progress with confidence.
📚 Simple, clear and effective method
👨‍🏫 Support tailored to your pace
verified badge
With over 25 years of academic teaching experience in both Mathematics, Computer Science, and Statistics. I am confident in my ability to contribute meaningfully to teaching. I have taught a diverse range of courses within the Department of Mathematics – College of Science, including both Mathematics and Computer Science Courses, both in English as well as Arabic. Additionally, I have taught Mathematics in the Department of Basic Sciences – Preparatory Year Deanship, preparing students for academic success across scientific disciplines. Earlier in my career, I also taught at the University of Khartoum in Sudan, where I contributed to building foundational skills in both Mathematics and Computing among undergraduate students. I am fluent in English, highly skilled with LMS platforms such as Blackboard, Google Meet, Zoom, MS Teams and committed to student-centered teaching. My approach integrates digital tools, real world examples, and collaborative learning to help students bridge the gap between secondary and higher education. My philosophy of teaching evolved via my long teaching experience. As I reflect on my beliefs regarding teaching and learning, I find that my mission as a teacher is threefold: - To promote positive learning. - To spark the learner’s enthusiasm for learning. - and to provide a strong foundation for lifelong learning.
I am an expert in teaching Calculus, Trigonometry, Algebra, Differential Equations, at all levels from school to university. In Computer Science I have been teaching Java Language for more than 24 years and also I teach Python and OUBuild which is a unique graphical Computer Language, MS Excel, MS Word, MS PowerPoint.
verified badge
I primarily offer math and computer science tutoring tailored to all levels, and even other subjects from kindergarten through high school. Lessons are explained simply and progressively, with plenty of practical exercises to ensure understanding. I support each student with patience, dedication, and kindness, adapting to their pace and needs.
verified badge
Cours privés et flexibles adaptés à votre niveau, votre emploi du temps et vos objectifs pour:
- Développer une maîtrise avancée des fonctionnalités de Word.
- Manipuler facilement les formules, les graphiques et l’analyse des données sous Excel.
- Concevoir des présentations professionnelles attractives sous PowerPoint.
verified badge
Technology is everywhere, and understanding how it works and how to protect it can open doors to exciting opportunities. I’ve designed this course as a hands-on journey into networking, programming, and cybersecurity, where you don’t just learn theory, you practice real skills that matter in the digital world.

In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.
verified badge
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
verified badge
This course aims to introduce students to the fundamentals of computer science and modern artificial intelligence technologies. It covers essential concepts in programming, algorithms, machine learning, and AI, with both a theoretical and practical approach.

Students will learn to design algorithms, develop programs in C and Python, and implement machine learning models to solve real-world problems. The course emphasizes logic, problem-solving, and the use of modern tools in data science and AI.
verified badge
Séance 1 : Révolutionner sa Rédaction Scientifique avec LaTeX & l'IA
Durée : 2 Heures | Niveau : Débutant | Outils : Overleaf + IA**

Première Heure : Fondations et Environnement Cloud (60 min)

1. Introduction à la Philosophie LaTeX (15 min)

- Le concept "WYSIWYM" :** Expliquer la différence entre Word (*What You See Is What You Get*) et LaTeX (*What You See Is What You Mean*). Pourquoi le contenu prime sur la forme.
- Les avantages clés :** Qualité typographique inégalée, gestion automatique des références, stabilité sur les documents longs (thèses), et gratuité.
- La structure d'un fichier :** Distinction entre le **préambule** (le cerveau : réglages et packages) et le **corps du document** (le cœur : texte).

2. Immersion dans Overleaf (25 min)

- Configuration :** Création d'un compte et premier projet "Blank Project".
- Exploration de l'interface :** Le panneau de fichiers (gauche), l'éditeur de code (milieu) et la prévisualisation PDF (droite).
- Collaboration en temps réel :** Comment partager un projet et laisser des commentaires (comme sur Google Docs).
- L'historique et les versions :** Comment revenir en arrière en cas d'erreur de compilation.

3. Atelier Pratique : Mon Premier Document (20 min)

* Écriture des commandes de base : `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation du document et observation du résultat.
* Structuration : Utilisation de `\section` et `\subsection`.

Seconde Heure : Mathématiques et Magie de l'IA (60 min)

4. La puissance des Mathématiques (20 min)

- Modes mathématiques :** Différence entre le texte (`$...$`) et le bloc centré (`\[...\]`).
- Syntaxe essentielle :** Fractions `\frac{}{}`, exposants `^`, indices `_`, et racines `\sqrt{}`.
- Introduction aux packages AMS : Pourquoi amsmath et amssymb sont indispensables pour un rendu professionnel.

5. De la main à l'écran : L'IA au service du LaTeX (30 min)

- Présentation des outils d'OCR :** Utilisation de **Mathpix Snip** (le leader) ou de modèles comme Gemini/ChatGPT pour transformer une photo en code.
- Démonstration concrète :
1. Prendre une photo d'une formule manuscrite complexe (ex: une intégrale avec des matrices).
2. Utiliser l'IA pour générer le code LaTeX correspondant.
3. Correction et insertion : Apprendre à vérifier le code généré par l'IA avant de le copier-coller dans Overleaf.

6. Conclusion et Q&A (10 min)

* Synthèse des acquis.
* Ressources pour aller plus loin
* Définition de l'exercice pour la prichaine séance.
ضمان المدرس المناسب
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