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Since November 2022
Instructor since November 2022
Translated by GoogleSee original
Algorithme, python, html5 , javacsript, php, robotique
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From 39.19 € /h
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You will learn how to create:
- algorithms with decomposition into modules
- programs using python
- a dynamic website
- an assembly using ESP32 card and creating programs using micropython
we will do practical work and applications together and you will find the course in google classroom with correction of applications
Extra information
faites confiance en nous
Location
location type icon
Online from Tunisia
About Me
I have been a computer science teacher since 2005, I teach algorithms and programming. you will be able to create dynamic websites and applications. in the field of robotics, I have considerable experience using the esp32 card and the micropyhton lange. I taught courses in maintenance and computer network and I taught students how to repair a computer whether in soft or hardware and we did the cabling and configuration of the network
Education
Master's degree in computer science management from the Faculty of Economics and Management of Sfax then Master's degree in Computer Science and New Technologies in the same Faculty
Experience / Qualifications
Secondary school teacher for 17 years
programmer in a company making GUI and database access applications
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
45 minutes
The class is taught in
French
English
Arabic
Availability of a typical week
(GMT -04:00)
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
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Contact Elgaied
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Similar classes
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Adam
As an experienced teacher of mathematics, physics and programming, I offer online courses tailored to students wishing to improve their understanding, prepare for their exams or succeed in their university projects.

I have been teaching for several years to students of different levels: high school, university, engineering schools, and adults retraining for a new career. My goal is to make complex concepts simpler through clear, progressive explanations adapted to each student's level.

I can assist you in the following areas in particular:

• Mathematics: analysis, algebra, probability, statistics, differential calculus, exercises and exam preparation
• Physics: mechanics, electricity, thermodynamics, general physics and problem solving
• Computer science and programming: Python, Java, algorithms, object-oriented programming, SQL, project support and practical exercises

The courses are conducted online via videoconference with screen sharing and detailed step-by-step explanations. I place great importance on a genuine understanding of the concepts and on student autonomy.

I also use modern artificial intelligence tools (such as ChatGPT and programming assistants) to help students learn more effectively, while developing their thinking skills and personal understanding.

I can help you for:
• Exam and competition preparation
• regular support
• university projects
• homework and practical exercises
• catch-up and remedial education
• Introduction to programming

Feel free to contact me to discuss your goals and level in order to set up support tailored to your needs.
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With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

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✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

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🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
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📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
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📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
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verified badge
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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?
verified badge
Laroussi
Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.
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