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Since April 2026
Instructor since April 2026
Programming & Computer Science Basics (Python, Web & IT Skills)
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From 36.23 $ /h
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This class is designed to introduce students to the world of programming and technology in a simple, practical, and engaging way. Whether you are completely new or already have some basics, I adapt the lessons to your level.
We will cover topics such as:
Programming fundamentals using Python
Basics of web development (HTML, CSS, simple JavaScript)
Understanding how computers and the internet work
Problem-solving and logical thinking
Small hands-on projects to apply what you learn
My teaching approach is interactive and focused on practice rather than theory. Students will build real examples step by step, making learning both fun and useful.
Extra information
No prior experience required. I will adapt the pace and content to your level and goals.
Location
location type icon
Online from Germany
About Me
I am a Computer Science and DevOps-focused tutor with a strong passion for teaching programming and technology in a clear, practical, and structured way. I enjoy helping students build confidence in problem-solving and logical thinking, especially those who are just starting their journey in coding.
My teaching style is interactive and hands-on. Instead of focusing only on theory, I guide students through real examples and small projects so they can immediately apply what they learn. I believe that every student can learn programming if the concepts are explained in a simple and patient way.
I enjoy working with students who are curious, motivated, or even completely new to programming. My goal is to make technology understandable and fun, while also building strong foundations for future studies or careers in IT.
Education
Bachelor’s degree in Computer Science
I have a strong academic background in Computer Science with a focus on software development and modern IT systems. My studies have given me a solid understanding of both theoretical foundations and practical applications in programming, algorithms, and system design.
Experience / Qualifications
Experience in Python programming, web development (HTML, CSS, JavaScript), and backend systems
Practical knowledge of DevOps tools and cloud environments
Experience building personal and academic software projects
Tutoring and mentoring students in programming fundamentals
Strong ability to explain complex technical topics in a simple and structured way
Fluent in English with clear communication skills for beginners and intermediate learners
Age
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
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
German
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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verified badge
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✔ Methodology adapted to the curricula of preparatory classes and engineering schools
✔ Intensive training on typical exercises and exams
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verified badge
doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me
verified badge
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

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verified badge
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Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

3. Thermodynamics:
Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

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Automatic Linear, Kinematic, Static.

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.
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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).

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Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

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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
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Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.
verified badge
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- 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).

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- 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.
verified badge
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The focus is on methodical thinking and understanding commonly used frameworks like OWASP and PTES. We'll not only cover theory but also look at how to apply these principles in practical scenarios and labs.
Depending on your level, we can work on:
• Introduction to cybersecurity and core concepts
• OWASP Top 10 at a beginner's level
• The different phases of PTES
• Understanding risk analysis and vulnerabilities
• Basic web application attacks in theory
• Preparation for beginner labs like TryHackMe
Each class consists of explanations of concepts, analysis of examples, and targeted practice questions. The goal is to build a strong foundation and learn to think in a structured way like a security analyst.
These classes are designed for absolute beginners or students who want to take their first steps in web security.
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This course is designed to give students practical and in-demand digital skills in Computer Science, Graphic Design, and Music Composition. Whether you are a beginner or looking to improve your existing knowledge, this class provides a hands-on learning experience focused on real-world applications.

In Computer Science, you will learn the fundamentals of computing, including Microsoft Office tools, basic programming concepts, and how to use technology effectively for productivity and problem-solving.

In Graphic Design, you will explore creative design principles and learn how to create visually appealing content using modern design tools. You will gain skills in image editing, layout design, and digital creativity useful for branding, social media, and professional projects.

In Music Composition, you will be introduced to the basics of creating and arranging music. This includes understanding sound, rhythm, and using digital tools to produce and edit audio, helping you bring your musical ideas to life.

By the end of this course, you will have developed a strong foundation across these three areas, with practical skills you can apply academically, professionally, or for personal projects.
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