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A graduate of the University of Salzburg (BSc) offers tutoring in computer science. I provide assistance with problems in the following programming languages: C/C++, Java, PHP, HTML/CSS, Python, as well as in the following CMS: WordPress, WooCommerce. I also offer support with the basics of operating systems (Linux, macOS, Unix) and assistance with software installation and troubleshooting. Group or online lessons available upon request. Lessons take place in the heart of Salzburg's old town.

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Blockchain technology is a short term with an enormous depth of meaning. Decentralized, censorship and manipulation-resistant and tamper-proof networks are the future of many everyday processes and that already today, even if most of them may not be aware of it. Using the example of Bitcoin, this course is intended to illustrate why blockchain has enormous disruptive potential for many important fields of application in everyday life and why it will no longer be a part of our lives in the future. In terms of content, it should be explained on a logical and predominantly non-technical level how the security of a blockchain network is created, maintained and why manipulation is not possible here - which explains the use and importance of this technology.

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This class is suitable for students that want to start their careers in the Computer Science domain. My goal is to help students in different Computer Science fields like Programming (C/C++, Python, Java, Databases), Artificial Intelligence (Machine Learning, Computer Vision), doing homework or personal projects. My goal is to prepare practical sessions for you with many exercises and theoretical parts in order to understand the important things by implementing different tasks. I have experience in teaching (6 years in a private IT Academy and at my University as a Teaching Assistant). I am working, also, with children (8-13 years old) in Scratch Programming Language. If your children want to start doing easy visual games suitable for their age, this is the best Programming tool.

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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. Expertise & Teaching Areas: ✅ 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 Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

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While adults are still debating whether kids should use AI, they are already using it. The question isn't "should they?" it's "how do we do it intelligently?" In this course, your child will discover: ✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't ✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it ✓ What LLMs are (Large Language Models): in language they understand, not tech jargon ✓ Create with AI: custom avatars, interactive stories, real projects using real tools ✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do? ✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life Why this is different: Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI. Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits. And, more importantly: that they can control how they use it. What they take home: Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively. Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace For curious kids asking "How does ChatGPT actually know things?"

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This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed. 1. Mechanics: 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. 4. Industrial sciences: Automatic Linear, Kinematic, Static. For more information and to register for the preparation session, please contact me. Good preparation and success in your studies! .

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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.

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Is artificial intelligence just for adults? No! A course for children and teenagers who already see AI in Netflix, games or ChatGPT and want to understand what it is, how it "thinks" and how to use it without getting into trouble. In class, the student acts as a detective: • Myth Busters: What is real AI and what just looks like AI • Train a toy AI: simple examples of machine learning (data, hits, biases) • Asks its first well-formulated questions to a generative tool for a short story or image • Learn the rules at home and at school: privacy, copying homework, what not to paste into a tool You don't need to know how to program. It's good enough to test things out. If it works out, we'll continue with projects (stories, art, games) at its own pace. Recommended age: 10–14 years. Also 8–9 if they read fluently and can handle an online class; 15–17 if they want to start from scratch with a critical mind, not just "try ChatGPT".