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I am a second-year master's student in Data Science at EPFL. I completed my bachelor's degree in computer science, where I studied analysis I–IV, linear algebra, probability, and stochastic processes. I also took several programming courses in the following languages: Python, C, assembler, Scala, and Java. I have been a mathematics assistant for four years and this year I am also a programming assistant at EPFL.

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I am here to help you with homework or class exercises that you struggled with, and review the course if necessary, as well as teach techniques to facilitate understanding and resolution. With my experience as a student assistant at EPFL, I can help you find your own blockage and I correct you if there is something that is not right at this level. If you get stuck, I ask you questions to guide you towards the solution without telling you directly. If that is not enough, we do the exercise together in a guided way in the hope that you will be able to solve an exercise of the same type alone in the future. I can also find interesting exercises based on your gaps. All students up to and including a university bachelor's level are welcome. Classes are held online via Zoom or in person. I use screen sharing in the case of Zoom, and I can show you my personal type of resolution.

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Do you want to get started with programming but don't know how to do it? Or else do you already have good POO basics and would like to develop them further? This course will provide you with exactly what you need! For beginners, this course basically consists of three parts. The first is an introduction to object oriented programming where concepts of OOP will be presented and explained to you in great detail. The second part will focus on the practice of these notions in the Java language (It is in this part that you will learn how to program). Learning programming will necessarily require an alternation between theory and practice, so the first two parts are not independent. However, the third part is. The latter will be an implementation of the knowledge that you will have acquired to produce a small program deemed suitable for your level. For non-beginners who are already comfortable with the basic concepts of OOP and who already know how to program properly in Java, this course will present a little more advanced content and which will consist of chapters alternating between theory and practice : 1 / abstract classes 2 / interfaces 3 / enumerations 4 / exception handling 5 / lambda expressions 6 / functional programming 7 / generic programming 8 / Collections 9 / graphic programming

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I give tutoring in math, physics, algorithms and programming. As a final year student in telecommunications engineering and with many years of experience in support of schoolchildren, college students and apprentices, I help you pass your exams and tests. Weekly follow-up and proven experience with alumni.

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Currently in master of Bioengineering at EPFL, I offer my help for your science courses in general and more specifically in mathematics (Basic Mathematics, Analysis, Probability, etc.). If you want to get started in programming, I can also teach you the basics of coding in C ++, Python and Java. The goal is to give you the keys to progress and feel more comfortable in the subject, all in good mood and at your own pace.

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As a Master's student in data science, I had to learn to code in different languages during my academic career. I have experience in Python, Java, Scala, C, Assembly and SQL. I can teach algorithmic logic as well as networks. I have knowledge in security and privacy. I can teach object-oriented, system-oriented and functional programming.

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Currently finishing my master's degree in Computer Science at EPFL, I am offering readings from beginners to advanced in Mathematics (calculus, algebra, geometry, statistics ...) and Programming / Computer Science (Languages: C / C ++, Python, Java, Scala, R ..., Algorithms, Paradigms ...). I also teach high school Physics and Chemistry. I want to experience personalized and integrated knowledge and deep knowledge and solidify knowledge and motivation for science. Currently in the final year of a Master's degree in Computer Science at EPFL, I propose courses of support and deepening for all levels in Mathematics (algebra, analysis, arithmetic, geometry, statistics ...), Physics as well as Computer Science and Programming. Pedagogue and motivated, I aspire to transmit passion and knowledge through a personalized and attentive education.

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Are you looking to improve your math or programming skills, gain confidence before an exam, or simply deepen your knowledge? My name is Pierre-Hadrien, a Data Science graduate engineer from EPF. I offer private tutoring in mathematics, programming and computer science remotely (Zoom/Teams) for students from middle school, high school, high school, and up to university master's level. --> What I propose: - Academic support and exam preparation (high school diploma, bachelor's degree) - Homework help and targeted revision (with revision sheets if needed) - Advanced studies in analysis, algebra, probability, and statistics - Learning and projects in Java, C, Scala, Python, SQL, VHDL, etc... - Courses tailored to your objectives (refresher courses, advanced training, getting ahead) --> My experience: - 4 years of private tutoring experience (math, computer science, physics) - Coach for first-year students at EPFL - Teaching assistant to professors in EPFL master's level courses for 3 years (student support, marking papers, etc.) - Catamaran and windsurfing instructor during the summer --> My approach consists of explaining concepts clearly and progressively, providing effective working methods and concrete examples to permanently anchor the concepts. - Format: Online course (Zoom, Teams, Google Meet) Whether you need a boost to pass your exams or want to get a head start, I'd be delighted to help you achieve your goals. See you soon!

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16Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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2Students

This module is a crucial step for any web developer wishing to move from simple DOM manipulation to mastering modern frameworks. The objective is clear: to understand the "invisible foundations" of the language in order to write shorter, more readable code and, above all, be ready to code professionally in React. 🎯 Training Objectives 1- Demystify the modern syntax (ES6+) often used in React. 2- Increase efficiency by using the most powerful syntactic shortcuts. 3- Secure your code to avoid frequent bugs related to missing data. 4- Mastering asynchronicity to manage data calls (API). 📖 Detailed program content The course is divided into 13 key concepts, illustrated by comparative examples (classic syntax vs. modern syntax) and concrete use cases in React: 1- Ease of writing: Use of Template Literals (`backticks`) for dynamic character strings and Shorthand property names to simplify the creation of objects. 2- Logic and Functions: Mastery of Arrow => Functions (arrow functions) and their implicit return, essential for React components and hooks. Data manipulation: 1- Destructuring (decomposition) to properly extract data from objects and arrays (e.g., Props and States). 2- Rest & Spread Operators (...) to copy arrays or merge objects without modifying the original (concept of immutability). Code robustness: 1- Managing default parameter values. 2- Advanced security with Optional Chaining (?.) and Nullish Coalescing (??) to prevent application crashes. 3- Functional Programming: Intensive use of array methods (.map(), .filter(), .reduce(), .find()) to transform data into user interfaces. 4- Architecture and Asynchronism: Code organization via modules (Import/Export) and API request management with Promises and Async/Await. 🛠️ Teaching method: "Learning by doing" This course is not just about theory. It includes: The "Interstellar Dashboard" Exercise: A 15-minute thematic case study where students manipulate data from space missions. This allows them to immediately apply destructuring, filtering, and asynchronicity to a real-world project. The Interactive Quiz: A series of 10 questions designed to validate understanding of each concept before moving on. Each question presents real-world scenarios that developers will encounter in React. 🚀 Learner's result By the end of this course, students will not only "know" JavaScript; they will understand why and how each syntax is used to build efficient React components. They will leave with a solid foundation to confidently tackle Hooks (useState, useEffect) and complex state management. Format: Clean visual presentation, coloured syntax for code, and focus on readability.

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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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2Students

Engineer in engineering sciences option electrical engineering Senior professor of engineering sciences SKILLS IS engineering sciences Embedded system (microcontrollers, z80 microprocessors, Motorola, ARM), Real-time system, network concept (OSI, TCP/IP), design of systems and electronic cards (analog, digital, power supply), signal processing, communication protocols ( SPI, I2C, CAN BUS, UART...), telecommunications. Technical skills : Languages: C / C ++, JAVA, VHDL / VERILOG, Python, Assembler. Professional software: MATLAB, SIS + PSIM + PSpice, QUARTUS, IDE68, Mikro C, Xilinix ISE, Labview, CoIDE. Technologies: Siemens PLC, Allen bradeley, STM32, FPGA, TIA Portal, STEP7, RSLogix  Electrical engineering: Electric motors, Transformers  Renewable energies: study of the solar pumping installation and the wind turbine installation.  Electronics: analog, digital, power electronics, system electronics and instrumentation biomedical.  Networks and telecommunications.  Industrial IT and programmable logic controllers.  Automatic: modeling, identification and control of systems.  Mechatronics.  MATLAB • Noise and vibration of asynchronous motors • Speed variator • Study and implementation of LV / MV standards • Electrical accreditation: NF C18-510 standard • NF C 15-100 electrical installations • Management of electrical energy in networks (Continuous Power Flow)