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Dhia - Écublens, SwitzerlandC$95
C$95EPFL Student-Researcher | Fundamental & Applied Mathematics, Physics, AI
As an engineering student at École des Ponts et Chaussées (Paris) and researcher in mathematics applied to AI at EPFL, I offer private tutoring in fundamental and applied mathematics for various levels: - Secondary school (Vaud) - University Bachelor's degree (Vaud) - Classes Préparatoires aux Grandes Écoles (France) My teaching approach, focused on deep understanding and scientific curiosity, has enabled my students to achieve excellent academic results and develop true autonomy. I also teach physics, chemistry, and computer science (Python, algorithms, Machine Learning). In limited cases, I provide project assistance and teach Modern Standard Arabic. Available via video conference or in Lausanne (depending on availability), I provide personalized support according to your specific needs, whether for regular follow-up or intensive courses with the goal of excelling, not just passing. My students have excelled in Brevet, Baccalaureate, bachelor's programs, preparatory school competitions, and scientific projects. Many have gained enough independence to no longer need support after a year and a half. For my part, I obtained my Baccalaureate in 2020 with an average of 18/20. I also completed intensive preparatory classes in MPSI-MP** before joining École des Ponts et Chaussées, then EPFL for research.
Computer science · Math · Physics
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أبوبكر - Castleford, United KingdomC$29
C$29, Maths, CAD Auto desk inventor, Mechanical Engineering
Mechanical engineering topics is a broad field that covers various related to the design, analysis, and manufacturing of mechanical systems. Here's a brief overview of the core subjects you would typically study during a mechanical engineering program at university: Mathematics: Calculus: For understanding changes in systems, modeling dynamic behavior, and analyzing forces and motions. Linear Algebra: Used for solving systems of equations, matrix operations, and structural analysis. Differential Equations: Essential for modeling physical systems that change over time (eg, motion, heat, fluid flow). Probability and Statistics: For analyzing data, reliability, and risks in engineering systems. Physics: Mechanics: Studying the forces and motion in solid bodies (statics and dynamics). Thermodynamics: Understanding energy systems, heat transfer, and the conversion of energy between mechanical forms. Fluid Mechanics: Focuses on the behavior of fluids (liquids and gases) in motion and at rest, which is essential for systems like pumps, engines, and turbines. Material Science: Exploring the properties of materials and how they behave under various conditions (stress, temperature, etc.). Statics and Dynamics: Statics: Study of forces in equilibrium, such as the forces on structures or machines that are not moving. Dynamics: Study of forces and motion in systems that are in motion, including vibrations, acceleration, and kinematics. Strength of Materials: Learning how materials respond to various forces, including stress, strain, bending, and torsion. This is essential for designing durable and safe structures and machines. Manufacturing Processes: Understanding different manufacturing techniques such as casting, welding, machining, 3D printing, and material forming. Concepts of production planning, quality control, and design for manufacturability. Control Systems: Study of systems that maintain desired outputs (eg, in robotics or automated systems). This includes understanding feedback loops and stability. Machine Design: Focus on designing mechanical components (gears, shafts, bearings) to perform specific tasks reliably and efficiently. Heat Transfer: Studying how heat moves through materials and fluids, which is critical for applications like engines, HVAC systems, and electronics cooling. Dynamics of Machinery: The study of moving mechanical components, their vibrations, and how to design them to minimize failure and wear. Computational Methods: Learning how to use software tools (like CAD, FEM, and CFD) for designing, simulating, and analyzing mechanical systems. Robotics and Automation: Study of robotic systems, automation in manufacturing, and how to integrate mechanical components with electronic control systems. Renewable Energy and Sustainability: Topics related to sustainable engineering solutions, energy-efficient systems, and the use of renewable energy sources (wind, solar, etc.).
Cad software · Science · Mechanical engineering
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Cyril - Brussels, BelgiumC$77
C$773D Modeling Course with Rhino and Grasshopper
Course description: This comprehensive course is designed for architects, designers, engineers, and creatives who are passionate about 3D modeling and parametrics. You will learn to master Rhino 3D, a powerful 3D modeling software, as well as Grasshopper, a parametric plugin that allows you to generate complex shapes using visual programming. Course objectives: Learn how to use Rhino's basic and advanced tools to create accurate and detailed 3D models. Master the concepts of parametric modeling using Grasshopper to generate dynamic and adaptive shapes. Understand how Rhino and Grasshopper integrate to automate design processes and improve efficiency. Create real-world projects ranging from designing simple geometric shapes to complex, custom structures. Course content : Introduction to Rhino 3D: Interface, basic commands, and navigation in the 3D workspace. Advanced modeling techniques: Creation of surfaces, solids and networks of curves. Introduction to Grasshopper: Understanding the logic of visual programming and its applications in parametric design. Parametric Design: Using Grasshopper to create complex shapes based on variables and constraints. Practical application: Completing a complete project by combining Rhino and Grasshopper, from design to completion. Prerequisites: No specific prerequisites are necessary for this course. However, a basic knowledge of 3D design or modeling software is a plus. Target audience : Architects and designers wishing to deepen their skills in 3D modeling and parametric design. Engineers and technicians interested in design automation and the integration of digital solutions into their creative process. Methodology: The course combines theoretical explanations with practical exercises and case studies. Question-and-answer sessions and workshops will allow participants to work on personal projects throughout the training.
Computer modeling · Cad software · Computer engineering
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Nwafor - NigeriaC$57
C$57Comprehensive AI & Coding Guide: Teaching Generative AI (ChatGPT, Claude, LLaMA) with Python, React, Node.js, JavaScript & Beginner-Friendly
This course is designed to introduce students of all levels—ranging from young children to university students—to the exciting world of artificial intelligence and programming. Whether you're a beginner exploring coding for the first time or an advanced student eager to dive into AI development, this course provides a structured and engaging learning experience. What You'll Learn: ✅ AI & Generative Models – Understand and interact with AI models like ChatGPT, Claude, and LLaMA. ✅ Programming Foundations – Learn Python, JavaScript, and beginner-friendly coding concepts tailored for young learners. ✅ Web Development – Build interactive applications using React and Node.js. ✅ Prompt Engineering – Master techniques for crafting effective AI prompts to get the best responses. ✅ Hands-on Projects – Work on real-world projects that reinforce learning and creativity. What to Expect: 📌 Beginner-Friendly & Advanced Tracks – Tailored lessons for different age groups and skill levels. 📌 Interactive Coding Sessions – Learn by doing with engaging exercises and projects. 📌 AI-Powered Applications – Create your own AI-driven chatbots and web apps. 📌 Fun & Engaging Learning – A creative and dynamic approach to programming and AI. By the end of this course, students will have a strong foundation in coding, AI concepts, and web development, empowering them to build innovative projects and explore the future of technology. 🚀
Computer programming
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