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Private lessonsComputer ModelingOnline Computer Modeling lessons

78 online computer modeling teachers

78 online computer modeling teachers

Cyril - Brussels, BelgiumC$80
C$803D 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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Joana - PortugalC$50
C$50Programming and Numerical Methods - Visual Basic for Applications (VBA)
In this class, you will be learning how to use Visual Basic for Applications (VBA) to program and solve engineering problems. The type of class can be adapted to your needs, from a beginner (VBA basics) to an experienced user (advanced numerical methods). Complete Program: Programming -Introduction to Visual Basic for Applications (VBA) -Subroutines basics: variables and syntax -Indexed variables and input data -Communication Excel/VBA: read and write to/from the worksheet -Loops and conditional statements -External Functions Numerical Methods -Introduction to numerical methods: linear, non-linear equations and convergence criteria -Errors and approximations -Solving non-linear equations – Bracketing methods: Bisection and False Position -Solving non-linear equations – Iterative methods: Newton, Secant and Fixed Point -Solving systems of linear equations – Direct methods (n < 1000): Gauss Elimination and LU Decomposition -Solving systems of linear equations – Direct methods (n < 3): Substitution method and Crame Rule -Solving systems of linear equations – Direct methods (Tridiagonal matrices): Thomas algorithm -Solving systems of linear equations – Iterative methods (large matrices): Jacobi, Gauss-Seidel -Solving systems of linear equations – Gauss-Seidel convergence and relaxations -Solving systems of non-linear equations – Newton and Fixed-point -Differentiation: Taylor series and approximations -Differentiation: first and second order differences: centred, forward and backward -Integration: Lagrange interpolating polynomials -Integration: Trapezoidal, Simpson’s 1/3, Simpson’s 3/8 Rules -Integration: Composite rules Advanced Numerical Methods -Introduction to ODE’s and PDE’s -Solving ODE’s – Initial Value Problems: Euler and Runge-Kutta -Solving ODE’s – Boundary Value Problems: Shooting Method, Finite Differences -Solving ODE’s – Finite Differences for linear BVP: Gauss and Thomas -Solving ODE’s – Finite Differences for non-linear BVP: Newton-Raphson, Gauss-Seidel -Solving PDE’s – Discretization and transformation into SODE -Solving PDE’s – Application to Elliptic and Navier-Stokes -Solving PDE’s – SEDO’s Stiff problems: Runge-Kutta and Predictor/Corrector methods.
Engineering · Computer modeling
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