Computer modeling lessons in United States

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1 computer modeling teacher in United States

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1 computer modeling teacher in United States

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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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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 32 reviews.

Blender 3.x, by Linkedin learning trusted instructor. (Tournai)
Martin
First two hours done with Martin. It was a chill environment and he is someone easy to interact with and you can feel he have experience giving lessons. I learned what was the purpose of this introduction to blender and the lesson was custom to my needs. We have planned another one and so should you, as he is a good teacher take time to listen to your needs and assess what should help you in your learning.
Review by VINCENT
Data science , Analytics, Machin learning, statistics
Srinivas
Srinivas is a skilled tutor. He is patient and has a problem-solving attitude. Shriniva's goal is that students master the subject. An excellent tutor for someone that wants to work hard and become independant user.
Review by IFI
Statistics, Econometrics and Data science - Programming with R & Python, Stata (Paris)
Zakarya
An amazing tutor, put a lot of time and effort into preparing material both before and even after the lesson. Clear explanations and extremely helpful in all aspects.
Review by MELAF

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