Numerical Methods for Engineers

This course is part of Mathematics for Engineers Specialization

Instructor: Jeffrey R. Chasnov

What you'll learn

  •   MATLAB and the foundations of scientific computing
  •   Root finding methods such as Newton's method, and numerical linear algebra using the LU decomposition
  •   Integration methods such as adaptive quadrature, and interpolation algorithms using a cubic spline
  •   Numerical methods for solving ODEs, such as Runge-Kutta, and the finite difference method for solving PDEs
  • Skills you'll gain

  •   Linear Algebra
  •   Scientific Visualization
  •   Scripting
  •   Matlab
  •   Programming Principles
  •   Integral Calculus
  •   Applied Mathematics
  •   Mathematical Modeling
  •   Computational Thinking
  •   Plot (Graphics)
  •   Simulations
  •   Calculus
  •   Numerical Analysis
  •   Engineering Calculations
  •   Differential Equations
  •   Mathematical Software
  •   Engineering Analysis
  •   Simulation and Simulation Software
  •   Estimation
  •   Algorithms
  • There are 6 modules in this course

    We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. They should have a working knowledge of a programming language, and be willing to learn MATLAB. The course contains 74 short lecture videos and MATLAB demonstrations. After each lecture or demonstration, there are problems to solve or programs to write. The course is organized into six weeks, and at the end of each week, there is an assessed quiz and a longer programming project. Download the lecture notes from the link https://www.math.hkust.edu.hk/~machas/numerical-methods-for-engineers.pdf And watch the promotional video from the link https://youtu.be/qFJGMBDfFMY

    Root Finding

    Matrix Algebra

    Quadrature and Interpolation

    Ordinary Differential Equations

    Partial Differential Equations

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