A Beginner’s Guide to Numerical Methods in MATLAB

Learn to select, apply and improve numerical methods.

This course is about Numerical Methods and covers some of the popular methods and approaches being used daily by mathematicians and everyone involved in computation.

What you’ll learn

  • Understand about the ways computer store numbers.
  • Choose the right numerical methods to solve a problem.
  • Measure (and avoid) the errors inherent in numeric calculations.
  • See how algorithms are implemented in MATLAB.

Course Content

  • Introduction –> 1 lecture • 4min.
  • Machine Representation of Numbers –> 4 lectures • 28min.
  • Basic Concepts –> 4 lectures • 17min.
  • One-Point Iterative Methods –> 8 lectures • 1hr 8min.
  • Two-Point Iterative Methods –> 3 lectures • 17min.
  • Interpolation and Curve Fitting –> 7 lectures • 1hr 21min.
  • Differentiation –> 4 lectures • 42min.
  • Integration (Quadrature) –> 5 lectures • 33min.

A Beginner's Guide to Numerical Methods in MATLAB

Requirements

  • Basic math knowledge.
  • Fundamental knowledge of computing.
  • Some familiarity with MATLAB is required to follow the examples.

This course is about Numerical Methods and covers some of the popular methods and approaches being used daily by mathematicians and everyone involved in computation.

This course will teach you about

  • How computers store numbers: what is floating point, what is precision and accuracy.
  • The kinds of errors you are likely to encounter when applying numerical methods, and how to minimize them.
  • One- and Two-Point iterative methods
  • Interpolation and Curve Fitting
  • Numerical Differentiation and Integration

This course consists of the following materials:

  • Video lectures, covering both the theory as well as demonstrating practical computer applications
  • MATLAB files that you can download and run
  • Quizzes related to the covered topics
Get Tutorial