This course, consisting of 19 video tutorial lessons in English for a total of 20 hours’ material, is addressed to students who utilise the Matlab programming and computing platform in their degree programmes and intend to deepen their knowledge or gain extra multimedia support while learning how to use it. 

The material, created for the EDUC alliance by Prof. Giuseppe Rodriguez, Caterina Fenu and Alessandro Buccini with the support of the EFIS centre, is available free for students from all the degree programmes on the EDUC Moodle platform. Course contents are available to this link

https://learning.educalliance.eu/course/view.php?id=184

To access this link, please use your university credentials and proceed to sign up to the course.

Aims and contents of the course.

The aim of the course is to offer a full analysis of the Matlab numeric and computing environment, dealing with its various aspects, from the numeric analysis to the understanding of the software functions offering new prompts and methods of application.

First part:

1) Introduction to Matlab

2) Matrix creation and manipulation

3) Coding with Matlab

4) Floating point arithmetic

5) Linear algebra (part 1)

6) Linear algebra (part 2)

7) Direct methods for the solution of linear systems (part 1)

8) Direct methods for the solutions of linear systems (part 2)

Second part:

1) QR factorization for the solution of linear system of equations

2) Polynomial interpolation of functions

3) Least-Squares approximation of functions

4) Bisection method for the solution of non-linear equations

5) Newton's Method for the solution of non-linear equations: theoretical aspects

6) Newton's Method for the solution of non-linear equations: implementation and numerical experiments

7) Regula Falsi for the solution of non-linear equations

8) Iterative methods for the solution of linear systems of equations: Introduction

9) Iterative methods for the solution of linear systems of equations: Jacobi & Gauss-Seidel

10) Euler's method for the solution of Ordinary Differential Equations

11) Boundary problems

For any further information or technical problems, please contact EDUC staff: educ@unica.it