GENERAL DESCRIPTION:

The course consists of two main parts: programming foundations and numerical methods applied to engineering. Below is a detailed description of each of these parts:

Programming Foundations: In this part of the course, the basic concepts of programming using MATLAB as a programming language are covered. Some topics that may be included are:

Introduction to MATLAB and its development environment. Syntax and control structures in MATLAB (loops, conditionals, functions). Manipulation of matrices and vectors in MATLAB. Input and output of data in MATLAB. Data manipulation and visualization. The aim of this part of the course is to provide students with the programming foundations necessary to understand and develop numerical algorithms in MATLAB.

Numerical Methods Applied to Engineering: In this part of the course, the numerical methods used to solve engineering problems are introduced and applied through programming in MATLAB. Some topics that may be addressed include:

Solution of nonlinear equations: bisection method, Newton-Raphson method. Solution of linear equation systems: Gaussian elimination, LU decomposition. Interpolation and curve fitting. Numerical integration methods: trapezoidal rule, Simpson's rule.

During this part of the course, students apply the programming concepts learned previously to implement the numerical algorithms in MATLAB.

Overall, the course aims to provide students with the necessary skills to use MATLAB as a tool for numerical problem-solving and to implement numerical algorithms in various engineering fields.

The student is required to bring their personal computer to class with MATLAB properly installed.