Learning techniques and tools for the numerical resolution of problems that arise in the applications of mathematics. The emphasis is placed on the analysis of computational aspects, such as the conditioning of the problems examined, the stability and complexity of the proposed methods. The teaching involves the use of Python/MATLAB to introduce the student to the experimental analysis of algorithms and the validation of results.