Tratamento de dados: uma abordagem prática para aprendizagem de atenuação de ruídos e eliminação de outliers

Abstract

: The topic of data processing involves different concepts and has practical application in real engineering problems. Therefore, it is important that the student experiences practical activities on this subject. With this in mind, this paper aims to present a practical approach for teaching, based on the Problem-Based Learning strategy, to evolve the student in a real problem. To achieve this, we propose an electronic circuit to perform practical classes based on outliers removal techniques and filters for noise attenuation. The circuit performs temperature measurement and adds noise to the signal. From this approach, the student faces the following problem: how to apply data processing techniques to transform, as close as possible, the signal containing noise in the original signal? To perform the comparison of results, we suggest two metrics: Root Mean Square Error and Mean Absolute Error.