Perspectivas do aprendizado de máquina no ensino da Engenharia Química
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Data
2021-06-28Autor
Ishida, Denise Miki Tawaraya
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Machine learning is an area of Artificial Intelligence that can predict results from a large
set of data. Therefore, many areas are already benefiting from this new technology, such as credit
analysis companies that use this mechanism for fraud detection, entertainment services for a
recommendation system and in medicine for disease diagnosis. Currently, machine learning is
not very often used in Chemical Engineering, but there are some studies with applications in the
area that demonstrate that it can be a tool with great potential for Chemical Engineering. This
work is a bibliographical review to understand more about machine learning, what is the learning
process, the main tools and studies to exemplify these possible applications of machine learning
in Chemical Engineering and emphasize its importance. Because of this potential, it is interesting
to approach the subject in the learning of Chemical Engineering so students can have greater
contact with machine learning and apply this knowledge in the industry. With this in mind, this
work suggests some changes in the curriculum of Chemical Engineering students at Universidade
Federal de São Carlos to include machine learning in the Chemical Engineering education
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