FRRo - I+D+i - Artículos en Revistas

Permanent URI for this collectionhttp://48.217.138.120/handle/20.500.12272/1297

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Author: search.filters.author.Gago, Eduardo AlbertoSubject: search.filters.subject.Recursos educativos

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    Computational engineering: mathematical models in heat flow dynamics study.
    (WSEAS, 2022) Gago, Eduardo Alberto; D’Alessandro, Lucas Iván; Zurbriggen, Marcelo M.
    According to the latest educational innovation trends in engineering, new teaching paradigms emerge to achieve higher development in intellectual capacities, acquisition of skills, substitution of outdated techniques for more efficient and fast means, and a better integration of knowledge in the teaching and learning processes. In line with these paradigms, we have set up new pedagogic methodologies together with computer resources to work with the development of functions with a complex variable and Laplace transform from a multidisciplinary view in the subject Advanced Calculus of the Mechanical Engineering Programme. The didactic proposal presented is about systems related with heat transfer in a fluid where the concepts used in the models are approached analytically and graphically making the curricular content meaningful and facilitating the interpretation and conceptualization of the theory.
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    Teaching and learning computational mathematics with intensive application of the virtual campus.
    (WSEAS, 2023) Gago, Eduardo Alberto
    Nowadays, the field of professional development in engineering requires appropriate and relevant training for a satisfactory insertion in the labor market. This requires that educational institutions provide not only the specific knowledge of the career being studied but also must complement it with other skills necessary for adequate performance in the work environment. Based on these premises, this paper describes the design of a classroom experience to be implemented in the subject of Advanced Calculus (AC), a third-level subject of the Mechanical Engineering course. The proposed activities are developed in the Computer and Multidisciplinary Laboratory of Basic Sciences available at the faculty and seek to encourage the use of the virtual campus, where the mediation between the content of the subject and the concrete applications of simple engineering models are the axis to develop the topic: Analytical Functions of Complex Variables (AFCV).