Microcredencial para estudiantes de física

Authors

DOI:

https://doi.org/10.20983/culcyt.2024.3.2e.4

Keywords:

microcertificación, plan de estudios de física, aprendizaje de máquina, inteligencia artificial

Abstract

Este artículo describe los beneficios del uso de microcertificaciones para complementar los cursos de licenciatura en física. Se describe un programa de microcertificación desarrollado para el programa de licenciatura en física en la Universidad de Texas en El Paso, incluyendo módulos creados por el grupo Data Science Community of Practice (DSCOP), parte del grupo de Ciencia de Datos de la American Physical Society, sobre temas de ciencia de datos, aprendizaje de máquina e inteligencia artificial aplicados a temas de física.

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Author Biographies

Jorge A. López, University of Texas at El Paso

Professor (Physics), University of Texas at El Paso, Department of Physics

Jorge A. Muñoz, University of Texas at El Paso

Assistant Professor (Physics), University of Texas at El Paso, Department of Physics
Senior Research Scientist (Algorithms Pathfinding), Intel Corporation: Hillsboro, OR, US

References

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C. Sullivan. “Microcredentials Unleashed: Pioneering the Next Frontier.” The evolution. Accessed: Oct. 12, 2024. [Online]. Available: https://evolllution.com/microcredentials-unleashed-pioneering-the-next-frontier

V. Agarwal. “How Companies Like Meta, IBM, AWS & Netflix Are Using Microcredentials To Bridge Talent Gaps.” LinkedIn. Accessed: Oct. 12, 2024. [Online]. Available: https://www.linkedin.com/pulse/how-companies-like-meta-ibm-aws-netflix-using-bridge-talent-agarwal

“Data Science Community of Practice.” DSECOP.org. Accessed: Jul. 23, 2024. [Online]. Available: https://dsecop.org/

“GDS Education Community of Practice.” Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP

“Exploratory Data Analysis.” Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP/tree/main/Exploratory_Data_Analysis

“DSECOP Github: Parameter Estimation of RLC Circuit Model with Automatic Differentiation and Gradient Descent”. Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP/tree/main/Automatic_Differentiation

“Introduction to Classification Algorithms”. Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP/tree/main/Intro_to_Classification_Algorithms

“Connecting MonteCarlo to ModernAI.” Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP/tree/main/Connecting_MonteCarlo_to_ModernAI

K. Shah. “Learning the Schrödinger Equation.” Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP/tree/main/Learning_the_Schrodinger_Equation

“Deep Learning Applications in NMR Spectroscopy.” Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP/tree/main/NMR_Deep_Learning

K. Shah. “Gaussian Processes and the Schrödinger Equation.” Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/GDS-Education-Community-of-Practice/DSECOP/tree/main/Gaussian_Processes_and_Schrodinger_Equation

J. A Muñoz et al. “Mechanics: projects and exercises in Python.” Github.com. Accessed: Jul. 23, 2024. [Online]. Available: https://github.com/jamunozlab/introductory_mechanics_spring_2023

“CLASS (Colorado Learning Attitudes about Science Survey).” Colorado.edu. Accessed: Oct. 12, 2024. [Online]. Available: https://www.colorado.edu/sei/class

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Published

2024-11-22

How to Cite

[1]
. J. A. López and J. A. Muñoz, “Microcredencial para estudiantes de física”, Cult. Científ. y Tecnol., vol. 21, no. 3, pp. E40-E48, Nov. 2024.

Issue

Section

Edición Especial "Aprendizaje Integral a lo Largo de la Vida"