a, an, the Design, Implementation, and Validation of a University Data Analysis Laboratory Based on Mathematical Modeling and Applied Statistics Techniques

Development and evaluation of advanced statistical methodologies and tools for solving complex problems in the academic and professional field.

Authors

  • Jefferson Agustín Macías Bravo UNIVERSIDAD TECNICA DE MANABI
  • Wilson Fabián Chávez Rodríguez UNIVERSIDAD TECNICA DE MANABI
  • Yandri Francinet Guerrero Alcívar UNIVERSIDAD TECNICA DE MANABI

DOI:

https://doi.org/10.37117/s.v28i1.1272

Keywords:

Data analysis, Mathematical modeling, Higher education, Open-source software, University laboratory, Applied mathematics, Educational infrastructure, Project-based learning.

Abstract

This paper proposes the design of a University Laboratory for Data Analysis aimed at strengthening training in mathematical modeling and applied statistics within Applied Mathematics programs. The model relies on a local infrastructure of eight student workstations and a master node, interconnected via a managed switch, and exclusively employs open-source software such as Python, R, Hadoop, Spark, Hive, and Power BI to simulate a distributed computing environment without reliance on cloud services or commercial licenses. The design integrates the complete data analysis cycle from data ingestion and cleaning to visualization and interpretation aligning with the educational needs of data science training in resource-constrained higher education settings. Although the laboratory has not yet been implemented or empirically evaluated, its architecture adheres to principles of accessibility, reproducibility, and progressive scalability, offering a viable technical-pedagogical framework for future deployment in universities. The approach seeks to bridge the gap between mathematical theory and analytical practice, fostering essential technical and cognitive competencies for contemporary quantitative analysis.

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Published

2026-06-30

How to Cite

Macías Bravo, J. A., Chávez Rodríguez, . W. F., & Guerrero Alcívar, Y. F. . (2026). a, an, the Design, Implementation, and Validation of a University Data Analysis Laboratory Based on Mathematical Modeling and Applied Statistics Techniques: Development and evaluation of advanced statistical methodologies and tools for solving complex problems in the academic and professional field. Sinapsis, 28(1), 9. https://doi.org/10.37117/s.v28i1.1272

Issue

Vol. 28 No. 1 (2026): Translation, Culture and Innovation in Knowledge Building

Section

Information and Communication Technologies

License

Copyright (c) 2026 Jefferson Agustín Macías Bravo, Wilson Fabián Chávez Rodríguez, Yandri Francinet Guerrero Alcívar

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