Aplicación web para la gestión de la información de la Comisión de Grados Científicos de la Universidad de Sancti Spíritus José Martí Pérez
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Universidad de Sancti Spíritus "José Martí Pérez"
Abstract
La Universidad "José Martí Pérez" de Sancti Spíritus enfrenta retos significativos en la gestión
de la información relacionada con los programas de doctorado. La dispersión de datos en
formatos diversos y su almacenamiento en locales físicos aislados dificultan la elaboración de
informes y el acceso a información sobre los doctorandos y sus tesis, limitando así la eficiencia
en la toma de decisiones y el seguimiento del desarrollo académico. Este trabajo propone el
desarrollo de una Aplicación Web que optimice esta gestión, permitiendo centralizar y organizar
los datos para facilitar el acceso a información relevante sobre los programas de doctorado,
los expedientes de los doctorandos y las tesis defendidas. Se espera que esta herramienta no
solo mejore la eficiencia administrativa, sino que también contribuya al avance científico en
la universidad. Se empleó la metodología RUP, utilizando UML como lenguaje de modelado.
Para el backend se seleccionaron JavaScript con el framework Express y Sequelize; para el
frontend, TypeScript con React y Next, apoyándose en PostgreSQL como sistema de gestión
de bases de datos. La estructura del trabajo incluye una fundamentación teórica que aborda el
proceso de formación doctoral y los sistemas existentes, así como una propuesta detallada que
incluye requisitos funcionales y no funcionales.
The "José Martí Pérez" University of Sancti Spíritus faces significant challenges in managing information related to its doctoral programs. The dispersion of data in various formats and its storage in physically isolated locations hinder the preparation of reports and access to information about doctoral candidates and their theses, thus limiting efficiency in decision-making and monitoring academic development. This work proposes the development of a Web Application that optimizes this management, allowing for the centralization and organization of data to facilitate access to relevant information about doctoral programs, the files of doctoral candidates, and defended theses. It is expected that this tool will not only improve administrative efficiency but also contribute to scientific advancement at the university. The RUP methodology was employed, using UML as the modeling language. For the backend, JavaScript with the Express and Sequelize frameworks was selected; for the frontend, TypeScript with React and Next, supported by PostgreSQL as the database management system. The structure of the work includes a theoretical foundation that addresses the doctoral training process and existing systems, as well as a detailed proposal that includes functional and non-functional requirements.
The "José Martí Pérez" University of Sancti Spíritus faces significant challenges in managing information related to its doctoral programs. The dispersion of data in various formats and its storage in physically isolated locations hinder the preparation of reports and access to information about doctoral candidates and their theses, thus limiting efficiency in decision-making and monitoring academic development. This work proposes the development of a Web Application that optimizes this management, allowing for the centralization and organization of data to facilitate access to relevant information about doctoral programs, the files of doctoral candidates, and defended theses. It is expected that this tool will not only improve administrative efficiency but also contribute to scientific advancement at the university. The RUP methodology was employed, using UML as the modeling language. For the backend, JavaScript with the Express and Sequelize frameworks was selected; for the frontend, TypeScript with React and Next, supported by PostgreSQL as the database management system. The structure of the work includes a theoretical foundation that addresses the doctoral training process and existing systems, as well as a detailed proposal that includes functional and non-functional requirements.