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Teaching Web Programming Using the MEAN Stack

  • Luis Mendes GomesEmail author
  • Francisco Martins
  • Hélia Guerra
Conference paper
  • 20 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1135)

Abstract

Web programming is a mandatory course in the syllabus of any BSc degree in Informatics Engineering. But, nowadays, designing and teaching an up-to-date web programming course is a very demanding challenge due to the fast technological advances that imposes a continuous update of the concepts, techniques, and tools. Nowadays, from a professional perspective, web development is starting to converge on merging front-end and back-end development. This requires new skills for web developers, traditionally separated into two groups (front-end and back-end), that are still not accompanied by academia web programming courses. This future trend motivates us for designing a higher education course that combines Web design and server-side programming skills in a unified full-stack of Web technologies to develop modern web applications. The paper intends to present and discuss a new higher education course for a curricular unit in Web programming of a degree in Informatics in the European higher education system. The course is aligned with the new trends, providing students with fundamentals and basic skills in the development of Web applications, using the full-stack approach to Web development supported by the MEAN stack architecture.

Keywords

Higher education BSc Informatics engineering Web programming Full-stack MEAN architecture 

Notes

Acknowledgments

We would like to thank our students of the BSc degree in Informatics for their suggestions and feedback, in the first edition of a course based on this approach. This work was partially supported by FCT through funding of LASIGE Research Unit, ref. UID/CEC/00408/2019, of ALGORITMI Research Unit project scope ref. UID/CEC/00319/2019, and by Secretaria Regional do Mar, Ciência e Tecnologia, project scope ref. M1.1.a/014/Funcionamento/2018.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Luis Mendes Gomes
    • 1
    • 2
    Email author
  • Francisco Martins
    • 1
    • 3
  • Hélia Guerra
    • 1
    • 2
  1. 1.NIDeS – University of the AzoresPonta DelgadaPortugal
  2. 2.Centro Algoritmi – University of MinhoBragaPortugal
  3. 3.LASIGE – Faculty of SciencesUniversity of LisbonLisbonPortugal

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