Didactics for Learning Algorithms

José María Dueñas Meza, ; Jaime José Valdés Benjumea, ; María Consuelo Rodríguez Niño,

Synopsis

The book “Didáctica para el aprendizaje de algoritmos” (Didactics for learning algorithms) arises as a methodological tool that supports the teaching and learning process of students to master the presentation and resolution of problems to provide computer solutions through algorithms; in this sense, it is emphasized that its study requires a lot of discipline and dedication. This book is based on the interest in the methodology of teaching a subject that, at the beginning, many students see as complex, but that requires a lot of discipline and dedication to learn to master the way problems are presented and solved to provide computer solutions through algorithms. In this same context, over time, many students mistakenly think that Systems Engineering or related programs involve only using the Microsoft Office package or surfing the Internet, without knowing in-depth the different perspectives of what really are the degrees in computer science or computing areas; taking into account that actually by means of the algorithms a base is formed to start developing programs or office automation packages and others according to a need. Based on all these considerations, the book is written for those people who see the need to learn how to create programs from scratch, in order to develop the way to analyze the problems and later check them through a desktop test, giving arbitrary values to the variables to verify whether the given result complies with the proposed statement of each exercise.

Keywords: Problem-solving, computing, technology

Chapters

  • Presentación
  • Introducción
  • Capítulo 1
  • Capítulo 2
  • Capítulo 3
  • Capítulo 4
  • Capítulo 5

ISBN-13 (15)

978-958-651-779-9

Fecha de publicación (01):

2021-07-01
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How to Cite

Dueñas Meza, J. M., Valdés Benjumea, J. J., & Rodríguez Niño, M. C. (2021). Didactics for Learning Algorithms. Sello Editorial UNAD. https://doi.org/10.22490/9789586517799

Published

July 1, 2021