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Digital signal processing course on Jupyter–Python Notebook for electronics undergraduates
Author(s) -
ZúñigaLópez Arturo,
AvilésCruz Carlos
Publication year - 2020
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.22277
Subject(s) - python (programming language) , computer science , workflow , programming language , software engineering , database
The Jupyter–Python Notebook open source is currently used world‐wide as a programming environment for courses and labs. This paper describes an application of a set of Python computer programs implemented in the form of Jupyter notebooks to learn the course of digital signal processing and also seeks to contribute to the development of innovative teaching methodologies. A set of user‐friendly Jupyter notebooks workflows allows teachers–students to teach and learn theoretical concepts, description of problems, computer code, and simulation results with a graphical output. The proposed environment allows teachers/students to code their simulations in Python or Octave simulating languages. Additionally, a new approach involves student‐centered learning to teach theoretical and lab concepts.