Abstract
The use of collaborative tools that can contribute to share and demonstrate the usage of remote experiments, to support teaching and to enhance the learning process, is of great importance in several educational contexts and particularly in engineering courses. Jupyter/IPython notebooks are one of these tools that provide a programming environment to develop and share scientific contents and that can promote the access to remote and virtual labs. Teaching and learning activities in different high education courses, especially in engineering subjects, can benefit of using this type of resources. This paper presents an IPython-based approach to show how to interact with a remote rain gauge to obtain data about the rainfall in a given location, which may be useful in different learning contexts, namely in programming or environmental science subjects.
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Notes
- 1.
http://jupyter.org/ (last accessed: January 27, 2018).
- 2.
https://github.com/ (last accessed: January 27, 2018).
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Acknowledgement
This work was partially supported by Calouste Gulbenkian Foundation under U-Academy project [Project 2015/2016 FCG-138259]. This work was also partially supported by the Portuguese Foundation for Science and Technology (FCT), through the PhD scholarship SFRH/BD/122103/2016.
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Cardoso, A., Leitão, J., Gil, P., Marques, A.S., Simões, N.E. (2019). Demonstration: Using IPython to Demonstrate the Usage of Remote Labs in Engineering Courses – A Case Study Using a Remote Rain Gauge. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_79
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