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Coding oriented learning in economics,business and finance

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Salas-Molina, F.; Pla-Santamaria, D. (2018). Coding oriented learning in economics,business and finance. Modelling in Science Education and Learning. 11(1):55-64. doi:10.4995/msel.2018.9152

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/99807

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Title: Coding oriented learning in economics,business and finance
Secondary Title: Aprendizaje orientado a la programación en economía, negocios y finanzas
Author:
Issued date:
Abstract:
[EN] As the relationship between both students (teachers) and information technology evolves, new tools are required to improve learning (teaching) in social sciences. Economics, business and finance are mainly based on ...[+]


[ES] La evolución entre la relación entre los estudiantes (profesores) y la tecnología de la información, requiere nuevas herramientas para mejorar el aprendizaje (enseñanza) en las ciencias sociales. La economía, los ...[+]
Subjects: Python Notebooks , Economía , Enseñanza , Economics , Learning
Copyrigths: Reconocimiento - No comercial (by-nc)
Source:
Modelling in Science Education and Learning. (eissn: 1988-3145 )
DOI: 10.4995/msel.2018.9152
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/msel.2018.9152
Type: Artículo

References

da Costa Moraes, M. B., Nagano, M. S., and Sobreiro, V. A. (2015). Stochastic cash ow management models: A literature review since the 1980s. In Decision Models in Engineering and Management, pages 11-28. Springer International Publishing.

DiSessa, A. A. (2001). Changing minds: Computers, learning, and literacy. Mit Press.

Guzdial, M. (2010). Why is it so hard to learn to program? In Making software: What really works, and why we believe it, pages 111-121. O'Reilly Media, Inc. [+]
da Costa Moraes, M. B., Nagano, M. S., and Sobreiro, V. A. (2015). Stochastic cash ow management models: A literature review since the 1980s. In Decision Models in Engineering and Management, pages 11-28. Springer International Publishing.

DiSessa, A. A. (2001). Changing minds: Computers, learning, and literacy. Mit Press.

Guzdial, M. (2010). Why is it so hard to learn to program? In Making software: What really works, and why we believe it, pages 111-121. O'Reilly Media, Inc.

Ketcheson, D. I. (2014). Teaching numerical methods with iPython notebooks and inquiry-based learning. In Proceedings of the 13th Python in Science Conference. SciPy. org.

Myers, G. J., Sandler, C., and Badgett, T. (2011). The art of software testing. John Wiley & Sons.

Rossant, C. (2014). IPython interactive computing and visualization cookbook. Packt Publishing Ltd.

VanderPlas, J. (2016). Python Data Science Handbook: Essential Tools for Working with Data. O'Reilly.

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