Data Science for Engineers: A Teaching Ecosystem
- URL: http://arxiv.org/abs/2101.06119v1
- Date: Thu, 14 Jan 2021 14:17:57 GMT
- Title: Data Science for Engineers: A Teaching Ecosystem
- Authors: Felipe Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquin Fontbona,
Alejandro Maass, Daniel Remenik, Jorge F. Silva
- Abstract summary: We describe an ecosystem for teaching data science to engineers at the Faculty of Physical and Mathematical Sciences, Universidad de Chile.
This initiative has been motivated by the increasing demand for DS qualifications both from academic and professional environments.
By sharing our teaching principles and the innovative components of our approach to teaching DS, we hope our experience can be useful to those developing their own DS programmes and ecosystems.
- Score: 59.00739310930656
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We describe an ecosystem for teaching data science (DS) to engineers which
blends theory, methods, and applications, developed at the Faculty of Physical
and Mathematical Sciences, Universidad de Chile, over the last three years.
This initiative has been motivated by the increasing demand for DS
qualifications both from academic and professional environments. The ecosystem
is distributed in a collaborative fashion across three departments in the above
Faculty and includes postgraduate programmes, courses, professional diplomas,
data repositories, laboratories, trainee programmes, and internships. By
sharing our teaching principles and the innovative components of our approach
to teaching DS, we hope our experience can be useful to those developing their
own DS programmes and ecosystems. The open challenges and future plans for our
ecosystem are also discussed at the end of the article.
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