DeepAI AI Chat
Log In Sign Up

Data Science for Engineers: A Teaching Ecosystem

01/14/2021
by   Felipe Tobar, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

07/05/2018

Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice

Data Science is currently a popular field of science attracting expertis...
01/31/2023

Data Science: A Systematic Treatment

There has been an increasing recognition of the value of data and of dat...
05/13/2021

Perspective on Data Science

The field of data science currently enjoys a broad definition that inclu...
02/19/2022

Tools and Recommendations for Reproducible Teaching

It is recommended that teacher-scholars of data science adopt reproducib...
09/29/2020

Towards decolonising computational sciences

This article sets out our perspective on how to begin the journey of dec...
05/03/2021

Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities

NLP's sphere of influence went much beyond computer science research and...