학술논문

Data Science for Engineers: A Teaching Ecosystem
Document Type
Periodical
Source
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 38(3):144-153 May, 2021
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Ecosystems
Engineering education
Data science
Qualifications
Educational courses
Curriculum development
Language
ISSN
1053-5888
1558-0792
Abstract
We describe an ecosystem for teaching data science (DS) to engineers that blends theory, methods, and applications, developed at the Faculty of Physical and Mathematical Sciences (FCFM is its Spanish acronym), 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.