Title
Operational research and machine learning: An engineering course
Date Issued
01 March 2019
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
In this work, we integrate computational techniques based on machine learning (ML) and computational intelligence (IC) to conventional methodologies used in the Operational Research (OR) degree course for Engineers. That synergy between those techniques and methods allows students to deal with complex problems. The main contribution of this paper is to present a different proposal for OR courses using the synergy between mathematical models employing computer simulations, IC and different hybrid models.
Language
English
OCDE Knowledge area
Ciencias de la computación Educación general (incluye capacitación, pedadogía)
Scopus EID
2-s2.0-85074749155
Resource of which it is part
EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
ISBN of the container
9781728116662
Conference
EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Sources of information: Directorio de Producción Científica Scopus