Application of Data Science in chemical engineering education

Lavasani, Mitra; Ziaei-Halimejani, Hooman; Sotudeh Gharebagh, Rahmat; Zarghami, Reza; Mostoufi, Navid

doi:10.22047/ijee.2021.239468.1759

Application of Data Science in chemical engineering education

Document Type : Scientific - Research

Authors

mitra lavasani ¹

Hooman Ziaei-Halimejani ²

Rahmat Sotudeh gharebagh ³

Reza Zarghami ⁴

Navid Mostoufi ⁵

¹ tehran university

² College of Engineering University of Tehran

³ professor of chemical engineering,university of tehran

⁴ Chemical Eng Depart University of Tehran

⁵ Professor, Tehran University

https://doi.org/10.22047/ijee.2021.239468.1759

Abstract

Today, new technologies produce diverse data sets in the engineering sciences. Data science has provided the necessary tools for storing, analyzing, and managing these data set. In the near future, in almost all areas, traditional jobs will soon be replaced by data-driven jobs. Lack of efficient and trained human resources is a serious obstacle in managing large amounts of data in organizations, firms, and executive bodies. As a result, teaching and applying data science at the undergraduate and graduate levels in engineering disciplines, including chemical engineering, are inevitable. In this study, the importance of creating new courses on data science for evaluating big data and the role of these trainings in the development of chemical engineering in academia and industry are examined. For this purpose, data science courses in the top universities are reviewed and finally suggestions are presented. Titles are also suggested for how to present these courses. Providing these trainings to chemical engineers can help them to gain job opportunities and deal with large data in the chemical industry.

Keywords

Big data

data science

chemical engineering education

engineering education

data management

20.1001.1.16072316.1400.23.90.1.3

Subjects

Future of Engineering Education in Iran and Glob

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