An empirical approach to understanding data science and engineering education

Authors

Rajendra K. Raj, Rochester Institute of Technology
Allen Parrish, Mississippi State University
John Impagliazzo, Hofstra University
Carol J. Romanowski, Rochester Institute of Technology
Sherif G. Aly, American University in CairoFollow
Casey C. Bennett, DePaul University
Karen C. Davis, Miami University
Andrew McGettrick, University of Strathclyde
Teresa Susana Mendes Pereira, Instituto Politécnico de Viana do Castelo
Lovisa Sundin, University of Glasgow

Files

Department

Construction Engineering Department

Abstract

[abstract not available]

Publication Date

12-18-2019

Document Type

Book Chapter

Book Title

Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE

Editors

Bruce Scharlau, Roger McDermott

ISBN

9781450368957

Publisher

The Association for Computing Machinery

City

New York, NY

First Page

73

Last Page

87

Keywords

Accreditation, Data engineering education, Data science education, Global standards, ITiCSE 2019 working group, Multidisciplinary education

Recommended Citation

APA Citation

Raj, R. Parrish, A. Impagliazzo, J. Romanowski, C. ... (2019).An empirical approach to understanding data science and engineering education. The Association for Computing Machinery. , 73-87
https://fount.aucegypt.edu/faculty_book_chapters/140

MLA Citation

Raj, Rajendra K., et al. An empirical approach to understanding data science and engineering education. The Association for Computing Machinery, 2019.pp. 73-87
https://fount.aucegypt.edu/faculty_book_chapters/140