Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach

2017 ◽  
pp. 186-195
Author(s):  
Yoshitatsu Matsuda ◽  
Takayuki Sekiya ◽  
Kazunori Yamaguchi
Keyword(s):  
Computer Science ◽  
Data Science ◽  
Science Approach ◽  
Science Curricula

scholarly journals What is Data Science? An Operational Definition based on Text Mining of Data Science Curricula

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Zhiyong Zhang ◽  
Keyword(s):  
United States ◽  
Text Mining ◽  
Computer Science ◽  
Topic Modeling ◽  
Data Science ◽  
The United States ◽  
Operational Definition ◽  
Bottom Up ◽  
Science Curricula

Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These topics reiterate that data science is at the intersection of statistics, computer science, and substantive fields.

Developing Competency Statements for Computer Science Curricula

2020 ◽  
Author(s):  
Alison Clear ◽  
Tony Clear ◽  
Abhijat Vichare ◽  
Thea Charles ◽  
Stephen Frezza ◽  
...  
Keyword(s):  
Computer Science ◽  
Science Curricula

Special Feature Software Engineering Concepts and Computer Science Curricula

Computer ◽  
1977 ◽  
Vol 10 (6) ◽  
pp. 85-91 ◽  
Author(s):  
A.I. Wasserman ◽  
P. Freeman
Keyword(s):  
Software Engineering ◽  
Computer Science ◽  
Science Curricula

Local considerations in computer science curricula development

1992 ◽  
Vol 24 (1) ◽  
pp. 123-128
Author(s):  
Adnan H. Yahya
Keyword(s):  
Computer Science ◽  
Science Curricula

Digital Twins: Review and Challenges

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Maria G. Juarez ◽  
Vicente J. Botti ◽  
Adriana S. Giret
Keyword(s):  
Computer Science ◽  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Digital Twin ◽  
Digital Twins ◽  
Science Approach ◽  
Multi Agent ◽  
Current Operating

Abstract With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

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