Grand Challenges in Systems Engineering Education

2019 ◽  
pp. 47-59
Author(s):  
Steven Hoffenson ◽  
Peggy Brouse ◽  
Don S. Gelosh ◽  
Michael Pafford ◽  
Larry D. Strawser ◽  
...  
Keyword(s):  
Engineering Education ◽  
Systems Engineering ◽  
Grand Challenges

Bridging Psychology and Engineering: Undergraduate Conceptions of Human Systems Engineering

2020 ◽  
Vol 64 (1) ◽  
pp. 510-514
Author(s):  
Rod D. Roscoe ◽  
Samuel T. Arnold ◽  
Ashley T. Clark
Keyword(s):  
Engineering Education ◽  
Systems Engineering ◽  
Engineering Students ◽  
Introductory Courses ◽  
Knowledge And Beliefs ◽  
The People ◽  
Human Systems

Instruction and coursework that link engineering and psychology may enable future engineers to better understand the people they are engineering for (e.g., users and clients) and themselves as engineers (e.g., teammates). In addition, human-centered engineering education may empower engineering students to better solve problems at the intersection of technology and people. In this study, we surveyed students’ conceptions and attitudes toward human systems engineering. We aggregate responses across three survey iterations to discuss students’ knowledge and beliefs, and to consider instructional opportunities for introductory courses.

The Grand Challenges in Natural Computing Research

2014 ◽  
pp. 237-250
Author(s):  
Leandro Nunes de Castro ◽  
Rafael Silveira Xavier ◽  
Rodrigo Pasti ◽  
Renato Dourado Maia ◽  
Alexandre Szabo ◽  
...  
Keyword(s):  
Information Processing ◽  
Systems Engineering ◽  
Natural Computing ◽  
Computing Systems ◽  
Natural Systems ◽  
Grand Challenges ◽  
New Science ◽  
Information Processing Perspective

An important premise of Natural Computing is that some form of computation goes on in Nature, and that computing capability has to be understood, modeled, abstracted, and used for different objectives and in different contexts. Therefore, it is necessary to propose a new language capable of describing and allowing the comprehension of natural systems as a union of computing phenomena, bringing an information processing perspective to Nature. To develop this new language and convert Natural Computing into a new science it is imperative to overcome three specific Grand Challenges in Natural Computing Research: Transforming Natural Computing into a Transdisciplinary Discipline, Unveiling and Harnessing Information Processing in Natural Systems, Engineering Natural Computing Systems.

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