Integrating artificial intelligence into the undergraduate engineering curriculum

Author(s):  
R.J. Schalkoff
2009 ◽  
Vol 19 (4) ◽  
pp. 739-746 ◽  
Author(s):  
Chenn-Jung Huang ◽  
Jia-Jian Liao ◽  
Hung-Yen Shen ◽  
Nwe Ni Aye ◽  
Yu-Wu Wang ◽  
...  

Author(s):  
Ralph O. Buchal

Engineering design has received increasing attention in the undergraduate engineering curriculum, and much progress is being made. However, deficiencies are still observed in many skills required to be a successful design engineer, including: design methodology, project management skills, engineering analysis and validation in design, engineering graphics, practical skills, and reflection. Important factors affecting these outcomes include clear understanding of the design process, mentorship and direction from engineering advisors, increased opportunity for practical experience, and clear expectations.


Author(s):  
Robert L. Nagel ◽  
Matt R. Bohm

This paper reviews functional representation and modeling across multiple domains of engineering as well as function recognition and modeling in the engineering design field. Various modeling techniques are presented along with approaches to model realization published in common engineering design text books. Specifically, within the field of engineering design, seven published approaches for modeling function are presented: 1.) Glass Box Method; 2.) Function Analysis System Technique; 3.) Systematic Processes; 4.) Enumeration; 5.) Zen Approach; 6.) Reverse Engineering; and 7.) Function-Means Trees. Through discussion of the modeling approaches the authors pose questions on how function should be taught in undergraduate engineering curriculum. Finally, the potential benefits of function-based design approaches are reviewed and discussed.


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