DocumentCode :
874216
Title :
On teaching AI and expert systems courses
Author :
Garcia, O.N. ; Perez, R.A. ; Silverman, B.G. ; Austin, H.S. ; Baum, R.F. ; Brady, L.H. ; Cameron, R.S. ; Castaneda, S.E. ; Chen, J. ; Dey, P.P. ; DiCristina, G.M. ; Elmaghraby, A.S. ; Foster, R. ; Freeman, C. ; Kirch, M.R. ; Lawrence, A.W. ; Manesh, A. ;
Author_Institution :
George Washington Univ., Washington, DC, USA
Volume :
36
Issue :
1
fYear :
1993
fDate :
2/1/1993 12:00:00 AM
Firstpage :
193
Lastpage :
197
Abstract :
The experiences of faculty members from departments of engineering, mathematics, and computer science throughout the United States and Puerto Rico who came together for three weeks to discuss effective ways to teach artificial intelligence to undergraduates are outlined. The paper describes the rationale for the development of three main topic areas: artificial intelligence, expert systems, and symbolic and logic programming, and it includes syllabi for these topics. Also included is a discussion of the results obtained after a year of using the materials and techniques gathered during the original meeting
Keywords :
artificial intelligence; computer science education; educational courses; expert systems; teaching; AI; Puerto Rico; USA; artificial intelligence; computer science education; educational courses; expert systems; logic programming; syllabi; symbolic programming; teaching; undergraduates; Artificial intelligence; Computer science; Education; Educational institutions; Expert systems; Filtering; Government; Logic programming; Mathematics;
fLanguage :
English
Journal_Title :
Education, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9359
Type :
jour
DOI :
10.1109/13.204845
Filename :
204845
Link To Document :
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