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