Abstract
This contribution reports on the endeavours and practical experiences in teaching AI techniques at the Faculty of Electrical Engineering of the Technical University of Budapest. Teaching AI techniques means on one hand an introduction to knowledge-based information processing, expert systems, and expert systems tools, while on the other the introduction of all of these topics into engineering problems like real-time monitoring, advisory and control systems, etc. In this contribution the aspects of teaching AI to engineering students are emphasized, thus the latter topics are investigated more thoroughly. For illustration purposes the teaching and research activity of the Department of Measurement and Instrument Engineering will be reported.
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References
H. Abelson, G. J. Sussman, J. Sussman: Structure and Interpretation of Computer programs. The MIT Press, Cambridge, Massachusetts, 1985.
MPROLOG Documentation. SZKI, Budapest, Hungary, September 1985.
A. Gábor (ed.): Expert Systems'88. SZÁMALK, Budapest, Hungary, 1988. (In Hungarian)
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© 1990 Springer-Verlag Berlin Heidelberg
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Péceli, G., Papp, Z. (1990). AI techniques in the curriculum of engineering students. In: Mařík, V., Štěpánková, O., Zdráhal, Z. (eds) Artificial Intelligence in Higher Education. Lecture Notes in Computer Science, vol 451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52952-7_20
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DOI: https://doi.org/10.1007/3-540-52952-7_20
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