AI techniques in the curriculum of engineering students

  • Gábor Péceli
  • Zoltán Papp
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 451)


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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  1. [1]
    H. Abelson, G. J. Sussman, J. Sussman: Structure and Interpretation of Computer programs. The MIT Press, Cambridge, Massachusetts, 1985.Google Scholar
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    MPROLOG Documentation. SZKI, Budapest, Hungary, September 1985.Google Scholar
  3. [3]
    A. Gábor (ed.): Expert Systems'88. SZÁMALK, Budapest, Hungary, 1988. (In Hungarian)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Gábor Péceli
    • 1
  • Zoltán Papp
    • 1
  1. 1.Department of Measurement and Instrument EngineeringTechnical University of BudapestBudapestHungary

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