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A Queuing Theory and Systems Modeling Course Based on Unified Modeling Language (UML)

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Knowledge Management, Information Systems, E-Learning, and Sustainability Research (WSKS 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 111))

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Abstract

This paper presents the implementation of a new teaching method in the way that a queuing theory and systems modeling or simulation course can be done. It also presents how this method was evaluated by the teachers and the students that attended the course and answered a questionnaire. This course is based on the use of Unified Modeling Language (UML) as the mean to teach modeling of discrete event systems such as queues and networks and not on Mathematics that sometimes is too difficult for students to understand.

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References

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Author information

Authors and Affiliations

  1. Applied Informatics, University of Macedonia, Egnatias 156, 54006, Thessaloniki, Greece

    Athanasios Perdos, George Stephanides & Alexander Chatzigeorgiou

Authors
  1. Athanasios Perdos
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  2. George Stephanides
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  3. Alexander Chatzigeorgiou
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Editor information

Editors and Affiliations

  1. The American College of Greece, Aghia Paraskevi, Athens, Greece

    Miltiadis D. Lytras

  2. University of Oviedo, Spain

    Patricia Ordonez De Pablos

  3. Bar-Ilan University, Ramat Gan, Israel

    Adrian Ziderman

  4. De Montfort University, Leicester, UK

    Alan Roulstone

  5. Institute for Information Systems and Computer Media, Graz University of Technology, Inffeldgasse 16, 8010, Graz, Austria

    Hermann Maurer

  6. Wellesley College, Wellesley, MA, USA

    Jonathan B. Imber

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© 2010 Springer-Verlag Berlin Heidelberg

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Perdos, A., Stephanides, G., Chatzigeorgiou, A. (2010). A Queuing Theory and Systems Modeling Course Based on Unified Modeling Language (UML). In: Lytras, M.D., Ordonez De Pablos, P., Ziderman, A., Roulstone, A., Maurer, H., Imber, J.B. (eds) Knowledge Management, Information Systems, E-Learning, and Sustainability Research. WSKS 2010. Communications in Computer and Information Science, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16318-0_58

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  • DOI: https://doi.org/10.1007/978-3-642-16318-0_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16317-3

  • Online ISBN: 978-3-642-16318-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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