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Gustaf Neumann

Chair of Information Systems and New Media, Head of the Department of Information Systems, Vienna University of Economics and Business
Gustaf Neumann is native of Vienna, Austria. He graduated from the Vienna University of Economics and Business Administration in 1983 and holds a Ph.D. from the same university. He joined the faculty of WU in 1983 as Assistant Professor at the MIS department and served as head of the research group for Logic Programming and Intelligent Information Systems. Before becoming a full professor at the University of Essen, Gustaf Neumann was a visiting scientist at IBM's T.J. Watson Research Center in Yorktown Heights, NY, from 1985-1986 and 1993-1995 (working e.g. on the Syllog system).
In 1987 he was awarded the Heinz-Zemanek award of the Austrian Association of Computer Science (OCG) for best dissertation Metainterpreter Directed Compilation of Logic Programs into Prolog in the field of computer science. In 1988 he received the Senator Wilhelm Wilfing Price (research recognition) and in 2005 the WU Best Paper Award (highest valued price from universities for research publications). In 2007, Gustaf Neumann received the Senator Wilhelm Wilfing Price a second time.
  • Learn@WU - Supporting the Excellency in Education   |   Kongres ITAPA 2009: Art of eServices
    Learn@WU, the eLearning platform of Vienna University of Economics and Business, is one of the most intensely used eLearning platforms in higher education worldwide. The platform is entirely based on open source components and provides a convenient electronic environment for all courses of the university. More than 120.000 mostly interactive learning materials are available and particularly cover the complete first year of bachelor studies. WU uses its eLearning platform to offer a blend of knowledge transfer techniques, where each approach is used according to specific teaching needs.
    The presentation focuses on the progress of Learn@WU from a project to an infrastructure and gives an overview of key figures and success factors. Examples of elementary functionalities illustrate the significance of Learn@WU as learning and teaching environment.
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