Technical mathematics is more than adding 0 and multiplying by 1

Celina Strasser has always loved puzzles. Mathematics was already her favourite subject during her school days. Celina Strasser is currently studying Technical Mathematics at the University of Klagenfurt. She talked to us about outdated ways of thinking, the gender gap in technical areas, clichés in mathematics and her passion for modelling, optimising and programming.

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Funding for 14 PhD students in the field of optimization in FWF doc.funds project

The approval of this project represents a milestone in the success story of the Departments of Mathematics and Statistics at the University of Klagenfurt. It’s also a great achievement on the part of the participating professors and particularly for the 32-year-old coordinator, Michaela Szölgyenyi. Starting in October 2020, the project will employ ten young scientists (including eight women), with four more positions yet to be filled. The launch of the doc.funds doctoral school entitled “Modeling – Analysis – Optimization of discrete, continuous, and stochastic systems” will be celebrated on 27 October 2020 with an opening colloquium.

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Remarkable success for Mathematics and Statistics at the University of Klagenfurt: funding for 14 new PhD students in the field of optimization in FWF doc.funds project

The approval of this project represents a milestone in the success story of the Departments of Mathematics and Statistics at the University of Klagenfurt. It’s also a great achievement on the part of the participating professors and particularly for the 32-year-old coordinator, Michaela Szölgyenyi. Starting in autumn 2020, the project will employ around one dozen international young scientists in Klagenfurt.

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Kinder kommen von Störchen: Statistik richtig verstehen

Auswertungen von Datenbeständen regieren zunehmend die Welt: Amazon errechnet, was wir kaufen wollen, Google interpretiert anhand von Suchanfragen, wer wir sind, die Gesundheitsvorsorge fußt auf Statistik. Manfred Borovcnik ortet Kompetenzerweiterungsbedarf für das Verstehen von Statistik.

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