Dmitriyev, Viktor and Wagner vom Berg, Benjamin and Stamer, Daniel and Sandau, Alexander and Giesen, Nils and Siewert, Jens and Marx Gómez , Jorge Carlos (2016) Teaching in-memory computing and big data related skills at university. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, 2. pp. 729-740.

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Abstract

Adapting particular novice topics for university’s curricula is a challenging task. Especially, when domains to be adopted are evolving rapidly and there are not much available materials, which explicitly dedicated to teaching. Beside availability of materials, overall management and law eligibility can be a really big obstacle in establishing a novice curricula. However, it’s very important to keep teaching programs close to appearing new topics in academia and industry in order to provide students with relevant knowledge and empowering them with advantage on labor market. Current work describes concrete ways how to address teaching to students such phenomena as big data and in-memory computing. Work shows how to build into teaching program novice trends, which are trending both in academia and industry, and at the same time to void hidden pitfalls and overcome obstacles. Work demonstrates in details gathered experiences in teaching aforementioned concepts with an example of particular university.

Item Type:	Article
Additional Information:	ISBN 978-3-86360-132-4 (Druckausgabe, Gesamtwerk)
Subjects:	Generalities, computers, information > Computer science, internet
Date Deposited:	30 Mar 2017 11:16
Last Modified:	30 Mar 2017 11:16
URI:	https://oops.uni-oldenburg.de/id/eprint/3154
URN:	urn:nbn:de:gbv:715-oops-32358
DOI:
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