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The Institute for Software & Systems Engineering (ISSE), directed by Prof. Dr. Wolfgang Reif, is a scientific institution within the Faculty of Applied Computer Science at the 比分365,足球比分直播 of Augsburg. It was founded to further invigorate and push?the main research in Augsburg by pooling strengths and competences. In research, the institute supports both fundamental and application-oriented research in all areas of software and systems engineering. In teaching, the institute facilitates the further development of the faculty's and university's relevant course offerings.

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Prof. Dr. Wolfgang Reif, Institutsleiter

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Breaking News regarding COVID19:

To help contain the Corona pandemic, we are trying to do much of our work from home. If you do not meet anybody at the chair personally, we ask for your understanding.
However, the secretariat and all staff members can be reached by phone or e-mail during normal office hours. If you want to hand in your documents, please use the mailbox "Knapp, Reif, Vogler" on the ground floor of building N opposite room 1035 (copy room/drinks machine), if you do not meet anybody at the moment.

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Official statements of the university can be found at?? /de/campusleben/neuigkeiten/covid-19/

News

Oct. 11, 2021

Studierende digitalisieren Bayerische Ehrenamtskarte

Im Studiengang Software-Engineering, der von der Universit?t Augsburg zusammen mit der TU München und der LMU angeboten wird, haben Studierende die Akzeptanzpartnersuche für die bayerische Ehrenamtskarte als App umgesetzt. Mit ihr k?nnen Ehrenamtliche die Vergünstigungen, die die Ehrenamtskarte bietet, schnell und unkompliziert finden. In Zukunft ist sie eine Alternative zur Plastikkarte.

比分365,足球比分直播
Sept. 24, 2021

Bericht über das CosiMo Projekt im CompositesWorld Magazin

Unter dem Titel CosiMo: Smart thermoplastic RTM process demonstrated for battery box cover challenge simulator hat das CompositesWorld Magazin einen Bericht über das CosiMo Projekt ver?ffentlicht:?

www.compositesworld.com/news/cosimo-smart-thermoplastic-rtm-process-demonstrated-for-battery-box-cover-challenge-simulator

比分365,足球比分直播
Aug. 30, 2021

CosiMo: Aktuelle Pressemitteilung DLR

Unter dem Titel Nach?hal?ti?ger Leicht?bau für Elek?tro?mo?bi?li?t?t hat unser Projektpartner, das DLR ZLP eine aktuelle Pressemitteilung ver?ffentlicht:?

https://t1p.de/wjdq

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比分365,足球比分直播
June 28, 2019

Students of Computer Science in Engineering at DLR

What do the scientists at the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) actually do? What do the flight attendants' trolleys have to do with an aircraft's kerosene consumption? And what can automation look like with very small lot sizes and even larger components? The answers to these and many other questions were given to the students of Computer Science in Engineering who took part in the excursion to DLR in Augsburg on 28 June. The students were given an overview of DLR's various tasks and activities. In addition, they were able to visit the research and production facilities and thus gain an impression of the challenges of fibre composite production and automation in aerospace. In the subsequent discussion, the remaining questions of the students were answered.

Feb. 22, 2019

Flying Robots, Augmented Reality and Self-learning Machines in CFRP Production: Technology and Innovation in Augsburg

Robert Brannek?mper, head of the Committee for Science and Art in the Bavarian State Parliament, and a delegation of the university administration got a first-hand impression of current research activities in the field of technology and innovation on Friday, 22 February 2019. The Institute for Software & Systems Engineering provided a look behind the scenes. Apart from ensembles of quadrocopters, which are simply controlled by a "magic wand" in order to be used, for example, in geographical measurements, the focus was on topics from Industry 4.0. Mr. Brannek?mper was able to inspect the future layout of a production cell of cooperating robots by means of augmented reality techniques and gained insight into software measures that transform a CFRP production plant into a self-learning machine through artificial intelligence.

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