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50 Jahre Universitäts-Informatik in München

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Cover of '50 Jahre Universitäts-Informatik in München'

Table of Contents

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    Book Overview
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    Chapter 1 Cybersicherheit Beyond 2020!
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    Chapter 2 Allgegenwärtige Mensch-Computer-Interaktion
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    Chapter 3 Bioinformatics Advances Biology and Medicine by Turning Big Data Troves into Knowledge
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    Chapter 4 Human Collaboration Reshaped: Applications and Perspectives
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    Chapter 5 Software-Verifikation
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    Chapter 6 Innovationszentrum Mobiles Internet des ZD.B
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    Chapter 7 Medieninformatik und Mensch-Computer-Interaktion an der LMU München
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    Chapter 8 Human-Computer Interaction Generating Intrinsic Motivation in Educational Applications
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    Chapter 9 Intelligence and Security Studies
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    Chapter 10 Neurorobotics: From Computational Neuroscience to Intelligent Robots and Back
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    Chapter 11 Algorithmic Economics und Operations Research
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    Chapter 12 Herausforderungen an der Schnittstelle von Informatik und Gesellschaft: Institutionalisierte Erforschung der Digitalisierung zur Sicherung von Wohlstand und Fortschritt
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    Chapter 13 Die Evolution des Hauptspeicher-Datenbanksystems HyPer: Von Transaktionen und Analytik zu Big Data sowie von der Forschung zum Technologietransfer
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    Chapter 14 Informatik-Forschung für digitale Mobilitätsplattformen
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    Chapter 15 Das Münchner Wissenschaftsnetz
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    Chapter 16 Computer Vision für 3D Rekonstruktion
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    Chapter 17 Informatik als Wissenschaft an der Technischen Universität München und ihre Anwendung in Wirtschaft und Gesellschaft
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8 Mendeley
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Title
50 Jahre Universitäts-Informatik in München
Published by
Springer Berlin Heidelberg, June 2017
DOI 10.1007/978-3-662-54712-0
ISBNs
978-3-66-254711-3, 978-3-66-254712-0
Editors

Bode, Arndt, Broy, Manfred, Bungartz, Hans-Joachim, Matthes, Florian

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Student > Bachelor 2 25%
Student > Ph. D. Student 2 25%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 4 50%
Economics, Econometrics and Finance 2 25%
Engineering 1 13%
Unknown 1 13%