Ringvorlesung on Big Data,
Internet of Things and Data
Science
SS 2015- Frankfurt Big Data Lab
www.bigdata.uni-frankfurt.de
Ringvorlesung on Big Data,
Internet of Things and Data Science
10 Lecturers:
Prof. Roberto V. Zicari, Goethe University
Prof. Nikos Korfiatis, University of East Anglia, UK
Hon.-Prof. Dr. Alexander Zeier, Accenture
Jörg Besier, Accenture
Klaas Wilhelm, The unbelievable Machine Company
Prof. Katharina Morik, TU Dortmund University
Prof. Hans Uszkoreit, DFKI
Matthew Eric Bassett, Gower Street Analytics, UK
Prof. Christoph Schommer, University of Luxembourg
Thomas Jarzombek, Mitglied des Deutschen Bundestages
Assistant: Marten Rosselli
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Ringvorlesung on Big Data,
Internet of Things and Data Science
10 Talks (open to all)
Big Data: A data driven society? 30.04.2015
Big Data and Regulation 07.05.2015
In-Memory Technologies and Applications: S/4 HANA 21.05.2015
Towards a data-driven economy. How Big Data fuels the digital
economy 28.05.2015
Data Science – the what, the why and the how 11.06.2015
Big Data Analytics in Astrophysics 18.06.2015
Smart Data Web – Value chains for industrial applications 25.06.2015
Data Science and the future of the movie business 02.07.2015
Algorithms for Data Privacy 09.07.2015
Big Data and its challenges for today´s politics 16.07.2015
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General Info
• Course start/end: Thursday, 30.04.2015 to Thursday,
16.07.2015
• Time and Location: Thursdays, 14:15 – 15:45, RobertMayer-Straße 11-15, 60325 Frankfurt, Room SR 307
• Languages: The languages of the lecture series are
English and German.
• Credit Points: Students can receive 3 CP.
• The lecture series is organized in cooperation with the
Goethe Unibator www.goetheunibator.de
• The series of lectures is open to all.
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Important note for students of
Computer Science
• This course is also called Softskills Entrepreneurship.
An additional module (“Ergänzungsmodul”) is mandatory
for Computer Science Bachelor and Master students.
• To receive the 3
CP for the course, the student has to
attend at least 8 lectures. In case of illness, a doctor’s note is
required. A registration via QIS/LSF is not required.
• A detailed report (in English or German, 4-5 pages) about
one lecture of your choice is required to be handed in at
the end of the course. Each student is supposed to write
an individual report.
• The report must be handed in as a PDF file before
20.07.2015, 24:00 (Deadline) via Email to Marten Rosselli
 rosselli@dbis.cs.uni-frankfurt.de
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Structure of the report
- 1 Page: Summary of main elements of the guest
lecture chosen
- 3-4 Pages: Free choice between
a) Additional personal research on the topic,
presenting new/complementary information
b) A new business model based on the topic of the
lecture chosen
c) Critical personal analysis of the main issues
covered in the guest lecture
- Conclusions (max ½ page)
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Scope
• “The big data phenomenon affects many facets
of contemporary life and has the potential to alter
governance, the economy, and the very
structures of society. Technology and data are
poised to increasingly alter many different sectors,
including healthcare, education, finance, security,
marketing, and transportation to name a few.“
— from “The Social, Cultural, & Ethical Dimensions of ‘Big Data.’“ , March
17, 2014, organised by the Data & Society Research Institute, the White
House Office of Science and Technology Policy (OSTP), and New York
University’s Information Law Institute.
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Scope
• Big Data: The Data
• Internet of Things : Devices generating more
Data
• Data Science: What to do with the Data?
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Contact
For questions please contact us at:
BigDataSS2015@dbis.cs.uni-frankfurt.de
DBIS