[AISWorld] 3rd EUROPEAN DATA SCIENCE SUMMER SCHOOL

[Wolfgang Maass]

Apologies for cross-posting

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3rd EUROPEAN DATA SCIENCE SUMMER SCHOOL

Saarbruecken, Germany

September 26-30, 2016

Organized by Saarland University 

http://iss.uni-saarland.de/de/ds-summerschool/

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AIM:
Being one of the hottest topics in research at the moment, Data Science also draws increasing interest in the professional world. Related concepts like cloud computing and big data are well used in industry and media but they represent only marginal aspects of this fascinating area of research.

Besides teaching a theoretic understanding, the 3rd European Data Science Summer School at Saarland University is intended to promote a mathematical, legal and business-oriented approach that enables participants not only to understand but also to apply concepts related to Data Science. National premier speakers from academia and business will be involved in the intensive 5-day training. Participants will benefit from the mix of lectures, hands-on workshops and a poster session leading from understanding of required basic statistical principles to opportunities of data processing as well as to Data Science applications. Social events such as a cozy ’Saarland barbecue’ invite lecturers and participants to discuss questions in further detail. 


ADRESSED TO:
The 3rd European Data Science Summer School addresses all interested Master and PhD students with a minimal programming skill set.


VENUE (http://iss.uni-saarland.de/de/ds-summerschool/#venue): 
The 2016 Data Science Summer School will be held at Saarland University, in Saarbruecken, Germany. Saarland University is a modern university within the Saar-Lor-Lux region – a dynamic part of Europe defined by the shared borders between Germany, France and Luxembourg. 


SPEAKERS (http://iss.uni-saarland.de/de/ds-summerschool/#speakers) AND COURSES (http://iss.uni-saarland.de/de/ds-summerschool/#schedule):

Martin Becker (Saarland University) - Foundations of Statistics I

Tim Conrad (FU Berlin) - Processing mass data in Bioinformatics; Processing - Omics mass data

Jens Dittrich (Saarland University) - Databases for Data Science

Ralph Friedmann (Saarland University) - Time Series Analysis

Stefan Kloessner (Saarland University) - Foundation of Statistics II

Wolfgang Maass (Saarland University) - Predictive Models; Neural Networks; Research in the Era of Big Data 

Florian Stahl (University of Mannheim) - Quantitative Marketing and Big Data

Daniel Stemmer (Blue Yonder GmbH) - Modeling and Prediction Quality 

Malte Tichy (Blue Sonder GmbH) - Practical Machine Learning


ORGANIZING COMMITTEE:

Wolfgang Maass (Saarland University)
Sabine Janzen (German Research Center for Artificial Intelligence (DFKI))


REGISTRATION:

All infos regarding registration can be found under http://iss.uni-saarland.de/de/ds-summerschool/#register


FEES (http://iss.uni-saarland.de/de/ds-summerschool/#register):

Fees are a flat rate covering the attendance to all courses as well as lunch, coffee breaks and the social events during the week.


CERTIFICATE: 

Participants will get a certificate of attendance (incl. confirmation of 4 or 6 ECTS).


QUESTIONS AND FURTHER INFORMATION:

contact at iss.uni-saarland.de

--
Univ.-Prof. Dr.-Ing. Wolfgang Maaß

Chair in Information and Service Systems
Department of Law and Economics
Saarland University
Tel: +49 (0) 681 / 302 - 64736
iss.uni-saarland.de/en/ <http://iss.uni-saarland.de/en/>

Scientific Director at DFKI
Research Group Smart Service Engineering
German Research Center for Artificial Intelligence
Saarbrücken
Tel: +49 (0) 681 / 302 - 64736
wolfgang.maass at dfki.de <mailto:wolfgang.maass at dfki.de> 
http://www.dfki.de <http://www.dfki.de/>
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