Prof. Dr.-Ing. Wolfgang Maaß
Prof. Dr. Jens Dittrich
The 4th European Data Science Summer School at Saarland University
place on September 18-22, 2017.
The summer school is an intensive hands-on introduction to data
science for PhD and
master students. It addresses the need for future experts in data
science that venture to solve big-data
challenges with skills in business, science and computing – “a
combination that is still hard to find” (cf.
Mattmann, Nature 2013). We will introduce you to basic but also
advanced statistics and its application in
business and healthcare situations. Lectures are combined with
hands-on modules that will help you to
understand theoretical principles and how to apply them.
No previous knowledge of the subject is required, although
attendants should have a minimal programming
skill set. As an introduction or refreshment of these programming
The European Data Science Summer School is taught by leading
from Europe as well as by industrial experts. It
is held at Saarland University
facilities of the Department of Business Administration
To learn more about the European Data Science Summer School, please
You can also email us to email@example.com
We accept registrations until 10th of September, 2017.
Dr. Martin Becker
Since 2008 Martin Becker
is a lecturer for
Statistics and Econometrics at Saarland University. After finishing
his studies in Economics in 2002, he
worked as a research assistant at the chair in Statistics and
Econometrics at Saarland University where he
obtained his doctoral degree in 2008. His research focuses on
computational statistics with practical
applications, in particular simulation methods. His work on Monte
Carlo option valuation has been published
in Applied Mathematical Finance, Computational Management Science
and the Journal of Computational
Prof. Tim Conrad
FU BerlinTim Conrad
is professor for Medical
Bioinformatics at Freie
and head of the Forschungscampus MODAL
Tim studied Computer Science and Bioinformatics in Berlin and
Melbourne and received
his PhD from the Institute of Mathematics at FU Berlin. His research
is focused on the analysis of large
biomedical data-sets using statistics, compressed sensing and
He is CEO of inbion
and member of board of MODAL AG
Prof. Jens Dittrich
Saarland UniversityJens Dittrich
is a Full Professor of Computer Science in the area of Databases,
Data Management, and Big Data at Saarland University, Germany.
Previous affiliations include U Marburg, SAP AG, and ETH Zurich.
He is also associated to CISPA (Center for IT- Security, Privacy and Accountability).
He received an Outrageous Ideas and Vision Paper Award at CIDR 2011,
a BMBF VIP Grant in 2011, a best paper award at VLDB 2014
(the second ever given to an Experiments and Analysis paper),
two CS teaching awards in 2011 and 2013, several presentation awards
including a qualification for the interdisciplinary German science slam finals
in 2012, and three presentation awards at CIDR (2011, 2013, and 2015).
He has been a PC member of prestigious international database conferences
such as PVLDB/VLDB, SIGMOD, and ICDE.
In addition, he has been an area chair at PVLDB, a group leader at SIGMOD,
and an associate editor at VLDBJ.
His research focuses on fast access to big data including in particular:
data analytics on large datasets, main-memory databases, database indexing,
and reproducibility (see https://github.com/uds-datalab/PDBF
Since 2013 he has been teaching some of his classes on data management
as flipped classrooms (aka inverted classrooms).
for a list of
freely available videos on database technology in German and English
(about 80 videos in German and 80 in English so far).
Prof. Ralph Friedmann
Saarland UniversityRalph Friedmann
held the chair of Statistics and Econometrics at
Saarland University from 1990 until 2013.
Born 1947, he studied Mathematics at the Free University of Berlin
and received his doctoral degree in
Economics and his habilitation (Econometrics and Statistics) from
Bielefeld University. At Bielefeld
University he held a senior tenured position before he was appointed
as Professor of Statistics and
Econometrics at Saarland University. 1995-2000 he was appointed as
Visiting Professor at China Europe
International Business School (CEIBS) in Shanghai and 2005 he was
nominated as Honorary Professor at Guizhou
Normal University, Guiyang, China.
His research interests are in financial econometrics, econometric
methods, time series analysis and
econometric policy evaluation. He has published in International
Economic Review, Journal of Econometrics,
Journal of Economic Dynamics and Control, Journal of Banking and
Finance and other international
PD Dr. Stefan Klößner
Since 2007 Stefan Klößner is a fixed-term assistant professor at
chair in Statistics and
Econometrics at Saarland University. In 1997, after finishing his
A-Levels, Stefan began
his studies in Economics at Saarland University. After finishing his
studies in Economics
at Saarland University in 1997, he successfully completed his
studies in Mathematics in
2001. Between 1997 and 2007 Stefan Klößner worked as a research
associate at chair in
Statistics and Econometrics. One of his latest publications called
International Spillovers of
Policy Uncertainty, was published in 2014 in cooperation with
Rodrigo Sekkel from Bank of
Canada. It deals calculating and interpreting the amount of policy
uncertainty emanating from
six developed countries, with the background of uncertainty after
the global financial crisis.
Prof. Wolfgang Maaß
Saarland UniversityWolfgang Maaß
is full professor and
chair in Information
and Service Systems (ISS), faculty of Business Administration,
Saarland University, Germany. Previously he
led the division Smart
at the Institute of Technology Management (ITEM) at
the University of St. Gallen,
Switzerland. Wolfgang Maaß was university lecturer at the University
of St. Gallen and professor of media
and computer science at Furtwangen University where he led the
Intelligent Media research group (RCIM). He
studied Computer Science at the RWTH Aachen and the Saarland
University. His PhD in Computer Science at the
Saarland University was funded by the German National Science
Foundation (DFG). End of 2007 he was awarded
with a habilitation by the Department of Management at the
University of St. Gallen, Switzerland. He was
guest researcher at the National Center for Geographic Information
and Analysis (NCGIA), UC Santa Barbara,
CA, USA and guest professor at the Department of Bioinformatics and
Computational Biology (MD Anderson
Cancer Center), University of Texas, TX, USA. Beside his research
activities, he worked as a consultant for
international Diebold Management Consulting, was CEO of a start-up
company for several years, and still is
active co-founder of University spin-offs. His field of research are
information systems including
Ubiquitous Information Systems (UIS
) with a focus on smart products,
Internet of Things, intelligent information
systems, conceptual modeling, electronic knowledge markets, and paid
Felix Martin Schuhknecht
Saarland UniversityFelix Martin Schuhknecht
is a finishing PhD student at the
Information Systems chair of Prof. Jens Dittrich in the Computer Science Department of Saarland
University. In 2017 he will continue his work as a postdoctoral researcher at the chair.
His research focuses on main-memory (adaptive) indexing methods, data partitioning and sorting,
storage layouts, and memory management techniques. He has published work in
these areas on major conferences, journals, and workshops in the field of
databases and information systems, including PVLDB/VLDB, VLDB Journal, CIDR,
and SIGMOD DaMoN. In 2014, he won a VLDB best paper award (the second ever
given to an Experiments and Analysis paper) on a study about adaptive indexing.
In addition, he has served as an external reviewer for several conferences including
ACM SIGMOD, VLDB, ICDE, BTW, and SOCC and is a member of the program committee of ICDE 2017.
Prof. Florian Stahl
University of MannheimFlorian Stahl
joined the Department of Business Administration at the University
of Mannheim, Germany in Fall 2013,
as a Professor of Marketing.
Florian Stahl's research interests are primarily in empirical quantitative marketing,
business economics and information systems research. Specifically,
his research addresses business related questions of the digital economy and, in particular,
of online social networks and social media. Further research areas of Florian Stahl are customers'
brand and product switching behavior, consumers' intertemporal choice and discounting of future benefits,
as well as pricing and sampling of (digital) products. Methodically his research is based on empirical
applied econometrics, Bayesian modeling and experimental studies (laboratory as well as field experiements).
Florian Stahl earned a Masters degree in Economics from the University of Zürich,
Switzerland in 2001 and a PhD in Business Economics in 2005 from the University of St. Gallen, Switzerland.
Between 2005 and 2008, he was a postdoctoral research fellow at Columbia Business School in New York.
Before joining the University of Mannheim Faculty of Business Administration in 2013,
he was an Assistant Professor of Quantitative Marketing in the Department of Business Administration at the
University of Zürich.
Blue Yonder GmbHDaniel Stemmer
studied at the Karlsruhe
Technology (KIT) in Germany and earned his degree in conjunction
with a thesis on data analysis at the
Japanese Research Center for Particle Physics (KEK). Together with
his team at the University of Karlsruhe,
he took part in the 2010 Data Mining Cup and was one of the prize
winners, taking First Prize and thus
bringing the award to Karlsruhe. After his studies, he worked at
phi-t on the core development of the
NeuroBayes algorithm. As of 2012, he works as a developer and part
of the core algorithm team at the Blue
Dr. Malte Tichy
Blue Yonder GmbH
With a thesis on high-energy phenomenology, Malte Tichy
a binational diploma in physics from the Universities of Tübingen and Trento in 2008.
During his PhD studies at Freiburg University, which he finalized in 2011,
he dealt with quantum correlations of identical particles.
His subsequent postdoctoral research lead him to the University of Aarhus,
where he investigated quantum statistical many-particle phenomena and
taught courses on quantum information theory.
In fall 2015, Malte joined Blue Yonder GmbH as a Data Scientist.
IBM Deutschland GmbH
After studying economic computer science in Clausthal-Zellerfeld and Valencia Stephan Reimann worked two
years for a small consulting company project. There he converts themes like Business Intelligence and Data
Warehouse. The main consumers he was in charge of were from the textile industry.
Since 2007 he works for IBM as an IT-Specialist. There he’s working on themes like Distributed Databases,
Real Time Analytics as well as Big Data Technologies, for example Hadoop and Spark.
His range of tasks includes all steps from initial discussions about ideas and concept with the customers,
up to the implementation in pilot-projects.
Saarland UniversityIaroslav Shcherbatyi
obtained his Masters Degree in Computer Science at the University of Saarland.
His master's thesis won Best Master's Thesis Award at German Conference on Pattern Recognition.
He previously worked at Max Planck Institute for Informatics, where he was performing
research in areas of mathematical optimization (mainly in context of computer vision),
machine learning and human - computer collaboration. As of 2015,
he works as a research associate at the chair of Information and Service Systems at Saarland University,
where he applies his machine learning and optimization skills to information systems domain.
The 2017 European Data Science Summer School will be held at
University, in Saarbrücken, Germany.
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. An
international perspective has been a
defining feature of Saarland University ever since it was
established in cooperation with France in 1948.
Today, 18.500 young people are studying in Saarbrücken and Homburg
(faculty of medicine), 16 per cent of
whom are international students. Located in a pleasant woodland
setting, the university campus offers
students and researchers a broad range of sporting and cultural
activities, which together with the numerous
cafés and restaurants make the campus an ideal place to relax
between lectures or after work. And thanks to
the high-speed ICE train link it takes only two hours to travel from
Saarbrücken to Paris.
The state capital of Saarbrücken is the regional centre of the
Saarland and is situated at the heart of the
Saar-Lor-Lux region. The city has approximately 180.000 inhabitants
and is strongly influenced by its
proximity to France and the chequered history of a French-German
border town. The university, trade fair and
conference city is set amidst vast woods and enchants visitors with
its French charm, which is reflected in
the narrow alleys at the foot of the castle and in the pedestrian
precinct at the St. Johanner Market
Square. Saarbrücken is currently evolving from a stagnant mining
town to a vibrant centre of service,
science, research and modern technology. Major companies and service
providers, as well as almost all
federal state authorities, are headquartered in Saarbrücken. The
more than 200 specialist shops lining the
modern pedestrian precinct and picturesque little streets and hidden
courtyards around the St. Johanner
Market Square are an excellent place to browse. A wide-ranging
cultural programme and many different
festivals and events attract thousands of visitors all year round.
Participants get 4 ECTS for participating at the 4th European Data Science Summer School.
After the official part there is the voluntary chance to prepare a mini-project to get another 2 ECTS.
If you intend the preparing of a mini-project, please register for that via email (firstname.lastname@example.org
until 10th of Semptember 2017.
The summer school is an intensive hands-on introduction to data
science for doctoral researchers and
advanced students. Open places can be given to professionals.
The registration fee for the summer school includes all
sessions, lunch, coffee breaks and the social
event. Information about participants fee's will be available
|PhD students|| 295.00€|
Registration for PhD and Master students
To register, please send a message with your name, your course
of studies and your current semester to
Afterwards, you will
receive a code to enrol to the course “Data Science Summer
School 2017” under http://lehre.iss.uni-saarland.de
Registration for professionals
To register, please send an application including CV and
motivation letter until 31st of July, 2017 to
If you are accepted you
will be notified until 15th of August, 2017. Afterwards, you
will receive a code to enrol to the course
“European Data Science Summer School 2017” under http://lehre.iss.uni-saarland.de
Hermann Neuberger Sportschule
Tel. +49(0)681 3879494
Doubleroom: 30€ incl. Breakfast per day (for each person) Homepage: http://www.lsvs.de/index.php?id=21
Ibis Budget Saarbrücken Ost
Tel. +49 (0)681 6852020
Singleroom: 37€ without breakfast per
: The ibis budget Saarbrücken Ost is
conveniently located near the A623 motorway. It has 82 rooms, each
max. 2 adults and 1 child under 12 years.
You can use our free Wi-Fi access and also our breakfast buffet
every morning. We also provide free parking
at the house. Our modern, comfortable rooms are equipped with a
queen bed, bunk bed, shower, toilet, desk
and satellite TV.Homepage: http://www.accorhotels.com/de/booking/rates.shtml?packId=31418810703
B&B Hotel Saarbrücken Hbf
Tel. +49 (0)681 793080
Singleroom: 41€ per day Description:
room with a double bed for one or two
guests. It has a reading and a bedside table. The room also has a
desk and a chair. Ther’s a wardrobe with
shleves and a dressing mirror. The bathroom has been colourfully
designed and comes with a shower, WC and a
wash basin. Homepage: https://www.hotelbb.de/en/portal/booking/index.html?databind=app%3A+application%2C+%27tplPath%27%3A+%27bma%2F%27#/booking
Tel. +49 (0)681 36735
Singleroom: 44€ inkl. breakfast per dayHomepage: http://www.hrs.de/hotelData.do?hotelnumber=89900&activity=photo&availability=true&singleRooms=1&adults=1&children=0&l=&startDateDay=21&startDateMonth=09&startDateYear=2016&endDateDay=25&endDateMonth=09&endDateYear=2016&customerId=1036861999&extcmp=MS-8358_trivago_DE_B10¤cy=EUR
Tel. +49 (0)681 687060
Singleroom: 54€ without breakfast per day Breakfast +7,60€ per dayHomepage: http://www.hrs.de/hotelData.do?hotelnumber=89904&activity=photo&availability=true&singleRooms=1&adults=1&children=0&l=&startDateDay=21&startDateMonth=09&startDateYear=2016&endDateDay=25&endDateMonth=09&endDateYear=2016&customerId=1036861999&extcmp=MS-8360_trivago_DE_B12¤cy=EUR
Best Western Hotel Victors Residenz
Telefon: +49 (6951) 709505
Singleroom: 94€ incl. Breakfast per dayDescription
The 4-star Best Western Victor's
Residenz is located in a quiet residential area in the district
Rodenhof, just a few minutes from the main
railway station and city center. It offers perfect hospitality,
comfortable rooms with free Wi-Fi, two
restaurants, bistro, hotel bar and summer terrace. For relaxation,
the Vital Resort offers outdoor pool,
whirlpool, sauna, steam room and gym or treat yourself to a
pampering massage in the beauty
Hotel am Triller
+49 (681) 580000
Singleroom: 96€ incl. Breakfast per dayDescription:
The themes Hotel Am Triller in
Saarbruecken is in the countryside, above the Saarbruecken Castle
and is surrounded by a peaceful park.
Enjoy your stay in the exceptional topic floors Saar legends, Planet
Ocean, impressions, light & nature,
four seasons or the seventh heaven and Musée de Paris with the Suite
Moulin Rouge. All rooms have free WiFi
and the latest generation of 32-inch LED TV with 39 TV channels
including Sky Sports channels. Relax in the
hotel's indoor swimming pool with sauna and small fitness area or in
the cozy beer garden. Dogs are also
welcome! The team wishes you a pleasant stay in family-run city
oasis. Note: free parking, reserved,
underground parking available.
Local OrganizationSandra Hemm