Welcome to the 4th European Data Science Summer School at Saarland University


Prof. Dr.-Ing. Wolfgang Maaß iss
Prof. Dr. Jens Dittrich iss


The 4th European Data Science Summer School at Saarland University will take 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 skills, we can recommend the courses in JavaScript and Python offered by CodeAcademy.

The European Data Science Summer School is taught by leading scientists from Europe as well as by industrial experts. It is held at Saarland University within the facilities of the Department of Business Administration.
To learn more about the European Data Science Summer School, please check the program details. You can also email us to contact@iss.uni-saarland.de.
We accept registrations until 10th of September, 2017.



Martin Becker

Dr. Martin Becker

Saarland University

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 Finance.

Tim Conrad

Prof. Tim Conrad

FU Berlin

Tim Conrad is professor for Medical Bioinformatics at Freie Universitaet Berlin and head of the Forschungscampus MODAL MedLab. 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 network science. He is CEO of inbion GmbH and member of board of MODAL AG .

Jens Dittrich

Prof. Jens Dittrich

Saarland University

Jens 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). See http://datenbankenlernen.de and http://youtube.com/jensdit 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).

Ralph Friedmann

Prof. Ralph Friedmann

Saarland University

Ralph Friedmannheld 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 journals.

Stefan Klößner

PD Dr. Stefan Klößner

Saarland University

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.

Wolfgang Maaß

Prof. Wolfgang Maaß

Saarland University

Wolfgang 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 Products 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 content.

Felix Martin Schuhknecht

Felix Martin Schuhknecht

Saarland University

Felix 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.

Florian Stahl

Prof. Florian Stahl

University of Mannheim

Florian 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 modeling, 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.

Daniel Stemmer

Daniel Stemmer

Blue Yonder GmbH

Daniel Stemmer studied at the Karlsruhe Institute of 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 Yonder GmbH.

Malte Tichy

Dr. Malte Tichy

Blue Yonder GmbH

With a thesis on high-energy phenomenology, Malte Tichy received 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.

Stephan Reimann

Stephan Reimann

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.

Iaroslav Shcherbatyi

Iaroslav Shcherbatyi

Saarland University

Iaroslav 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 Saarland University, in Saarbrücken, Germany.

Saarland University

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. 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 (contact@iss.uni-saarland.de) 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 soon.
Registration fee
Master students295.00€
PhD students 295.00€
Professionals 695.00€

Registration for PhD and Master students

To register, please send a message with your name, your course of studies and your current semester to contact@iss.uni-saarland.de. 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 contact@iss.uni-saarland.de. 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

Sportschule 4
66123 Saarbrücken
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

Mainzerstraße 171
66121 Saarbrücken
Tel. +49 (0)681 6852020

Singleroom: 37€ without breakfast per day

Description: 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

Europaallee 14
66113 Saarbrücken
Tel. +49 (0)681 793080

Singleroom: 41€ per day

Description: Modern style 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

Hotel Schlosskrug

Schmollerstraße 14
66111 Saarbrücken
Tel. +49 (0)681 36735

Singleroom: 44€ inkl. breakfast per day

Homepage: 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&currency=EUR

Hotel Kaiserhof

Mainzerstraße 78
66121 Saarbrücken
Tel. +49 (0)681 687060

Singleroom: 54€ without breakfast per day  Breakfast +7,60€ per day


Best Western Hotel Victors Residenz

Kalmanstraße 47-51
66113 Saarbrücken
Telefon: +49 (6951) 709505

Singleroom: 94€ incl. Breakfast per day

Description: 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 farm.

Homepage: http://www.hrs.de/hotelData.do?hotelnumber=13833&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-8353_trivago_DE_B5&currency=EUR

Hotel am Triller

Trillerweg 57
66117 Saarbrücken
+49 (681) 580000

Singleroom: 96€ incl. Breakfast per day

Description: 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.

European Data Science Summerschool 2015


General Chair

Prof. Wolfgang Maaß

Local Organization

Sandra Hemm

Partners and Sponsors