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.
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 firstname.lastname@example.org.
We accept registrations until 31st of August, 2017.
This year the Data Science Summer School is splitting in five topics during the week. We will start with Statistic Basics at the first day. After that we will discuss the topic Predecitve Modelling and Machine Learning on wednesday. Before we concern with Research in Data Science at the closing day, we will talk about Advanced Topics.
Wolfgang Maaß (Maass) is professor in Business Informatics at Saarland University, scientific director at Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI), and adjunct professor Stony Brook University Health Sciences Center School of Medicine, NY. 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). He was post-doc researcher at the Institute of Technology Management (ITEM) and Media and Communications Management Institute (MCM) at the University of St. Gallen, Switzerland where he also received his habilitation by he Department of Management. Previously he was lecturer at the University of St. Gallen and professor of media and computer science at Furtwangen University, Germany. 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 at MD Anderson Cancer Center, University of Texas, TX and at the Department for Biomedical Informatics at Stony Brook University Health Sciences Center School of Medicine, NY. In his research he investigates the transformation of industries by applying methods of Artificial Intelligence.
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).
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.
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.
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.
Felix Martin Schuhknecht is a postdoctoral researcher at the Information Systems chair of Prof. Jens Dittrich in the Computer Science Department of Saarland University, where he finished his Ph.D. studies in 2016. 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, SIGMOD DaMoN, and BTW. 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. Currently, he is a member of the program committee of ICDE 2017 as well as the VLDB 2017 demo track. In addition, he has served as an external reviewer for several data management conferences including ACM SIGMOD, VLDB, ICDE, BTW, and SOCC.
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.
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.
Participants get 4 ECTS for participating at the 4th European Data Science Summer School. After the Summer School, 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 (email@example.com) until 31st of August, 2017.
Registration 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.
|Master students||295.00 Euro;|
|PhD students||295.00 Euro;|
To register, please send a message with your name, your course of studies and your current semester to firstname.lastname@example.org.
To register, please send an application including CV and motivation letter until 31st of July, 2017 to email@example.com. If you are accepted you will get an email with future information.
The 2017 European Data Science Summer School will be held at Saarland University, in Saarbrücken, Germany.
Tel. +49(0)681 3879494
Doubleroom: 40 Euro incl. Breakfast per day (for each person)
Tel. +49 (0)681 793080
Singleroom: 46.5 Euro per day
Telefon: +49 (6951) 709505
Singleroom: 94 Euro incl. Breakfast per day
+49 (681) 580000
Singleroom: 107.15 Euro incl. Breakfast per day