Deadline: 28 February 2017
Open to: BA-, MA- and beginning PhD students
Venue: 10– 21 July 2017, in Göttingen, Germany
The use of the term “data science” is increasingly common, as is “big data”. But what does it mean? What is unique about it? What skills do “data scientists” need to be productive in a world deluged by data? And what are the implications for scientific inquiry?
The fast adoption of advanced technologies by research communities enables new ways for generating, processing, structuring, and the collaborative use of data. This does not only have a profound impact on the amount of data produced, but also on the variety of data formats and the velocity of data generation and handling. With digital technology, new scientific questions can be addressed and old problems can be tackled, for which the technology has not been available so far. Consequently, scientists and research organizations have to cope with organizational challenges to manage data effectively and efficiently to support excellent research. It is therefore essential to acquire the skills necessary to deal with the evolving requirements.
This two-week summer school will be an extremely interesting, interactive, and intensive course. It aims at advanced BA-, MA- and beginning PhD students from any discipline who are interested in learning about the many facets of data science (e.g., data management, program analyzing, analyzing data, communicating results, etc.).
In a series of lectures, the participants will be introduced to the field of data science from different vantage points. Practical sessions will allow students to apply different theories and methods in practice, both individually and in teams.
Topics will be:
All topics will be complemented with exercises from real world examples, and project experience from our broad range of experts in the field.
In addition, there will be short presentations, enabling participants to present and discuss their work.
The Social Program includes:
Participants will be granted 6 ECTS credit points.
Credits in ECTS can only be obtained after successful completion of the work-load required. Student workload in ECTS consists of the time required to complete all planned learning activities such as attending lectures, seminars, independent and private study, preparation of projects, examinations, and so forth. The Summer School will take place at the historical building “Alte Mensa”, located at the Wilhelmsplatz in the center of Göttingen.
BA-, MA- and beginning PhD students from any discipline who are interested in learning about the many facets of data science (e.g., data management, program analyzing, analyzing data, communicating results, etc.)
In order to apply please fill the application.
For more information please visit the official web page.