Veranstaltung
Summer School "Data Science"| Titel der Veranstaltung | Summer School "Data Science" |
| Reihe | International Short Term Programs Göttingen |
| Veranstalter | Prof. Dr. Ramin Yahyapour |
| Veranstaltungsart | Tagung |
| Kategorie | Karriere und Weiterbildung |
| Anmeldung erforderlich | Ja |
| Beschreibung | Advanced technologies are fast adopted by researchers and research communities and enable new ways for generating, processing, structuring and collaboratively using 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. In the near future data scientists will become indispensable for research and scientific work in all disciplines worldwide. You, as a young researcher, should know what data science means, what the implications for scientific inquiry are, and what skills a data scientist will need to be productive in a world deluged by data. This summer school can improve your existing knowledge and skills and pave your way in becoming a data scientist. It aims at giving you the chance to not only learn new methods and technologies on a theoretical level but also to apply those in interactive and collaborative sessions. This two-week summer school will be an extremely interesting, interactive, and intensive course. It aims at advanced MA- and beginning PhD students from any discipline who are interested in learning about the many facets of data science. 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 cover - Data management, Data sharing and Data publication - Open Science - Legal and ethical aspects (e.g. Licensing, Copyright) - Infrastructures and Platforms (HPC, CloudComputing, CloudStorage) - Mathematical and Statistical Methods - Data processing I (eg. Text, Image and Database Analysis) - Data processing II (eg. Visualization & storytelling) - Application Examples All topics will be complemented with exercises from real world examples. In addition, there will be short presentations, interactive sessions and team work, enabling participants to present and discuss their work and ideas. The Social Program includes different events such as sightseeing tours, hiking trips or a joint barbecue. For further information and application please visit www.uni-goettingen.de/shorttermprograms. |
| Zeit | Beginn: 06.08.2018, 09:00 Uhr Ende: 06.08.2018 , 17:00 Uhr |
| Ort | Tagungs- und Veranstaltungshaus Alte Mensa (Wilhelmsplatz 3) |
| Kontakt |
39-21350 katharina.jannasch@zvw.uni-goettingen.de |
| Externer Link | http://www.uni-goettingen.de/de/data+science/57... |