Tings, Björn and Imber, James and Kortum, Karl and Murashkin, Dmitrii (2021) Data Science and Big Data. Kursreihe „Data Train“, 2021-03-10, online.
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Abstract
Parallel to the digital transformation, a novel scientific discipline has been developed – data science. Data science allows new approaches for interdisciplinary (big) data analyses through complex algorithms and artificial intelligence (machine learning, deep learning etc.). Such approaches extract information from the data sets beyond the current scientific knowledge. Therefore, data science is of interest for nearly all research as well as industry/economy fields and often termed as a novel key discipline (e.g. Society of Informatics e.V., 2019). This course provides a basic overview about data science applications. To produce reliable data science results a profound knowledge about the data analyses methods, data management techniques and innovative technologies is required. Additionally, to assess these results and approaches an awareness of their ethical, legal, and social implications is demanded (all topics are addressed in the following courses and operator tracks).
| Item URL in elib: | https://elib.dlr.de/141248/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Lecture) | ||||||||||||||||||||
| Additional Information: | Data Train–Training in Research Data Management and Data Science, https://www.uni-bremen.de/research-alliance/forschungsdaten/data-train - open online lectures | ||||||||||||||||||||
| Title: | Data Science and Big Data | ||||||||||||||||||||
| Authors: |
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| Date: | 10 March 2021 | ||||||||||||||||||||
| Refereed publication: | No | ||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Overview, Terminology, Data Science, Machine Learning, Big Data, AI, Ethics, Applications | ||||||||||||||||||||
| Event Title: | Kursreihe „Data Train“ | ||||||||||||||||||||
| Event Location: | online | ||||||||||||||||||||
| Event Type: | Other | ||||||||||||||||||||
| Event Date: | 10 March 2021 | ||||||||||||||||||||
| Organizer: | University of Bremen Research Alliance (UBRA) | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
| DLR - Research theme (Project): | R - SAR methods | ||||||||||||||||||||
| Location: | Bremen , Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | ||||||||||||||||||||
| Deposited By: | Kaps, Ruth | ||||||||||||||||||||
| Deposited On: | 16 Mar 2021 13:39 | ||||||||||||||||||||
| Last Modified: | 24 Apr 2024 20:41 |
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