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Data Science and Big Data

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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Official URL: https://www.uni-bremen.de/research-alliance/forschungsdaten/data-train/data-train-curriculum/starter-track?tx_cal_controller%5Bday%5D=10&tx_cal_controller%5Bmonth%5D=3&tx_cal_controller%5Btype%5D=tx_cal_phpicalendar&tx_cal_controller%5Buid%5D=11773&tx_cal

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/
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:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Tings, BjörnUNSPECIFIEDhttps://orcid.org/0000-0002-1945-6433UNSPECIFIED
Imber, JamesUNSPECIFIEDhttps://orcid.org/0000-0002-0803-5684UNSPECIFIED
Kortum, KarlUNSPECIFIEDhttps://orcid.org/0000-0002-8418-6484UNSPECIFIED
Murashkin, DmitriiUNSPECIFIEDhttps://orcid.org/0000-0002-5818-0038UNSPECIFIED
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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