Veranstaltungsbeschreibung

335103b Big Data Projekt

Zuletzt geändert:26.01.2021 / von Carlsburg
EDV-Nr:335103b
Studiengänge: Online-Medien-Management (Bachelor, 7 Semester) , Prüfungsleistung im Modul Big Data Scenarios in Semester 7
Häufigkeit: derzeit nicht im Angebot
Studienübergreifendes Angebot - Minors, Prüfungsleistung im Modul Big Data Scenarios in Semester 1
Häufigkeit: immer
Wirtschaftsinformatik und digitale Medien (Bachelor, 7 Semester) , Prüfungsleistung im Modul Big Data Scenarios in Semester 7
Häufigkeit: derzeit nicht im Angebot
Dozent: Prof. Dr. Hendrik Meth
Sprache: Deutsch
Art: P
Umfang: 2 SWS
ECTS-Punkte: 6
Inhaltliche Verbindung zu anderen Lehrveranstaltungen im Modul: This course is part of a module. The second course belonging to this module is 335103a Big Data Scenarios - Lecture
Prüfungsform:
Beschreibung: The module “Big Data Scenarios“ introduces students to the analysis of large volumes of text data in different formats (structured, semi-structured, unstructured). The module consists of four elements: • The lecture introduces Big Data architectures, methods and concepts. To get an in-depth understanding of the introduced methods, they are applied in two types of labs: • tool-based labs, using state-of-the-art data science software (RapidMiner) and • method-based labs without any specific data science tool support. • Finally, students work in teams to implement a full big data analytics solution, applying the methods and tools, which they got to know in the labs. The module has no formal pre-requisites, but is addressed to bachelor students in their final semesters. No programming is required but good analytic skills, a high motivation and an interest to develop models.
English Title: Big Data Project