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 |