Big Data Systeme (Wintersemester 2023/2024)
Dozent:
Prof. Dr. Tilmann Rabl
(Data Engineering Systems)
,
Nils Straßenburg
(Data Engineering Systems)
,
Ricardo Salazar Diaz
(Data Engineering Systems)
Alle Informationen zu Inhalten, Leistungserfassung und Terminen finden Sie unter folgender Adresse:
Website zum Kurs:
https://hpi.de/rabl/teaching/winter-term-2023-24/big-data-systems.html
Allgemeine Information
- Semesterwochenstunden: 4
- ECTS: 6
- Benotet:
Ja
- Einschreibefrist: 01.10.2023 - 31.10.2023
- Prüfungszeitpunkt §9 (4) BAMA-O: 07.02.2024
- Lehrform: Vorlesung / Übung
- Belegungsart: Pflichtmodul
- Lehrsprache: Englisch
Studiengänge, Modulgruppen & Module
- IT-Systems Engineering
- IT-Systems Engineering
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- Data Engineering
- HPI-DA-SYS Data Systems Foundations
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-C Concepts and Methods
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-T Technologies and Tools
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-S Specialization
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
- SECA: Security Analytics
- HPI-SECA-K Konzepte und Methoden
- SECA: Security Analytics
- HPI-SECA-T Techniken und Werkzeuge
- SECA: Security Analytics
- HPI-SECA-S Spezialisierung
- HPI-SSE-D Data Foundations
Zurück