Lehrveranstaltungen in Stud.IP

aktuelles Semester
link to course in Stud.IP Studip_icon
Big Data
Subtitle:
This course provides information for the lecture and exercise ("PBL") in Big Data
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv3101_s24
Lecturer:
Prof. Dr. Stefan Schulte, Nisal Hemadasa Manikku Badu, Ulrike Schneider
Description:

This lecture discusses the fundamental concepts of modern Big Data systems. The following topics will be covered in the single lectures:

  • Data models for Big Data
  • NoSQL databases
  • Lambda architecture including batch, speed and serving layers
  • Kappa architecture
  • Concepts and tools for data stream processing
  • Current software tools for the processing of very large amounts of data
Performance accreditation:
m1871-2023 - Big Data<ul><li>p1895-2023 - Big Data: Subject theoretical and practical work</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Data Engineering (E-19)
Registered participants in Stud.IP: 113
Postings: 19
voriges Semester
link to course in Stud.IP Studip_icon
Big Data
Subtitle:
This course provides information for the lecture and exercise ("PBL") in Big Data
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv3101_s24
Lecturer:
Prof. Dr. Stefan Schulte, Nisal Hemadasa Manikku Badu, Ulrike Schneider
Description:

This lecture discusses the fundamental concepts of modern Big Data systems. The following topics will be covered in the single lectures:

  • Data models for Big Data
  • NoSQL databases
  • Lambda architecture including batch, speed and serving layers
  • Kappa architecture
  • Concepts and tools for data stream processing
  • Current software tools for the processing of very large amounts of data
Performance accreditation:
m1871-2023 - Big Data<ul><li>p1895-2023 - Big Data: Subject theoretical and practical work</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Data Engineering (E-19)
Registered participants in Stud.IP: 113
Postings: 19

Lehrveranstaltungen

Informationen zu den Lehrveranstaltungen und Modulen entnehmen Sie bitte dem aktuellen Vorlesungsverzeichnis und dem Modulhandbuch Ihres Studienganges.

Modul / Lehrveranstaltung Zeitraum ECTS Leistungspunkte
Modul: Elektrische Energiesysteme I: Einführung in elektrische Energiesysteme WiSe 6
Modul: Elektrische Energiesysteme II: Betrieb und Informationssysteme elektrischer Energienetze WiSe 6
Modul: Elektrische Energiesysteme III: Dynamik und Stabilität elektrischer Energiesysteme SoSe 6
Modul: Elektrotechnik II: Wechselstromnetzwerke und grundlegende Bauelemente SoSe 6
Modul: Elektrotechnisches Projektpraktikum SoSe 6
Modul: Prozessmesstechnik SoSe 4
Modul: Smart-Grid-Technologien WiSe, SoSe 6

Lehrveranstaltung: Seminar zu Elektromagnetischer Verträglichkeit und Elektrischer Energiesystemtechnik

weitere Information

WiSe, SoSe 2

SoSe: Sommersemester
WiSe: Wintersemester