700.320 (19W) Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems

Wintersemester 2019/20

Ende der Anmeldefrist
04.10.2019 23:59

Erster Termin der LV
02.10.2019 16:00 - 18:00 , B04.2.210 Besprechungsraum IST
Nächster Termin:
09.10.2019 16:00 - 18:00 , B04.2.210 Besprechungsraum IST

Überblick

Lehrende/r
LV-Titel englisch
Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems
LV-Art
Vorlesung-Seminar (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
4.0
Anmeldungen
1 (30 max.)
Organisationseinheit
Unterrichtssprache
Englisch
LV-Beginn
02.10.2019
Seniorstudium Liberale
Ja

LV-Beschreibung

Intendierte Lernergebnisse

At the end of the seminar, each student should have been confronted with the following aspects:

  • A brief overview of basic concepts of modern Telecommunications and/or Intelligent Transportation Systems
  • A brief overview of basic concepts with respect to Big Data, Analytics, and Machine Learning
  • A detailed view of a selected topic supported by one or more papers from the relevant literature. See list of selected topics

Lehrmethodik

This Seminar lecture trains the students in an extensive independent research-oriented coached self-learning.

Inhalt/e

Selected Topics, just for illustration:

A) Telecommunications Systems

  • Big Data in Telecommunication Operators: Data, Platform and Practices
  • Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks
  • Big Data-Driven Optimization for Mobile Networks toward 5G
  • Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest 
  • A Survey for Mobility Big Data Analytics for Geolocation Prediction
  • Smartbuddy: Defining Human Behaviors Using Big Data Analytics in Social Internet of Things
  • Use cases and challenges in telecom big data analytics 

B) Intelligent Transportation Systems

  • Big Data Analytics Architecture for Real-Time Traffic Control
  • Big Data Analytics in Intelligent Transportation Systems: A Survey
  • Big Data for Social Transportation
  • Big Data Driven Vehicular Networks
  • Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data
  • Data-Driven Prediction System of DynamicPeople-Flow in Large Urban Network Using Cellular Probe Data
  • Data-Driven Reinforcement Learning–BasedReal-Time Energy Management System for Plug-In Hybrid Electric Vehicles
  • Urban Transportation System Analytics And Optimization: A Sensor Data-Driven Approach
  • Smart cities with big data: Reference models, challenges, and considerations

Prüfungsinformationen

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 17W.1)
    • Fach: Informationstechnische Vertiefung (Wahlfach)
      • 10a.3 Wahl von Lehrveranstaltungen ( 0.0h VO/VC/KS/UE / 6.0 ECTS)
        • 700.320 Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.320 Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.320 Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.320 Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.320 Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems (2.0h VS / 4.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technische Ergänzung I (Pflichtfach)
      • 2.1-2.2 Vorlesung mit Kurs oder Vorlesung mit Seminar ( 4.0h VK/VS / 8.0 ECTS)
        • 700.320 Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems (2.0h VS / 4.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technische Ergänzung II (Pflichtfach)
      • 3.1-3.3 Vorlesung mit Kurs oder Vorlesung mit Seminar ( 6.0h VK/VS / 12.0 ECTS)
        • 700.320 Seminar on Big Data, Predictive Analytics, and Automation in Telecommunications and Intelligent Transportation Systems (2.0h VS / 4.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2018/19
  • 700.320 VS Telecommunication Systems Engineering (2.0h / 4.0ECTS)
Wintersemester 2017/18
  • 700.320 VS Telecommunication Systems Engineering (2.0h / 4.0ECTS)
Wintersemester 2016/17
  • 700.320 VS Telecommunication Systems Engineering (2.0h / 4.0ECTS)
Wintersemester 2015/16
  • 700.320 VS Telecommunication Systems Engineering (2.0h / 4.0ECTS)
Wintersemester 2014/15
  • 700.320 VS Telecommunication Systems Engineering (2.0h / 4.0ECTS)
Wintersemester 2013/14
  • 700.320 VS Telecommunication Systems (2.0h / 4.0ECTS)
Wintersemester 2012/13
  • 700.320 VS Telecommunication Systems (2.0h / 4.0ECTS)