700.395 (19S) Data Mining and Neurocomputing

Sommersemester 2019

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Erster Termin der LV
07.05.2019 09:00 - 12:30 , B01.0.203
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Überblick

Lehrende/r
LV-Titel englisch
Data Mining and Neurocomputing
LV-Art
Vorlesung-Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
4.0
Anmeldungen
26 (25 max.)
Organisationseinheit
Unterrichtssprache
Englisch
LV-Beginn
07.05.2019
eLearning
zum Moodle-Kurs
Seniorstudium Liberale
Ja

LV-Beschreibung

Intendierte Lernergebnisse

 Data Mining and Neurocomputing have different applications in text categorization, e.g., spam filtering, fraud detection, optical character recognition, machine vision, e.g., face detection, licenses plate recognition, advanceddriver assistance systems, natural-language processing, e.g., spoken language understanding, market segmentation, e.g., predict if a customer will get a credit, and  bioinformatics, e.g.,  classify proteins or lipidomes according to their function.

The lecture will (a) explain the basic approaches of Data Mining and Neurocomputing models, (b) guide to transfer the acquired knowledge to solve classification problems for industry and research, and (c) show some use-cases and interesting applications from the state-of-the-art.

Lehrmethodik

Theory + practical examples (Matlab +Python)

Inhalt/e

  • Data preprocessing
  • Unsupervised Learning and Clustering
  • Supervised Learning (SVM, Bayes, Decision Trees, CNN, etc)
  • Reinforcement Learning
  • Deep Learning
  • Time series forecast
  • Evaluation Metrics

Prüfungsinformationen

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • 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)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 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)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 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)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 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)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Autonomous Systems and Robotics: Advanced (ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (siehe Anhang 3) ( 0.0h VK, VO / 30.0 ECTS)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Autonomous Systems and Robotics (WI) (Wahlfach)
      • Wahl aus dem LV-Katalog (siehe Anhang 3) ( 0.0h VK, VO / 30.0 ECTS)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 4.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Research Track (Methodischer Schwerpunkt) (Pflichtfach)
      • 4.2'-4.3' Theoretisch-Methodische Lehrveranstaltung I/II ( 0.0h VO/VK/VS/KU/PS / 6.0 ECTS)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 4.0 ECTS)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Fach: Information and Communications Engineering (Wahlfach)
      • 9.5 Data Mining and Neurocomputing ( 2.0h VC / 4.0 ECTS)
        • 700.395 Data Mining and Neurocomputing (2.0h VC / 4.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2017/18
  • 700.395 VC Data Mining and Neurocomputing (2.0h / 4.0ECTS)
Wintersemester 2016/17
  • 700.395 VC Data Mining and Neurocomputing (2.0h / 4.0ECTS)
Wintersemester 2015/16
  • 700.395 VC Data Mining and Neurocomputing (2.0h / 4.0ECTS)
Wintersemester 2013/14
  • 700.395 VK Data Mining in Intelligent Transportation and Logistics (2.0h / 4.0ECTS)
Wintersemester 2012/13
  • 700.395 VK Data Mining in Intelligent Transportation and Logistics (2.0h / 4.0ECTS)