700.370 (21S) Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation

Sommersemester 2021

Anmeldefrist abgelaufen.

Erster Termin der LV
05.03.2021 10:00 - 12:00 Online Off Campus
... keine weiteren Termine bekannt

Überblick

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Präsenz-Lehreveranstaltungen und Umstellung auf Online-Prüfungen) erforderlich sein.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
Lehrende/r
LV-Titel englisch
Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation
LV-Art
Vorlesung-Seminar (prüfungsimmanente LV )
LV-Modell
Onlinelehrveranstaltung
Semesterstunde/n
2.0
ECTS-Anrechnungspunkte
4.0
Anmeldungen
6 (20 max.)
Organisationseinheit
Unterrichtssprache
Englisch
LV-Beginn
05.03.2021
eLearning
zum Moodle-Kurs
Seniorstudium Liberale
Ja

Zeit und Ort

Beachten Sie bitte, dass sich aufgrund von COVID-19-Maßnahmen die derzeit angezeigten Termine noch ändern können.
Liste der Termine wird geladen...

LV-Beschreibung

Intendierte Lernergebnisse

In this seminar, students will get familiar with selected fundamentals of Self-Driving Vehicles. In particular, each student will deeply study one or more papers related to a subject related to data mining and/or pattern recognition in the frame of self-driving vehicles.

Lehrmethodik inkl. Einsatz von eLearning-Tools

GLOBAL PLAN:

###########

1) Kick-Off Meeting (at Semester begin): introductory presentation,  topics selection by the student, brief overview of related papers and documents.

2) Intermediate presentations (after 3 Weeks): here students present their global plannings and their first rough ideas. A related feedback is provided.

3) Final presentations: 1st-2nd week of June 

4) Final paper/report submission: around last week of June or first half of July

Inhalt/e

Selected topics (not exhaustive):
###########################
#  Learning Driver Behavior Models from Traffic Observations for DecisionMaking and Planning

#  Driver Behavior Profiling Using Smartphones

#  Modeling the Driving Behavior of Electric VehiclesUsing Smartphones and Neural Networks

# The Impact of an Anticipatory Eco-Driver Assistant System in Different Complex DrivingSituations on the Driver Behavior

#  Velocity-Based Driver Intent Inference at Urban Intersections in the Presence of Preceding Vehicles

#  The Attentive Co-Pilot: Towards a Proactive Biologically-Inspired Advanced Driver Assistance System.




 


Prüfungsinformationen

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 17W.1)
    • Fach: Bachelorarbeit Ingenieurwissenschaften (Pflichtfach)
      • 13a.1 Seminar aus dem Bereich Ingenieurwissenschaften ( 2.0h SE / 3.0 ECTS)
        • 700.370 Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (2.0h VS / 3.0 ECTS)
          Absolvierung im 6. Semester empfohlen
  • 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)
        • 700.370 Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (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)
        • 700.370 Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (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)
        • 700.370 Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (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)
        • 700.370 Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (2.0h VS / 4.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Sommersemester 2020
  • 700.370 VS Seminar on "DATA ANALYTICS" and "PATTERN RECOGNITION" in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2019
  • 700.370 SE Seminar on Data Science in Intelligent Transportation (2.0h / 3.0ECTS)
Sommersemester 2017
  • 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)
Sommersemester 2016
  • 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)
Sommersemester 2015
  • 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)
Sommersemester 2014
  • 700.370 SE Seminar on Data mining and Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)
Sommersemester 2013
  • 700.370 SE Seminar on Pattern Recognition in Intelligent Vehicle Technologies (2.0h / 4.0ECTS)