700.398 (21S) Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation"
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- Lehrende/r
- LV-Titel englisch Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation"
- LV-Art Seminar (prüfungsimmanente LV )
- LV-Modell Onlinelehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 4.0
- Anmeldungen 11 (20 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 12.03.2021
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
In this Seminar, the student obtains a basic and broad overview of Machine Learning tools/methods, which are crucially used in several interesting use-cases in the frame of Intelligent Transportation Systems. Furthers, he shall conduct a comprehensive literature review w.r.t. to selected topics or use-cases in the described context.
Selected applications fields of ITS in which Machine Learning (AI / Deep Learning) does play a very crucial role are:
# Autonomous driving cars
# Driver Monitoring Systems
# Industry 4.0 in Transportation and Logistics
# Cooperative intelligent transportation systems
# Social networks impact in/for intelligent mobility systems
# Traffic Lights Assistance systems
# Analysis of the potential synergy between Electric Vehicles and Smart Electric Grids
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 (weekly): here, students present their mini-seminars outcomes. A related feedback is provided.
3) Final presentations: second or last week June.
Inhalt/e
(1) Automated Machine Learning (what it is? + 1 potential application example in ITS?)
(2) Deep Autoencoder (what it is? + 1 potential application example in ITS?)
(3) Denoising Autoencoder (what it is? + 1 potential application example in ITS?)
(4) LSTM (what it is? + 1 potential application example in ITS?)
(5) Generative Adversarial Networks (what it is? + 1 potential application example in ITS?)(6) Spiking Neural Networks (what it is? + 1 potential application example in ITS?)
(7) Restricted Bolzmann Machines (what it is? + 1 potential application example in ITS?)
(8) Deep-Belief Neural Networks (what it is? + 1 potential application example in ITS?)
(9) Reinforcement Learning (what it is? + 1 potential application example in ITS?)
(10) Graph Analytics and Deep Learning (what it is? + 1 potential application example in ITS?)(11) Convolution Neural Networks (what it is? + 1 potential application example in ITS?)
Prüfungsinformationen
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
- 700.398 Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation" (2.0h SE / 4.0 ECTS)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
- 700.398 Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation" (2.0h SE / 4.0 ECTS)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
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Sommersemester 2024
- 700.398 SE Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation" (2.0h / 4.0ECTS)
-
Sommersemester 2023
- 700.398 SE Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation" (2.0h / 4.0ECTS)
-
Sommersemester 2022
- 700.398 SE Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation" (2.0h / 4.0ECTS)
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Sommersemester 2020
- 700.398 SE Research Seminar on "Neurocomputing and Machine Learning in Intelligent Transportation" (2.0h / 4.0ECTS)
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Sommersemester 2019
- 700.398 SE Research Seminar in Intelligent Transportation Systems (2.0h / 4.0ECTS)
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Sommersemester 2017
- 700.398 SE Research Seminar in Transportation Informatics (2.0h / 4.0ECTS)
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Sommersemester 2016
- 700.398 SE Research Seminar in Transportation Informatics (2.0h / 4.0ECTS)
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Sommersemester 2015
- 700.398 SE Research Seminar in Transportation Informatics (2.0h / 6.0ECTS)
-
Sommersemester 2014
- 700.398 SE Research Seminar in Transportation Informatics (2.0h / 6.0ECTS)
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Sommersemester 2013
- 700.398 SE Research Seminar in Transportation Informatics (2.0h / 6.0ECTS)