700.399 (22S) Privatissimum for Master and PhD-Students
Überblick
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- Lehrende/r
- LV-Titel englisch Exclusive seminar for Master and PhD students
- LV-Art Privatissimum (prüfungsimmanente LV )
- LV-Modell Präsenzlehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 6.0
- Anmeldungen 12 (40 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 18.03.2022
- 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
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.
Prüfungsinformationen
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Fach: Privatissimum
(Pflichtfach)
-
Privatissimum (
0.0h PV / 6.0 ECTS)
- 700.399 Privatissimum for Master and PhD-Students (2.0h PV / 6.0 ECTS)
-
Privatissimum (
0.0h PV / 6.0 ECTS)
-
Fach: Privatissimum
(Pflichtfach)
- Doktoratsstudium Doktoratsstudium der Technischen Wissenschaften
(SKZ: 700, Version: 18W.1)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 32.0 ECTS)
- 700.399 Privatissimum for Master and PhD-Students (2.0h PV / 6.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 32.0 ECTS)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)