700.399 (24S) Privatissimum for Master and PhD-Students
Überblick
- 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 9 (30 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 08.03.2024
- 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.
Inhalt/e
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
Erwartete Vorkenntnisse
Curriculare Anmeldevoraussetzungen
Literatur
Prüfungsinformationen
Prüfungsmethode/n
Assessment in the Privatissimum may include active participation in discussions, presentations, research papers, and other individual or group assignments. Evaluation criteria will emphasize students' critical thinking, analytical skills, and contribution to the intellectual discourse.
Prüfungsinhalt/e
Topics related to the student project, or thesis work
Beurteilungskriterien/-maßstäbe
Questions on the activity conducted and results achieved by the student.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Doktoratsprogramm Information and Communications Engineering
(SKZ: ---, Version: 23W.1)
-
Fach: Information and Communications Engineering
(Pflichtfach)
-
Information and Communications Engineering (
0.0h XX / 0.0 ECTS)
- 700.399 Privatissimum for Master and PhD-Students (2.0h PV / 6.0 ECTS)
-
Information and Communications Engineering (
0.0h XX / 0.0 ECTS)
-
Fach: Information and Communications Engineering
(Pflichtfach)
- 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)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 22W.1)
-
Fach: Privatissimum zur Masterarbeit
(Pflichtfach)
-
1.8 Privatissimum zur Masterarbeit (
0.0h PV / 3.0 ECTS)
- 700.399 Privatissimum for Master and PhD-Students (2.0h PV / 3.0 ECTS)
-
1.8 Privatissimum zur Masterarbeit (
0.0h PV / 3.0 ECTS)
-
Fach: Privatissimum zur Masterarbeit
(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)