252-5707-00L  Seminar on Media Innovation

SemesterHerbstsemester 2020
DozierendeM. Gross, S. Kalloori Saikishore, S. Klingler
Periodizitätjährlich wiederkehrende Veranstaltung
KommentarNumber of participants limited to 24.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.


252-5707-00 SSeminar on Media Innovation2 Std.
Di14:00-16:00ON LI NE »
M. Gross, S. Kalloori Saikishore, S. Klingler


KurzbeschreibungThis seminar introduces students to research and innovation in the area of media technology.
LernzielThe objectives of this seminar are twofold: (1) learning about recent developments in the area of media technology at the intersection of computer vision, computer graphics, natural language processing, and machine learning and (2) to improve presentation and critical analysis skills.
InhaltThe media industry is undergoing a fundamental transformation caused by digitalization. Media consumption is shifting away from traditional media such as TV or newspaper towards mobile and delayed consumption. The boundaries between media producers and consumers are getting blurred, and personalized content is increasingly important. Machine learning and AI are crucial tools to help to create better content, understand the consumers’ preferences and surface the essential stories in times of information overload.

This seminar introduces students to the latest research in the field of media technology and innovation. It is an exciting field laying at the intersection of computer vision, computer graphics, natural language processing, and machine learning. The seminar will cover a broad spectrum of topics considering not only the technical innovations but also the possibilities these technologies provide to professionals in the media industry and consumers of media.


Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte2 KP
PrüfendeM. Gross, S. Kalloori Saikishore, S. Klingler
Formbenotete Semesterleistung
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.


Es werden nur die öffentlichen Lernmaterialien aufgeführt.


Keine Informationen zu Gruppen vorhanden.


PlätzeMaximal 24
VorrangDie Belegung der Lerneinheit ist nur durch die primäre Zielgruppe möglich
Primäre ZielgruppeInformatik BSc (252000)
WartelisteBis 27.09.2020

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