252-5707-00L  Seminar on Media Innovation

SemesterAutumn Semester 2020
LecturersM. Gross, S. Kalloori Saikishore, S. Klingler
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber 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 hrs
Tue14:00-16:00ON LI NE »
M. Gross, S. Kalloori Saikishore, S. Klingler

Catalogue data

AbstractThis seminar introduces students to research and innovation in the area of media technology.
ObjectiveThe 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.
ContentThe 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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersM. Gross, S. Kalloori Saikishore, S. Klingler
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

Main linkInformation
Only public learning materials are listed.


No information on groups available.


Places24 at the most
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupComputer Science BSc (252000)
Waiting listuntil 27.09.2020

Offered in

Computer Science BachelorSeminarWInformation