Universität Wien
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052614 VU Multimedia and Semantic Technologies (2026S)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 02.03. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 02.03. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 09.03. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 09.03. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 16.03. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 16.03. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 23.03. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 23.03. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 13.04. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 13.04. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 20.04. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 20.04. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 27.04. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 27.04. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 04.05. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 04.05. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 11.05. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 11.05. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 18.05. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 18.05. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 01.06. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 01.06. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 08.06. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 08.06. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 15.06. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 15.06. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 22.06. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 22.06. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 29.06. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
  • Monday 29.06. 16:45 - 18:15 Seminarraum 7, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

This lecture aims to understand concepts, methods, and techniques for creating and managing multimedia content on the Web, for the semantic enrichment of multimedia content, and the foundations of human-based computing and social networks. Students are expected to be able to understand and apply the concepts, methods, and techniques, and to use these for the implementation of systems and applications.

Please note the following recommendation for taking this course:
Take these courses first:
(MRE) Multimedia Representation & Encoding [recommended to be taken in Bachelor Program]
(MCM) Multimedia Content Management [recommended to be taken in Bachelor Program]

Then take these courses after the ones mentioned above:
(MRS) Multimedia Retrieval and Content-Based Search [recommended to be taken in Master Program]
*(MST) Multimedia and Semantic Technologies [recommended to be taken in Master Program]

The mode and format of this course may be subject to change after the registration deadline, depending on the final number of registrations.

Assessment and permitted materials

Two written examinations (tests) during the semester.
Three assignments to be submitted throughout the semester,
each will be graded separately.
Grading will be based on
- the degree of completion of the assigned tasks
- the demonstrated understanding of the technologies and underlying concepts and theories.
No aids are allowed in exams and tests.

The use of generative AI tools is generally not permitted unless you are explicitly asked to do so.
You must adhere to the » rules of academic integrity for this course (see download) in order to be assessed. Violation of these rules may result in an assessment as a case of plagiarism.

Minimum requirements and assessment criteria

Gain a more profound and thorough understanding of the topics presented in the course.

The final mark is calculated based on the two written exams (each 20%) and the three assignments (assignment 1: 20%, assignment 2: 20%, assignment 3: 20%). In the context of each assignment, one can receive up to 4 bonus points per assignment, i.e., 12 bonus points in total.

To achieve positive grading students
- must submit a solution for each project assignment, and
- need to reach at least 50% of the regular maximum points (excluding bonus points) achievable over all assignments, and
- need to reach at least 50% of the maximum points achievable over all written exams, and
- need to be present at each assessment meeting for the assignments if requested.
- Attendance is mandatory in the event of an individually conducted plausibility check of the submitted contributions (e.g., suspicion of plagiarism, unauthorized aids including AI tools, group work, etc.).

Grading scale, P total points earned:
89 <= P : Sehr Gut (1)
76 <= P < 89 : Gut (2)
63 <= P < 76 : Befriedigend (3)
50 <= P < 63 : Genügend (4)
0 <= P < 50 : Nicht Genügend (5)

Examination topics

All the topics covered by the course.

Reading list

Lecture Slides.
Required and recommended readings listed at the end of each chapter.
Additional papers may be available through Moodle.

Association in the course directory

Module: MST MM3

Last modified: Tu 17.02.2026 17:25