Universität Wien

052611 VU Multimedia Content Management (2025S)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Prüfungsimmanente Lehrveranstaltung
Moodle
Mo 28.04. 11:30-13:00 Hörsaal 2, Währinger Straße 29 2.OG

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Participation in the first course unit is mandatory.

  • Montag 03.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 07.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 10.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 14.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 17.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 21.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 24.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 28.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 31.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 04.04. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 07.04. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 11.04. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Freitag 02.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 05.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 09.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 12.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 16.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 19.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
    Hörsaal C1 UniCampus Hof 2 2G-O1-03
  • Freitag 23.05. 09:45 - 11:15 Hörsaal C1 UniCampus Hof 2 2G-O1-03
    Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 26.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 30.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 02.06. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 06.06. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Freitag 13.06. 09:45 - 11:15 Hörsaal C1 UniCampus Hof 2 2G-O1-03
    Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 16.06. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
    Hörsaal I NIG Erdgeschoß
  • Freitag 20.06. 09:45 - 11:15 Hörsaal C1 UniCampus Hof 2 2G-O1-03
    Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 23.06. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 27.06. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Montag 30.06. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This lecture aims to understand the fundamental concepts, methods, and techniques for the organization, modeling, storage, and management of semi-structured multimedia content. It will include the concepts of documents, document models, various XML technologies for modeling and storing semi-structured information, access technologies and languages for querying semi-structured information, fundamentals of NoSQL databases, description formats and metadata schemes, frameworks and languages (e.g., XML- or RDF-based languages) for supporting the storage and access to semi-structured data. 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]

Art der Leistungskontrolle und erlaubte Hilfsmittel

Two written exams 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.

Mindestanforderungen und Beurteilungsmaßstab

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 maximum 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.

Grading scale:
89% <= P <= 100% Sehr Gut (1)
76% <= P < 89% Gut (2)
63% <= P < 76% Befriedigend (3)
50% <= P < 63% Genügend (4)
0% <= P < 50% Nicht Genügend (5)

Prüfungsstoff

All the topics covered by the course.

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Module: MCM MM1

Letzte Änderung: Di 18.02.2025 16:26