Universität Wien FIND

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Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter https://studieren.univie.ac.at/info.

052611 VU Multimedia Content Management (2020S)

Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

!! UPDATE: All organizational adjustments due to regulations wrt the Corona crisis will be announced in writing for you as participants of the course in Moodle and also sent via e-mail.

Freitag 06.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 09.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 13.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 16.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 20.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 23.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 27.03. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 30.03. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 03.04. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 20.04. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 24.04. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 27.04. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Montag 04.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 08.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 11.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 15.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 18.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 22.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 25.05. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 29.05. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Freitag 05.06. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 08.06. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 12.06. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 15.06. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 19.06. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Montag 22.06. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
Freitag 26.06. 09:00 - 12:00 Seminarraum 4, Währinger Straße 29 1.UG
Seminarraum 5, Währinger Straße 29 1.UG
Montag 29.06. 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, description formats and metadata schemes, framework 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 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]

!! UPDATE: All organizational adjustments due to regulations wrt the Corona crisis will be announced in writing for you as participants of the course in Moodle and also sent via e-mail.

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.

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: Mo 07.09.2020 15:20