Universität Wien

052611 VU Multimedia Content Management (2020S)

Continuous assessment of course work

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

!! 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.

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

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

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.

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 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)

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: MCM MM1

Last modified: Mo 07.09.2020 15:20