052611 VU Multimedia Content Management (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.02.2024 09:00 bis Do 22.02.2024 09:00
- Abmeldung bis Do 14.03.2024 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Montag
04.03.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
08.03.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
11.03.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
15.03.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
18.03.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
22.03.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
08.04.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
12.04.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
15.04.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
19.04.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
22.04.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Freitag
26.04.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
N
Montag
29.04.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
03.05.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
06.05.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
10.05.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
13.05.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
17.05.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Freitag
24.05.
09:45 - 11:15
Hörsaal C1 UniCampus Hof 2 2G-O1-03
Seminarraum 7, Währinger Straße 29 1.OG
Seminarraum 7, Währinger Straße 29 1.OG
Montag
27.05.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
31.05.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
03.06.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
07.06.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
10.06.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
14.06.
09:45 - 11:15
Hörsaal C1 UniCampus Hof 2 2G-O1-03
Seminarraum 6, Währinger Straße 29 1.OG
Seminarraum 6, Währinger Straße 29 1.OG
Montag
17.06.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
21.06.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Montag
24.06.
11:30 - 13:00
Hörsaal 2, Währinger Straße 29 2.OG
Freitag
28.06.
09:45 - 11:15
Seminarraum 7, Währinger Straße 29 1.OG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
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)
- 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.
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 02.04.2024 10:45
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]