052613 VU Multimedia Retrieval and Content-Based Search (2020W)
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 14.09.2020 09:00 bis Mo 21.09.2020 09:00
- Abmeldung bis Mi 14.10.2020 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
!! NOTE: Due to SARS CoV-2, this course will take place in some hybrid form. Course units are held online, exams are planned to take place on-site. A detailed prospective schedule will be available via Moodle.
All organizational adjustments due to regulations wrt the SARS CoV-2 crisis will be announced in writing for you as participants of the course in Moodle and also sent via e-mail.
Freitag
02.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
06.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
07.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
09.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
13.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
14.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
16.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
20.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
21.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
23.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
27.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
28.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
30.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
03.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
04.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
06.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
10.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
11.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
13.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
17.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
18.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
20.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
24.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
25.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
27.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
01.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
02.12.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
04.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Mittwoch
09.12.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
11.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
15.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
16.12.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
18.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Freitag
08.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
12.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
13.01.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
15.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
19.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
20.01.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
22.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Dienstag
26.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Mittwoch
27.01.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Freitag
29.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Two written examinations (tests) during the semester. No aids are allowed during the exam.
Three assignments to be submitted throughout the semester,
each will be graded separately.
Grading will be based on
- the completion of the assigned tasks
- the demonstrated understanding of the technologies and underlying theories.
Three assignments to be submitted throughout the semester,
each will be graded separately.
Grading will be based on
- the completion of the assigned tasks
- the demonstrated understanding of the technologies and underlying 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)
- 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.
Selected Chapters of Manning et al. "Introduction to Information Retrieval", available at: http://nlp.stanford.edu/IR-book/information-retrieval-book.html
Additional papers will be available through Moodle.
Required and recommended readings listed at the end of each chapter.
Selected Chapters of Manning et al. "Introduction to Information Retrieval", available at: http://nlp.stanford.edu/IR-book/information-retrieval-book.html
Additional papers will be available through Moodle.
Zuordnung im Vorlesungsverzeichnis
Module: MRS MM2
Letzte Änderung: Mi 09.09.2020 16:07
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]!! NOTE: Due to SARS CoV-2, this course will take place in some hybrid form. Course units are held online, exams are planned to take place on-site.
All organizational adjustments due to regulations wrt the SARS CoV-2 crisis will be announced in writing for you as participants of the course in Moodle and also sent via e-mail.