188.941 Seminar in Computer Vision
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, SE, 2.0h, 3.0EC, to be held in blocked form
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to...

  • independently research scientific literature in the field of computer vision and pattern recognition and to critically deal with it
  • write a simple scientific paper that complies with the rules of academic practice
  • summarize the findings of their literary work in a technical presentation and to discuss them in a group of colleagues


Subject of course

Seminar on selected topics in the area of Computer Vision and Pattern Recognition.

Didactic background: In the course of the seminar and through individual monitoring, students will be familiarized with the procedure of literature research, critical assessment and follow-up work by writing a seminar paper. Although approaches will depend on the selected topic of the paper, students should focus on scientific literature in English. Another important aspect of this seminar will be the practicing of students' presentation skills.

Teaching methods

In the course of the seminar and through individual monitoring, students will be familiarized with the procedure of literature research, critical assessment and follow-up work by writing a seminar paper. Although approaches will depend on the selected topic of the paper, students should focus on scientific literature in English. Another important aspect of this seminar will be the practicing of students' presentation skills, as there is individual feedback given after the final presentations.

Mode of examination

Written and oral

Additional information

Preliminary meeting: Tuesday, 21 March 2023 10:00-12:00 AM, in the Seminarraum FAV 01 A (Seminarraum 183/2) seminar room.

The final presentations are expected to be held on Tuesday 27 June 2023 from 08:00 - 12:00 in the Seminarraum FAV 01 A (Seminarraum 183/2) seminar room. The actual times and dates will be announced as soon as the number of participants is known. Further dates will be announced in this first meeting.

The preliminary meeting and the final presentations are planned as in-person sessions.

Further dates will be announced during the preliminary meeting.

This course represents 3 ECTS (= 75 hours) and approximately 12 hours of these require compulsory attendance (for the final presentations, preliminary meeting, etc.).  The remaining hours are intended for the creation and completion of your written paper and presentation slides as well as individual supervision (including feedback on the seminar papers and presentations).

 

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue10:00 - 12:0021.03.2023Seminarraum FAV 01 A (Seminarraum 183/2) Preliminary Meeting
Tue08:00 - 12:0027.06.2023Seminarraum FAV 01 A (Seminarraum 183/2) Final Presentations
Course is held blocked

Examination modalities

  • Grading of a written seminar paper (to be handed in online, in the TUWEL course)
  • Assessment of scientific presentation
  • Participation in discussions

Course registration

Begin End Deregistration end
13.02.2023 00:00 07.03.2023 23:59 26.03.2023 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 932 Visual Computing Mandatory2. Semester
066 935 Media and Human-Centered Computing Mandatory elective
066 936 Medical Informatics Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

A working knowledge of computer vision and pattern recognition is essential. This knowledge can be acquired in relevant courses of the Bachelor programme Media Informatics and Visual Computing and of the Master programmes Visual Computing or Media and Human-Centered Computing.

Language

English