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.

2022W, SE, 2.0h, 3.0EC
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. Thematic foci for the winter semester 2022/23 will be announced at the preliminary meeting.

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: Wednesday, 12 October 2022, 11.00 - 13.00 in the Seminarraum FAV 01 A (Seminarraum 183/2).

The final presentations are expected to be held on Thursday 19 January 2023 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.

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
Wed11:00 - 13:0012.10.2022Seminarraum FAV 01 A (Seminarraum 183/2) Preliminary Meeting
Thu09:00 - 12:0019.01.2023Seminarraum FAV 01 A (Seminarraum 183/2) Final Presentations

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
29.08.2022 12:00 05.10.2022 23:59 05.10.2022 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 as well as the Masters programmes Media and Human-Centered Computing or Visual Computing.

Language

if required in English