Universität Wien

250008 VO Mathematical Image Processing (2020S)

3.00 ECTS (2.00 SWS), SPL 25 - Mathematik

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

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Due do the current situation, the lectures are offered via home -learning via Moodle.

  • Thursday 05.03. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 19.03. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 26.03. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 02.04. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.04. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 30.04. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 07.05. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 14.05. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 28.05. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 04.06. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 18.06. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 25.06. 11:30 - 13:00 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Basic concepts of mathematical image processing, such as statistics,
variational methods and PDEs are explained.

Assessment and permitted materials

Due do the current situation, the lectures are offered via home -learning via Moodle. For the practicum the exercise need to be submitted electronically. The lecture requires passing an oral exam.

Minimum requirements and assessment criteria

Oral Exam (if possible) at the end of the lectures-

Examination topics

Lecture Notes

Reading list

Due do the current situation, the lectures are offered via home -learning via Moodle.

Association in the course directory

MAMV, MANV

Last modified: Mo 07.09.2020 15:21