Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice. Inform yourself about the current status on u:find and check your e-mails regularly. Registration is mandatory for courses and exams. Wearing a FFP2 face mask and a valid evidence of being tested, vaccinated or have recovered from an infection are mandatory on site.

Please read the information on studieren.univie.ac.at/en/info.

250008 VO Mathematical Image Processing (2020S)

3.00 ECTS (2.00 SWS), SPL 25 - Mathematik
Moodle

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).
Register/Deregister for this course

Details

max. 25 participants
Language: English

Examination dates

Tuesday 16.06.2020 Monday 29.06.2020

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