Institute of Imaging & Computer Vision Lectures   Mathematical Methods of Electrical Engineering 09.10.24 08:30 - 10:00 H01 (1385|101) Biomedical Imaging 11.10.24 08:30 - 10:00 ICT Cubes 001 (2320|001) Visual Media Communication 08.04.25 08:30 - 10:45 ICT Cubes 001 (2320|001) Digital Image Processing 07.04.25 10:30 - 12:00 H07 (1385|104) Exercises   MMET Übungsklausur 09.12.24 16:00 - 17:30 Sparkassenforum (nur ePruefungen) (1040|U234) Mathematical Methods of Electrical Engineering 11.10.24 10:30 - 12:00 H02 (1385|102) Biomedical Imaging 11.10.24 10:30 - 12:00 ICT Cubes 001 (2320|001) Digital Image Processing 07.04.25 12:30 - 13:15 H07 (1385|104) Seminars   Seminar Intelligent Processing and Analysis of Data 08.10.24 16:30 - 17:15 2321|132 Seminar Intelligent Processing and Analysis of Data 10.04.25 13:00 - 13:15 2321|132 Projects   Project Electrical Engineering and Information Technology 11.12.24 09:00 - 16:30 t.b.d. Laboratories   Laboratory Machine Learning t.b.d. Laboratory Machine Learning t.b.d. Lectures in winter term

Junior Professorship for Biomedical Image Analysis Lectures   Image Data Analysis 19.10.2023, 08:30 – 12:00 (offered only in the winter term) 2350|111 (AH II, Ahornstr. 55, 1. floor) / Zoom (see Moodle)   Seminars   Current Trends in 3D Image Analysis 17.10.2022, 16:15 – 18:00 (offered only in the winter term, max. 10 participants) ICT Cubes 001 (2320|001) / Zoom (see Moodle) Lectures in summer term   Pattern Recognition in Image Data XX.XX.2024, t.b.a. (offered only in the summer term) t.b.a / Zoom (see Moodle)

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Exam Dates:

Exam Dates in RWTHOnline

Small Group Exercise: MMET – Mathematical Methods in Electrical Engineering

https://online.rwth-aachen.de/RWTHonline/pl/ui/$ctx/wbLv.wbShowLVDetail?pStpSpNr=397386

The small group exercises require registration.

(The registration procedure coordinates the registrations for the different small group exercises of the 1st semester in the bachelor program Electrical Engineering, Information Technology and Computer Engineering, so that an overlap-free participation in the registered exercise groups is possible for each student according to the respective prioritization).

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