Advanced Machine Learning for Anomaly Detection [[AdvMLAD]]

Lecturers:

Bernhard Kainz, Johanna Müller

Details:

Seminar, 2 cred.h, für FAU Scientia Gaststudierende zugelassen

Dates:

to be determined

Fields of study:

WPF DS-MA-AI 1

How to teach programming. [TPROG]

Details:

Übungsseminar, 2 cred.h, für FAU Scientia Gaststudierende zugelassen

Kolloquium Machine Learning for Health Data Science [Koll-MLHDS]

Lecturer:

Bernhard Kainz

Details:

Kolloquium, 3 cred.h, für FAU Scientia Gaststudierende zugelassen

Dates:

Fri, 12:00 - 15:00, Zoom-Meeting

Kolloquium Normative Representation Learning [KollNormLearn]

Lecturer:

Bernhard Kainz

Details:

Vorlesung, 2 cred.h, für FAU Scientia Gaststudierende zugelassen

Dates:

Wed, 17:00 - 19:00, Zoom-Meeting

Medizintechnik II [MT2]

Lecturers:

Florian Knoll, Bernhard Kainz

Details:

Vorlesung, 4 cred.h, ECTS: 3,75, für Anfänger geeignet, für FAU Scientia Gaststudierende zugelassen, This course will be held online. The blackboard exercises will start in the first (!) week (29.4) and the computer exercises in the third week (9.5-13.5). Old lecture videos can be found at https://www.video.uni-erlangen.de/course/id/1022 and all further information can be found on StudOn https://www.studon.fau.de/crs4223415.html

Fields of study:

PF MT-BA 2

Medizintechnik II Rechnerübung [MT2-RUE]

Lecturers:

Johanna Müller, Florian Knoll, Marc Vornehm, Jinho Kim, Mischa Dombrowski, Bernhard Kainz

Details:

Übung, 2 cred.h, für Anfänger geeignet, für FAU Scientia Gaststudierende zugelassen, This course will be held in person. The exercises will start in the third week (9.-.13.5.)

Fields of study:

PF MT-BA 2

Medizintechnik II Tafelübung [MT2-TUE]

Details:

Übung, 2 cred.h, ECTS: 1,25, für Anfänger geeignet, für FAU Scientia Gaststudierende zugelassen, This course will be held in person. Please note that the first meeting will be on Friday 29.4.

Fields of study:

PF MT-BA 2

Medizintechnik II Tutorenbesprechung [MT2-TUT]

Lecturers:

Johanna Müller, Nora Gourmelon, Florian Knoll, Bernhard Kainz

Details:

Übung, 2 cred.h

Dates:

Fri, 8:15 - 9:45, 00.151-113

Project Representation Learning [PRL]

Lecturers:

Bernhard Kainz, Johanna Müller, Mischa Dombrowski

Details:

Sonstige Lehrveranstaltung, 8 cred.h, ECTS: 10, nur Fachstudium

Dates:

to be determined

Fields of study:

WPF AI-MA ab 1
WPF MT-BA-BV ab 1
WPF INF-BA ab 1
WPF DS-MA-DW ab 1

Prerequisites / Organisational information:

recommended:
Deep Learning ML Prof. Dr. Andreas Maier 2+2 5 x E
Pattern Recognition ML Prof. Dr. Andreas Maier 3+1+2 5 x E
Maschinelles Lernen für Zeitreihen ML Prof. Eskofier, Prof. Oliver Amft, Dr. Ch. Mutschler 2+2+2 7.5 x E