UnivIS
Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG 

W3-Professur für Image Data Exploration and Analysis

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

 
tbd.    N.N.

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

 
Tue10:15 - 11:45Zoom-Meeting  Knoll, F.
Kainz, B.

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

 
Tue12:00 - 14:0001.155-113 CIP  Tutoren
 
Wed8:00 - 10:0001.155-113 CIP  Tutoren
 
Wed10:00 - 12:0001.155-113 CIP  Tutoren
 
Fri10:00 - 12:0001.155-113 CIP  Tutoren
 
Fri14:00 - 16:0002.151-113 a CIP, 02.151-113 b CIP  Tutoren

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

 
Fri
n.V.
12:15 - 13:45
H8
n.V.
  N.N.

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

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