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Departments >> Faculty of Engineering >> Department of Computer Science >>

Chair of Computer Science 5 (Pattern Recognition)

 

Cognitive Neuroscience for AI Developers [CNAID(A)]

Lecturers:
Patrick Krauß, Andreas Kist, Andreas Maier
Details:
Vorlesung, 4 cred.h, ECTS: 5, nur Fachstudium
Dates:
Wed, 10:15 - 11:45, H9
Thu, 14:15 - 15:45, HG
Fields of study:
WPF MT-BA ab 5
WPF IuK-MA-MMS-INF ab 1
WPF ICT-MA-MPS ab 1
WPF INF-MA ab 1
WPF INF-BA-V-ME ab 1
WPF MT-MA-BDV ab 1
WPF AI-MA ab 1
Prerequisites / Organisational information:
FAU students register for the written exam via meinCampus.
https://www.studon.fau.de/crs3690005.html

 

Deep Learning [DL(A)]

Lecturer:
Andreas Maier
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium, für FAU Scientia Gaststudierende zugelassen, Information regarding the online teaching will be added to the studon course
Dates:
Wed, 14:15 - 15:45, H7
Fields of study:
WPF ME-BA-MG6 4-6
WPF INF-MA ab 1
WPF MT-MA-BDV 1
WPF ME-MA-MG6 4-6
Prerequisites / Organisational information:
The following lectures are recommended:
  • Introduction to Pattern Recognition (IntroPR)

  • Pattern Recognition (PR)

Application via https://www.studon.fau.de/crs3888652.html

Keywords:
deep learning; machine learning

 

Deep Learning Exercises [DL E]

Lecturers:
Leonhard Rist, Zijin Yang
Details:
Übung, 2 cred.h, ECTS: 2,5, nur Fachstudium, This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course
Fields of study:
WPF ME-BA-MG6 4-6
WPF INF-MA ab 1
WPF ME-MA-MG6 1-3
Keywords:
deep learning; machine learning

 
 
Mon12:00 - 14:000.01-142 CIP  N.N. 
 
 
Tue18:00 - 20:000.01-142 CIP  N.N. 
 
 
Wed16:00 - 18:000.01-142 CIP  N.N. 
 
 
Thu14:00 - 16:000.01-142 CIP  N.N. 
 
 
Fri8:00 - 10:000.01-142 CIP  N.N. 
 

Deep Learning for Beginners (VHB-Kurs)

Lecturers:
Aline Sindel, Andreas Maier
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
Dates:
to be determined
Fields of study:
WPF INF-BA ab 3
WF MT-BA ab 3
WPF DS-BA ab 3
Prerequisites / Organisational information:
Requirements: mathematics for engineering, basic knowledge of python
Organization: This is an online course of Virtuelle Hochschule Bayern (VHB). Go to https://www.vhb.org to register to this course. FAU students register for the written exam via meinCampus.

 

Kolloquium Animal Speech [KAS]

Lecturer:
Alexander Barnhill
Details:
Kolloquium, 2 cred.h, ECTS: 2,5
Dates:
Fri, 10:30 - 12:30, 09.150

 

Kolloquium Computer Vision [CVK]

Lecturers:
Vincent Christlein, Frauke Wilm
Details:
Kolloquium, 2 cred.h
Dates:
Mon, 10:15 - 12:00, 09.150
Fields of study:
WPF MT-MA-BDV 1-2
WPF INF-MA ab 1

 

Kolloquium Human Speech [KHS]

Lecturer:
Paula Andrea Pérez-Toro
Details:
Kolloquium, 2 cred.h, ECTS: 2,5
Dates:
Fri, 16:00 - 18:00, 09.150

 

Kolloquium Hybride Bildgebung [HB]

Lecturers:
Andreas Maier, Torsten Kuwert
Details:
Kolloquium, 2 cred.h
Dates:
Thu, 17:00 - 19:00, room tbd
Raum C-U1-566 (Bauteil C, Stockwerk U1), Internistisches Zentrum (INZ), Ulmenweg 18
Fields of study:
WPF INF-MA ab 1

 

Kolloquium Image Analysis [IMA]

Lecturer:
Katharina Breininger
Details:
Kolloquium, 2 cred.h
Dates:
Tue, 16:00 - 18:00, 09.150
Fields of study:
WPF INF-MA ab 1

 

Kolloquium Image Fusion [IMF]

Lecturer:
Katharina Breininger
Details:
Kolloquium, 2 cred.h
Dates:
Fri, 14:00 - 16:00, 09.150
Fields of study:
WPF INF-MA ab 1

 

Kolloquium Inverse Problems and Applications [IPA]

Lecturer:
Fabian Wagner
Details:
Kolloquium, 2 cred.h
Dates:
Fri, 10:00 - 12:00, 09.150

 

Kolloquium Learning Approaches for Medical Big Data Analysis [LAMBDA]

Lecturers:
Daniel Stromer, Dalia Rodriguez Salas
Details:
Kolloquium, 2 cred.h
Dates:
Mon, 16:00 - 17:30, 09.150
Fields of study:
WPF INF-MA ab 1
Keywords:
medical applications; big data

 

Kolloquium Magnetic Resonance Imaging [MRI]

Lecturers:
Andreas Maier, Armin Nagel, Frederik Laun, , Sebastian Bickelhaupt, Daniel Giese, Florian Knoll
Details:
Kolloquium, 2 cred.h, Das Kolloquium findet als Online-Veranstaltung statt. Zeit: Do 17:00 – 18:30 Uhr.
Dates:
Thu, 17:00 - 18:30, room tbd
Fields of study:
WPF INF-MA ab 1
Keywords:
magnetic resonance imaging, mri

 

Kolloquium Precision Learning [PL]

Lecturer:
Mingxuan Gu
Details:
Kolloquium, 2 cred.h
Dates:
Mon, 14:00 - 16:00, 09.150

 

Project Magnetic Resonance Imaging sequence programming

Lecturers:
Andreas Maier,
Details:
Seminar, graded certificate, ECTS: 5, für FAU Scientia Gaststudierende zugelassen, 4 SWS, zweiwöchiges Blockkurs mit Übungen/ 4 SWS block seminar with exercises
Dates:
Mon, Tue, Wed, Thu, Fri, 9:30 - 17:30, 00.153-113 CIP
Fields of study:
WPF MT-MA 1
WPF INF-MA 1
WPF Ph-MA 1

 

Mainframe Programmierung I

Lecturer:
Sebastian Wind
Details:
Vorlesung mit Übung, ECTS: 5, für FAU Scientia Gaststudierende zugelassen
Dates:
Online-Kurs im StudOn
Fields of study:
WF INF-MA ab 1
Prerequisites / Organisational information:
* Der Kurs wird als Online-Kurs bei der VHB im StudOn im betreuten Selbststudium angeboten. *

Anrechenbar für die Säulen:

  • softwareorientiert

  • anwendungsorientiert

Keywords:
Mainframe, Programmierung, Cobol, Fortran, z, zOS, CICS, REXX, Rational

 

Mainframe Programmierung II

Lecturer:
Sebastian Wind
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 5, Online-Kurs
Dates:
Online-Kurs der VHB
Fields of study:
WF INF-BA-V-PS ab 4
WF INF-MA 1
Prerequisites / Organisational information:
* Der Kurs wird als Online-Kurs bei der VHB im StudOn im betreuten Selbststudium angeboten. *

Anrechenbar für die Säulen:

  • softwareorientiert

  • anwendungsorientiert

Keywords:
Mainframe, Programmierung, Programming, Unternehmensdatenverarbeitung, Enterprise Computing

 

Medical Image Processing for Diagnostic Applications (VHB course)

Lecturers:
Andreas Maier, Luis Carlos Rivera Monroy, Celia Martín Vicario, Manuela Meier, Arpitha Ravi
Details:
Vorlesung, 4 cred.h, ECTS: 5
Dates:
to be determined
Fields of study:
WPF INF-MA ab 1
WPF INF-BA-V-ME ab 5
PF CE-MA-TA-IT ab 1
WPF IuK-MA-MMS-INF ab 1
WPF ICT-MA-MPS 1-4
WPF MT-MA-BDV ab 1
WPF MT-BA ab 5
WF CME-MA 1-4
WPF AI-MA ab 1
Prerequisites / Organisational information:
Requirements: mathematics for engineering

Organization: This is an online course of Virtuelle Hochschule Bayern (VHB). Go to https://www.vhb.org to register to this course. FAU students register for the written exam via meinCampus.

Keywords:
Mustererkennung, Medizinische Bildverarbeitung

 

Medical Image Processing for Interventional Applications (online course)

Lecturers:
Andreas Maier, Luis Carlos Rivera Monroy, Celia Martín Vicario, Manuela Meier, Arpitha Ravi
Details:
Vorlesung, 4 cred.h, ECTS: 5
Dates:
to be determined
Fields of study:
WPF MT-BA ab 5
WPF INF-BA-V-ME 4-6
WPF INF-MA 1-4
WPF IuK-MA-MMS-INF 1-3
WPF ICT-MA-MPS 1-4
WF CE-MA-INF ab 1
WPF MT-MA-BDV 1-2
WPF AI-MA ab 1
Prerequisites / Organisational information:
mathematics for engineering; This lecture focuses on interventional procedures. It is recommended but not necessary to attend Medical Image Processing for Diagnostic Applications (MIPDA) before.
Keywords:
Mustererkennung, Medizinische Informatik, Medizinische Bildverarbeitung

 

Pattern Recognition [PR(A)]

Lecturers:
Andreas Maier, Paul Stöwer
Details:
Vorlesung, 3 cred.h, certificate, ECTS: 3,75, geeignet als Schlüsselqualifikation, This class will be given purely on fau.tv. Short videos will be posted on a regular schedule (not necessary the in-person time mentioned here at UnivIs)
Dates:
Mon, 14:15 - 15:45, H4
Tue, 08:15 - 09:45, H4
Fields of study:
WPF ME-BA-MG6 3-5
WPF MT-MA-BDV 1-3
PF IuK-MA-MMS-INF ab 1
PF ICT-MA-MPS 1-4
WPF CE-MA-INF ab 1
WF CE-BA-TW ab 5
WPF INF-MA ab 1
WPF CME-MA ab 1
WF ASC-MA 1-4
WPF ME-MA-MG6 1-3
WPF DS-MA ab 1
Keywords:
Mustererkennung, maschinelle Klassifikation

 

Pattern Recognition Exercises [PR E(A)]

Lecturers:
Paul Stöwer, Siming Bayer
Details:
Übung, 1 cred.h, ECTS: 1,25, nur Fachstudium, Information regarding the online teaching will be provided in the studon course.
Fields of study:
WPF ME-BA-MG6 3-5
WPF CE-MA-INF ab 1
WF CE-BA-TW ab 5
WPF CME-MA ab 1
PF IuK-MA-MMS-INF ab 1
PF ICT-MA-MPS 1-4
WPF INF-MA ab 1
WPF MT-MA-BDV 1-3
WF ASC-MA 1-4
WPF ME-MA-MG6 1-3
WPF DS-MA ab 1
Keywords:
Mustererkennung, Klassifikation

 
 
Tue16:15 - 17:4502.134-113  N.N. 
 
 
Wed16:15 - 17:4502.151-113 a CIP, 02.151-113 b CIP  Stöwer, P. 
 

Pattern Recognition Symposium

Lecturer:
Andreas Maier
Details:
Kolloquium, 1 cred.h, dreitägige Blockveranstaltung im Anschluss an die Vorlesungszeit
Dates:
to be determined
Keywords:
pattern recognition, medical image processing, computer vision, speech processing, digital sports

 

Lab Class Pattern Recognition

Lecturer:
Andreas Maier
Details:
Praktikum, 4 cred.h, ECTS: 5
Dates:
to be determined
Fields of study:
WPF INF-BA-V-ME ab 5
WPF MT-BA-BV ab 5
WPF INF-BA-V-MI ab 5
WPF IuK-BA ab 5

 

Project Remote Sensing

Lecturer:
Nora Gourmelon
Details:
Praktikum, 2 cred.h, graded certificate, ECTS: 10, für FAU Scientia Gaststudierende zugelassen
Dates:
to be determined

 

Projekt Computer Vision [ProjCV(RZ)]

Lecturers:
Vincent Christlein, Martin Mayr
Details:
Praktikum, ECTS: 10, This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again
Dates:
Mon, 12:00 - 14:00, Übung 3 / 01.252-128, 00.156-113 CIP
Fields of study:
WPF INF-MA ab 1
WPF MT-MA ab 1
Prerequisites / Organisational information:
Basic knowledge of image processing is desirable. In the first session there will be a short recap on image representation and basic image filtering techniques. However, having visited lectures such as Introduction to Pattern Recognition (IntroPR) or Diagnostic Medical Image Processing (DMIP) might prove beneficial.
Please contact us if you have any questions. You can register via Studon (https://www.studon.fau.de/crs4040713.html) for the Computer Vision Project. During the semester lecture and exercise alternate on a weekly basis. Exercises are supervised and take place in one of the CIP pools. All exercises must be completed.

You can get either 5 or 10 ECTS credits for this project. The following options are available:
5 ECTS (counts as: Hochschulpraktikum)
This option requires:

  • lectures (strongly recommended as they introduce the background required for the exercises)

  • exercises (in groups of 2 people) need to be finished on time

  • individual presentation about a state-of-the-art research paper at the end of the semester (graded if needed)

10 ECTS (counts as Hochschulpraktikum (5 ECTS) + Forschungspraktikum (5 ECTS), or Master Project Computer Science (10 ECTS))

  • lectures (strongly recommended as they introduce the background required for the exercises)

  • exercises (in groups of 2 people) need to be finished on time

  • individual coding/research project under supervision of a LME PhD student at the end of regular schedule (graded if needed)

Important: You cannot use the lecture/exercise part as a 5 ECTS research project (Forschungspraktikum). Please contact one of the PhD students at the lab if you need a research project.

Keywords:
Master Project, Pattern Recognition, Computer Vision

 

Projekt Mustererkennung

Lecturer:
Andreas Maier
Details:
Sonstige Lehrveranstaltung, graded certificate, ECTS: 10, At the Pattern Recognition Lab we offer project topics that are connected to our current research in the fields of medical image processing, speech processing and understanding, computer vision and digital sports. Other than a course with fixed topic, project topics are defined individually. The 10 ECTS project is directed towards students of computer science. However, most projects can also be offered as 5 ECTS medical engineering Academic Lab or Research Lab. Please have a look at our website for an overview: https://lme.tf.fau.de/teaching/thesis/
Dates:
to be determined
Fields of study:
WPF INF-MA ab 1
WPF AI-MA ab 1
Keywords:
Master Projekt Project

 

Seminar Advanced Deep Learning [SemADL]

Lecturers:
Katharina Breininger, Vincent Christlein, Andreas Maier
Details:
Seminar, 2 cred.h, ECTS: 5, nur Fachstudium, The first session of the semester will an online meeting, subsequent meetings will be in person.
Dates:
Tue, 12:00 - 14:00, Seminarraum ZMPT
Fields of study:
WPF INF-MA ab 1
WPF MT-MA-BDV ab 1
WPF CE-MA-TA-MT ab 1
Prerequisites / Organisational information:
Registration via StudOn: https://www.studon.fau.de/crs4006742.html https://www.studon.uni-erlangen.de/univis_2022s.Lecture.21733718
Keywords:
algorithms; medical image processing

 

Seminar Automatic Analysis of Voice, Speech and Language Disorders in Speech Pathologies

Lecturers:
Seung Hee Yang, Andreas Maier
Details:
Seminar, 4 cred.h, ECTS: 5
Dates:
Der Termin wird in Absprache mit den Teilnehmern festgelegt. Sie werden per E-Mail über den weiteren Verlauf des Seminars (Vorbesprechung: ca. 2-3 Wochen nach Semesteranfang) informiert.
Fields of study:
WPF INF-BA-SEM 3-6
WPF IuK-BA 3-6
WPF MT-BA 5-6
WPF MT-MA ab 1
WF CE-BA-SEM 3-6
Prerequisites / Organisational information:
Die Themenvergabe und die Terminfindung finden zu Beginn des Semesters statt. Alle weiteren Termine werden in Absprache mit den angemeldeten Personen festgelegt.
Anmeldung bitte an:
Über die Vergabe der Seminarplätze entscheidet die Reihenfolge der Anmeldungen.
Es gibt keinen StudOn-Link für dieses Seminar.
Keywords:
Sprachverarbeitung, Sprachpathologien

 

Seminar – Road Scene Understanding for the Visually Impaired [SemRSUVI]

Lecturers:
Hakan Calim, Andreas Maier
Details:
Seminar, 2 cred.h, ECTS: 5
Dates:
Fri, 8:15 - 9:30, 09.150

 

Voice-enabled healthcare [VEH]

Lecturer:
Björn Heismann
Details:
Seminar, ECTS: 2,5, nur Fachstudium
Dates:
Tue, 14:15 - 15:45, Seminarraum ZMPT
Further information will be provided on StudOn
Fields of study:
WPF MT-MA ab 1
Prerequisites / Organisational information:
Master-Studenten MT Semester 1-3 (und andere interessierte Fachrichtungen)



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