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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]

Lecturers:
Patrick Krauß, Andreas Kist, Andreas Maier
Details:
Vorlesung, 4 cred.h, ECTS: 5, nur Fachstudium
Dates:
Tue, 12:15 - 13:45, H8
Thu, 8:15 - 9:45, H11
Fields of study:
WPF MT-BA ab 5
WF IuK-MA-MMS-INF ab 1
WF ICT-MA 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/crs4053784_join.html

 

Computer Vision [CV]

Lecturers:
Bernhard Egger, Andreas Maier, Tim Weyrich
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium
Dates:
Thu, 12:15 - 13:45, H4
Fields of study:
WPF ME-BA-MG6 4-6
WPF INF-MA ab 1
WF ICT-MA-MPS ab 1
WF CME-MA ab 1
WPF AI-MA ab 1
WPF ME-MA-MG6 1-3
Keywords:
computer vision; stereo vision; structure from motion; multi-view reconstruction; convolutional neural networks

 

Computer Vision Exercise [CV-E]

Lecturers:
Bernhard Egger, Shih-Yuan Huang, Sarma Jeet Sen, Maximilian Weiherer, Mathias Zinnen, Darius Rückert
Details:
Übung, 2 cred.h, ECTS: 2,5, nur Fachstudium, Exercises are voluntary and will not be graded/corrected. The exam will contain questions on the excercises.
Fields of study:
WPF ME-BA-MG6 4-6
WPF INF-MA ab 1
WF ICT-MA-MPS ab 1
WPF AI-MA ab 1
WPF ME-BA-MG6 1-3
Keywords:
computer vision; stereo vision; structure from motion; multi-view reconstruction; convolutional neural networks

 
 
Tue10:00 - 12:000.01-142 CIP  Egger, B. 
 
 
Wed8:00 - 10:0000.156-113 CIP  Egger, B. 
 

Datenbank Praxis [DBPraxis]

Lecturer:
Sebastian Wind
Details:
Vorlesung, 4 cred.h, ECTS: 5, für FAU Scientia Gaststudierende zugelassen, Online-Kurs
Dates:
Online-Kurs
Fields of study:
WF INF-BA ab 4
WF INF-MA ab 1
WF INF-BA-V-SWE ab 4
WF INF-BA-V-DB ab 4
Prerequisites / Organisational information:
* Dies ist ein Online-Kurs , betreutes Eigenstudium! *

Keine formalen Voraussetzungen, grundlegende Kenntnisse im Bereich Datenbanken (zum Beispiel durch Besuch der Grundlagenvorlesungen KonzMod und IDB im Bachelor) werden empfohlen.
Der Kurs wird als Online-Kurs im Selbststudium angeboten. Die Kommunikation erfolgt per E-Mail und dem Forum im StudOn-Kurs. Ggf. wird ein Besprechungstermin vereinbart.
Der Kurs setzt die sichere Beherrschung einer Programmiersprache (z.B. Java) voraus, ebenso Erfahrung mit IDEs (Eclipse o. ä.). Erste Erfahrung im Umgang mit Mainframes (z/OS, TSO, ISPF) wäre hervorragend; z.B. Mainframe Programmierung I oder II.

Keywords:
Mainframe, Programmierung, Programming, Administration, IBM, Datenbank, DB, Db2, Java, z, zOS

 

Deep Learning [DL]

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:
Fri, 10:15 - 11:45, H4
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
WPF AI-MA ab 1
PF ASC-MA 2
PF DS-MA ab 1
Prerequisites / Organisational information:
The following lectures are recommended:
  • Introduction to Pattern Recognition (IntroPR)

  • Pattern Recognition (PR)

https://www.studon.fau.de/crs4449450.html

Keywords:
deep learning; machine learning

 

Deep Learning Exercises [DL E]

Lecturers:
Leonhard Rist, Zijin Yang, Alexander Barnhill, Noah Maul
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
WPF AI-MA ab 1
PF ASC-MA 2
PF DS-MA ab 1
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) [DL4B]

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
WPF MT-BA ab 3
WPF DS-BA ab 3
WF CE-BA-TW 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.

 

Introduction to Machine Learning [IntroML]

Lecturer:
Vincent Christlein
Details:
Vorlesung, 2 cred.h, certificate, ECTS: 3,75, für FAU Scientia Gaststudierende zugelassen, Information regarding the online teaching will be added to the studon course
Dates:
Fri, 8:30 - 10:00, H7
Fields of study:
WPF ME-BA-MG6 3-5
WPF MT-BA 5
WPF INF-BA-V-ME ab 5
WPF INF-BA-V-MI ab 5
WF CE-BA-TW ab 5
WPF INF-MA 1
WPF IuK-BA ab 5
WPF ME-MA-MG6 1-3
WPF DS-BA ab 2
Prerequisites / Organisational information:
https://www.studon.fau.de/crs4368398.html
Keywords:
Mustererkennung, Vorverarbeitung, Merkmalsextraktion, Klassifikation

 

Introduction to Machine Learning Exercises [IntroML-Ex]

Lecturer:
Paul Stöwer
Details:
Übung, 2 cred.h, certificate, ECTS: 1,25, für FAU Scientia Gaststudierende zugelassen
Fields of study:
WPF ME-BA-MG6 3-5
WPF MT-BA 5
WPF INF-BA-V-ME ab 5
WPF INF-BA-V-MI ab 5
WF CE-BA-TW ab 5
WPF IuK-BA ab 5
WPF ME-MA-MG6 1-3
WPF DS-BA ab 2
Keywords:
Mustererkennung, Vorverarbeitung, Merkmalsextraktion, Klassifkation

 
 
Mon8:15 - 9:4500.152-113  Stöwer, P. 
 
 
Tue10:15 - 11:4501.255-128  Stöwer, P. 
 
 
Wed8:15 - 9:4501.255-128  Stöwer, P. 
 
 
Thu10:15 - 11:4501.255-128  Stöwer, P. 
 

Introduction to Machine Learning Tutorial [IntroML-Tut]

Lecturer:
Paul Stöwer
Details:
Übung, 2 cred.h, für FAU Scientia Gaststudierende zugelassen
Fields of study:
WPF ME-BA-MG6 3-5
WPF MT-BA 5
WF CE-BA-TW ab 5
WPF INF-BA-V-ME ab 5
WPF INF-BA-V-MI ab 5
WPF DS-BA ab 2
WPF IuK-BA ab 5
WPF ME-MA-MG6 1-3
Keywords:
Mustererkennung, Vorverarbeitung, Merkmalsextraktion, Klassifkation

 
 
Tue12:15 - 13:450.151-115  Stöwer, P. 
 

Kolloquium Animal Speech [KAS]

Lecturer:
Alexander Barnhill
Details:
Kolloquium, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
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 Data Processing for Utility Infrastructure [DPUI]

Lecturer:
Siming Bayer
Details:
Kolloquium, 2 cred.h, für FAU Scientia Gaststudierende zugelassen
Dates:
Fri, 13:00 - 14:00, 09.150
Fields of study:
WPF INF-MA ab 1

 

Kolloquium Human Speech [KHS]

Lecturer:
Paula Andrea Pérez-Toro
Details:
Kolloquium, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
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, Moritz Zaiß, Sebastian Bickelhaupt, Florian Knoll, Daniel Giese
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]

Lecturers:
Karthik Shetty, Yixing Huang
Details:
Kolloquium, 2 cred.h
Dates:
Mon, 14:00 - 16:00, 09.150

 

Project Magnetic Resonance Imaging sequence programming [MRIpulseq]

Lecturers:
Andreas Maier, Moritz Zaiß
Details:
Kurs, graded certificate, ECTS: 5, für FAU Scientia Gaststudierende zugelassen, 4 SWS, zweiwöchiger Blockkurs mit Übungen/ 4 SWS block course 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 [MainProg 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, REX, Rational

 

Mainframe Programmierung II [MainProg II]

Lecturer:
Sebastian Wind
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 5, für FAU Scientia Gaststudierende zugelassen, 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) [MIPDA]

Lecturers:
Andreas Maier, Luis Carlos Rivera Monroy, Celia Martín Vicario, 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) [MIPIA]

Lecturers:
Andreas Maier, Luis Carlos Rivera Monroy, Celia Martín Vicario, 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 Analysis [PA]

Lecturer:
Christian Riess
Details:
Vorlesung, 3 cred.h, graded certificate, ECTS: 3,75, This course will be held as inverted classroom with physical meetings, with a "best-effort" online option.
Dates:
Thu, 16:15 - 17:45, H16
Fri, 12:15 - 13:45, Zoom-Meeting
Fields of study:
WPF ME-BA-MG6 4-6
PF MT-MA-BDV 1-4
WPF IuK-MA-MMS-INF 1-4
WPF ICT-MA-MPS 1-4
WPF CME-MA 1-4
WF CME-MA 1-4
WPF INF-MA 1-4
WPF CE-MA-INF ab 1
WF ASC-MA 1-4
WPF ME-MA-MG6 1-3
WPF AI-MA ab 1
Prerequisites / Organisational information:
Please join the class "Pattern Analysis" in studOn. All lecture material will be linked and made available there.
It is recommended (but not mandatory) that participants attend the lecture Pattern Recognition first.
Keywords:
pattern recognition, pattern analysis

 

Pattern Analysis Programming [PA-Prog]

Lecturers:
Dalia Rodriguez Salas, Nora Gourmelon
Details:
Übung, 1 cred.h, ECTS: 1,25, für FAU Scientia Gaststudierende zugelassen, 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
Fields of study:
WPF ME-BA-MG6 4-6
WPF ICT-MA-MPS ab 1
WPF INF-MA ab 1
WPF MT-MA-BDV ab 1
WPF CME-MA ab 1
WPF CE-MA-INF ab 1
WPF IuK-MA-MMS-INF ab 1
WF ASC-MA ab 1
WPF ME-MA-MG6 1-3
WPF AI-MA ab 1
Prerequisites / Organisational information:
The exercise material is published in the studOn class for the lecture Pattern Analysis.
Keywords:
pattern analysis, programming

 
 
Tue14:00 - 15:0002.151-113 a CIP, 02.151-113 b CIP  N.N. 
 
 
Tue15:00 - 16:0002.151-113 a CIP, 02.151-113 b CIP  N.N. 
 
 
Thu10:15 - 11:45Übung 3 / 01.252-128  N.N. 
 

Pattern Recognition Symposium [PRS]

Lecturer:
Paula Andrea Pérez-Toro
Details:
Seminar, 2 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 [PME]

Lecturer:
Andreas Maier
Details:
Praktikum, 4 cred.h, ECTS: 5, für FAU Scientia Gaststudierende zugelassen
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 [ProjRS]

Lecturer:
Nora Gourmelon
Details:
Praktikum, 2 cred.h, graded certificate, ECTS: 10, für FAU Scientia Gaststudierende zugelassen
Dates:
to be determined
Fields of study:
WF INF-MA ab 1

 

Projekt Computer Vision [ProjCV]

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/crs4397541.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 Flat-Panel CT Reconstruction [ProjFCR]

Lecturers:
Yixing Huang, Fabian Wagner, Paula Andrea Pérez-Toro
Details:
Praktikum, ECTS: 5, This course will be held online. No registration is required to attend this course. All further information will be provided in the StudOn course (link below).
Dates:
Thu, 10:00 - 12:00, 0.01-142 CIP
Fields of study:
WPF INF-MA ab 1
WPF MT-MA ab 3
Keywords:
Master Project, Pattern Recognition, CT Reconstruction

 

Projekt Mustererkennung [ProjME]

Lecturer:
Andreas Maier
Details:
Praktikum, graded certificate, ECTS: 10, für FAU Scientia Gaststudierende zugelassen, 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
Dates:
Tue, 12:00 - 14:00, Seminarraum ZMPT
The first session (April 26) of the semester will an online meeting, subsequent meetings will be in person.
Fields of study:
WPF INF-MA ab 1
WPF MT-MA-BDV ab 1
WPF CE-MA-TA-MT ab 1
Keywords:
algorithms; image processing

 

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

Lecturers:
Seung Hee Yang, Andreas Maier
Details:
Seminar, 4 cred.h, ECTS: 5, für FAU Scientia Gaststudierende zugelassen
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, für FAU Scientia Gaststudierende zugelassen
Dates:
Fri, 8:15 - 9:30, 09.150

 

Speech Understanding [SLU]

Lecturers:
Seung Hee Yang, Alexander Barnhill, Andreas Maier
Details:
Vorlesung, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium
Dates:
Mon, 14:00 - 16:00, Hörsaal ZMPT
Fields of study:
WPF INF-BA-V-ME 5-6
WPF INF-MA ab 1
WPF AI-MA ab 1
Prerequisites / Organisational information:
https://www.studon.fau.de/crs4464784.html
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt über: StudOn
Keywords:
Mustererkennung, Merkmale, HMM, Sprachmodelle, Prosodie, Suchalgorithmen

 

Speech and Language Understanding Exercises [SLU-UE]

Lecturers:
Seung Hee Yang, Alexander Barnhill
Details:
Übung, für FAU Scientia Gaststudierende zugelassen
Dates:
Tue, 12:15 - 13:45, 00.156-113 CIP
Fields of study:
WPF INF-BA-V-ME 5-6
WPF INF-MA ab 1
WPF AI-MA ab 1

 

Voice-enabled healthcare [VEH]

Lecturer:
Björn Heismann
Details:
Seminar, ECTS: 2,5, nur Fachstudium
Dates:
Mon, 10:15 - 11:45, Übung 3 / 01.252-128
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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