Cognitive Neuroscience for AI Developers [CNAID]

Lecturers:

Patrick Krauß, Andreas Kist, Andreas Maier

Details:

Vorlesung, 4 cred.h, ECTS: 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 provided in the studon course.

Dates:

Tue, 14:15 - 15:45, 09.150
Thu, 10:15 - 11:45, 09.150

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
PF CE-MA-TA-IT ab 1
WPF CME-MA 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

Computer Vision [CV]

Lecturers:

Vincent Christlein, Ronak Kosti

Details:

Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium

Dates:

Mon, 8:15 - 9:45, H4

Fields of study:

WPF INF-MA ab 1
WF ICT-MA-MPS ab 1
WF CME-MA ab 1
WPF AI-MA ab 1

Keywords:

computer vision; stereo vision; structure from motion; multi-view reconstruction; convolutional neural networks

Computer Vision Exercise [CV-E]

Lecturers:

Prathmesh Madhu, Mathias Seuret

Details:

Übung, 2 cred.h, ECTS: 2,5, nur Fachstudium, Check StudOn: https://www.studon.fau.de/studon/ilias.php?ref_id=2944507&cmd=frameset&cmdClass=ilrepositorygui&cmdNode=yl&baseClass=ilRepositoryGUI

Dates:

to be determined

Fields of study:

WPF INF-MA ab 1
WF ICT-MA-MPS ab 1
WPF AI-MA ab 1

Keywords:

computer vision; stereo vision; structure from motion; multi-view reconstruction; convolutional neural networks

Datenbank Praxis [DBPraxis]

Lecturer:

Sebastian Wind

Details:

Vorlesung, 4 cred.h, ECTS: 5, Online-Kurs im StudOn

Dates:

Online-Kurs im StudOn

Fields of study:

WPF INF-BA-V-SWE ab 4
WPF INF-BA-V-DB ab 4
WPF INF-MA ab 1

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, Information regarding the online teaching will be added to the studon course

Dates:

Tue, 16:15 - 17:45, 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

Prerequisites / Organisational information:

The following lectures are recommended:

• Introduction to Pattern Recognition (IntroPR)

• Pattern Recognition (PR)

https://www.studon.fau.de/crs3729302.html

Keywords:

deep learning; machine learning

Deep Learning Exercises [DL E]

Lecturers:

Florian Thamm, Zijin Yang, Noah Maul, Karthik Shetty

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

Keywords:

deep learning; machine learning

IT-Modernisierung [IT-Modern]

Lecturer:

Sebastian Wind

Details:

Vorlesung, 4 cred.h, ECTS: 5, nur Fachstudium

Dates:

Mon, 8:15 - 11:45, 00.151-113

Fields of study:

WPF INF-MA ab 1
WPF INF-BA ab 4
WPF IIS-MA ab 1
WF ME-MA ab 1

Prerequisites / Organisational information:

* Lehrveranstaltung wird per Videokonferenz durchgeführt!*
* Auch im Fall, dass Präsenzveranstaltungen wieder erlaubt werden, wird NICHT in den Präsenzmodus gewechselt! *
Wir planen die Veranstaltung Mo von 8:15-11:45 Uhr. Exkursionen finden dieses Semester wegen der Pandemie nicht statt.
Bei Interessen bitte Anmeldung per StudOn.
Anrechenbar für anwendungsorientierte Säule.

Keywords:

IT-Modernisierung, Fortran, Cobol, ABAP, Mainframe

Kolloquium Animal Speech [KAS]

Lecturer:

Christian Bergler

Details:

Kolloquium, 2 cred.h, ECTS: 2,5

Dates:

Fri, 10:30 - 12:30, 09.150

Kolloquium Computer Vision [CVK]

Lecturer:

Vincent Christlein

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 Enterprise Computing [EC]

Lecturer:

Sebastian Wind

Details:

Kolloquium, 2 cred.h, ECTS: 2,5, Begleitseminar

Dates:

Thu, 14:00 - 16:00, Zoom-Meeting
Zoom-Meeting

Fields of study:

WF INF-MA ab 1

Keywords:

Enterprise Computing, Mainframe, Programmierung

Kolloquium Human Speech [KHS]

Lecturer:

Christian Bergler

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, Moritz Zaiß, Sebastian Bickelhaupt, David Grodzki

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:

Yixing Huang

Details:

Kolloquium, 2 cred.h

Dates:

Mon, 14:00 - 16:00, 09.150

Kolloquium Sprachverarbeitung [KSV]

Lecturer:

Christian Bergler

Details:

Kolloquium, 2 cred.h

Dates:

to be determined

Fields of study:

WPF INF-MA ab 1

Project Magnetic Resonance Imaging sequence programming [MRIpulseq]

Lecturers:

Andreas Maier, Moritz Zaiß

Details:

Seminar, graded certificate, ECTS: 5, 4 SWS, zweiwöchiges Blockseminar 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 [MainProg I]

Lecturer:

Sebastian Wind

Details:

Vorlesung mit Übung, ECTS: 5

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, 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

Mainframe@Home [MFH]

Lecturer:

Sebastian Wind

Details:

Vorlesung mit Übung, 4 cred.h, ECTS: 5, Online-Kurs im StudOn

Dates:

Online-Kurs im StudOn

Fields of study:

WPF INF-BA ab 4
WPF INF-MA ab 1

Prerequisites / Organisational information:

Der Kurs wird als Online-Kurs im StudOn im betreuten Selbststudium angeboten.

Zur Kommunikation mit den Kurs-Team steht ein Forum zur Verfügung. Außerdem kann Kontakt per E-Mail aufgenommen werden.

Der Kurs setzt grundlegende Kenntnisse der Informatik voraus. Außerdem wird ein Verständnis für die Implementierung von Algorithmen benötigt.

Anrechenbar für die Säulen:

• softwareorientiert

• anwendungsorientiert
  

Keywords:

Mainframe, Programmierung, zOS Betriebssystem, Rechner, Computer

Medical Image Processing for Diagnostic Applications (VHB course) [MIPDA]

Lecturers:

Andreas Maier, Tristan Gottschalk, Celia Martín Vicario, Julian Hoßbach

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, Tristan Gottschalk, Celia Martín Vicario, Julian Hoßbach

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

Medizintechnik II [MT2]

Lecturer:

Andreas Maier

Details:

Vorlesung, 4 cred.h, ECTS: 3,75, für Anfänger geeignet, 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. The exercises will start in the second week (19.-23.4.). The 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/crs2961834.html

Dates:

Wed, 12:15 - 13:45, H4
Thu, 8:15 - 9:45, H4

Fields of study:

PF MT-BA 2

Medizintechnik II Rechnerübung [MT2-RUE]

Lecturers:

Paul Stöwer, Nora Gourmelon

Details:

Übung, 2 cred.h, für Anfänger geeignet, 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. The exercises will start in the second week (26.-30.4.)

Fields of study:

PF MT-BA 2

Medizintechnik II Tafelübung [MT2-TUE]

Lecturers:

Paul Stöwer, Nora Gourmelon

Details:

Übung, 2 cred.h, ECTS: 1,25, für Anfänger geeignet, 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. The exercises will start in the second week (26.-30.4.)

Fields of study:

PF MT-BA 2

Medizintechnik II Tutorenbesprechung [MT2-TUT]

Lecturers:

N.N., Nora Gourmelon

Details:

Übung

Dates:

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

Pattern Analysis [PA]

Lecturer:

Christian Riess

Details:

Vorlesung, 3 cred.h, graded certificate, ECTS: 3,75, 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:

Tue, Fri, 12:15 - 13:45, H16

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:

Mathias Seuret, Zhaoya Pan

Details:

Übung, 1 cred.h, ECTS: 1,25, 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

Pattern Recognition Symposium [PRS]

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 [PME]

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

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/crs3668979.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, Jennifer Maier

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. No registration is required to attend this course. All further information will be provided in the StudOn course (link below).

Dates:

Tue, 10:00 - 12:00, 0.01-142 CIP
starting 13.4.2021

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:

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 AI for Healthcare: Challenges in Translating Promises into Patient Outcomes [AIOutcomes]

Lecturers:

Katharina Breininger, Mathias Unberath, Nishant Ravikumar

Details:

Seminar, 2 cred.h, ECTS: 5, This course will be conducted online. Registration will be enabled via StudOn starting in May. If you are interested in attending the seminar, please send an email to katharina.breininger@fau.de.

Fields of study:

WPF INF-MA ab 1
WPF AI-MA ab 1
WPF MT-MA-BDV ab 1

Prerequisites / Organisational information:

FAU students register for the course in StudOn. Registration will be enabled via StudOn starting in May. If you are interested in attending the seminar, please send an email to katharina.breininger@fau.de.
The seminar is offered as a compact course during summer intersession in September (exact dates are tbd).
This course is offered under the prerequisite that the corresponding funding for Prof. Dr.-Ing. Mathias Unberath and Dr. Nishant Ravikumar is granted by FAU.

Seminar Artificial Intelligence and Neuroscience [SemAINeuro]

Lecturers:

Andreas Maier, Patrick Krauß, Joachim Hornegger

Details:

Seminar, 2 cred.h, ECTS: 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 provided in the studon course.

Dates:

Mon, 8:15 - 9:45, KH 1.021

Fields of study:

WPF INF-MA ab 1
WPF MT-MA-BDV ab 1
WPF CE-MA-TA-MT ab 1
WPF AI-MA ab 1

Prerequisites / Organisational information:

Registrierung via StudOn: https://www.studon.fau.de/crs3687384.html

Keywords:

algorithms; medical image processing

Seminar Digital Pathology and Deep Learning [SemDP]

Lecturers:

Katharina Breininger, Christian Marzahl, Andreas Maier, Samir Jabari, Ingmar Blümcke

Details:

Seminar, 2 cred.h, ECTS: 5, This course will be held online until further notice. Please register via in StudOn starting from March 15, 2021. Note that equal chances for all applicants apply until March 27, midnight.

Dates:

Tue, 16:30 - 18:00, 02.133-113

Fields of study:

WPF MT-MA 1
WPF MT-MA-BDV 1
WPF INF-MA 1

Seminar Intraoperative Imaging and Machine Learning [IIML]

Lecturers:

Katharina Breininger, Holger Kunze, Holger Keil

Details:

Seminar, 2 cred.h, ECTS: 5, This course will be held online until further notice. Please register via in StudOn starting from March 15, 2021. Note that equal chances for all applicants apply until March 27, midnight.

Dates:

Wed, 8:30 - 10:00, 09.150

Fields of study:

WPF MT-MA-BDV ab 1
WPF INF-MA ab 1
WPF ICT-MA ab 1
WPF CE-MA-INF ab 1

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

Speech Understanding [SLU]

Lecturer:

Andreas Maier

Details:

Vorlesung, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium

Dates:

Wed, 16:15 - 17:45, 01.151-128

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/crs3717775.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]

Lecturer:

Andreas Maier

Details:

Übung

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:

Vorlesung, ECTS: 2,5, nur Fachstudium

Dates:

Thu, 8:15 - 9:45, room tbd
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)