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Einrichtungen >> Technische Fakultät (TF) >> Department Informatik (INF) >>
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Lehrstuhl für Informatik 5 (Mustererkennung)
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Kolloquium Magnetic Resonance Imaging [MRI] -
- Dozentinnen/Dozenten:
- Andreas Maier, Armin Nagel, Frederik Laun, , Sebastian Bickelhaupt, Daniel Giese, Florian Knoll
- Angaben:
- Kolloquium, 2 SWS, Das Kolloquium findet als Online-Veranstaltung statt. Zeit: Do 17:00 – 18:30 Uhr.
- Termine:
- Do, 17:00 - 18:30, Raum n.V.
- Studienrichtungen / Studienfächer:
- WPF INF-MA ab 1
- Schlagwörter:
- magnetic resonance imaging, mri
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Mainframe Programmierung I -
- Dozent/in:
- Sebastian Wind
- Angaben:
- Vorlesung mit Übung, ECTS: 5, für FAU Scientia Gaststudierende zugelassen
- Termine:
- Online-Kurs im StudOn
- Studienrichtungen / Studienfächer:
- WF INF-MA ab 1
- Voraussetzungen / Organisatorisches:
- * Der Kurs wird als Online-Kurs bei der VHB im StudOn im betreuten Selbststudium angeboten. *
Anrechenbar für die Säulen:
softwareorientiert anwendungsorientiert
- Schlagwörter:
- Mainframe, Programmierung, Cobol, Fortran, z, zOS, CICS, REXX, Rational
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Pattern Recognition [PR(A)] -
- Dozentinnen/Dozenten:
- Andreas Maier, Paul Stöwer
- Angaben:
- Vorlesung, 3 SWS, Schein, 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)
- Termine:
- Mo, 14:15 - 15:45, H4
Di, 08:15 - 09:45, H4
- Studienrichtungen / Studienfächer:
- 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
- Schlagwörter:
- Mustererkennung, maschinelle Klassifikation
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Projekt Computer Vision [ProjCV(RZ)] -
- Dozentinnen/Dozenten:
- Vincent Christlein, Martin Mayr
- Angaben:
- 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
- Termine:
- Mo, 12:00 - 14:00, Übung 3 / 01.252-128, 00.156-113 CIP
- Studienrichtungen / Studienfächer:
- WPF INF-MA ab 1
WPF MT-MA ab 1
- Voraussetzungen / Organisatorisches:
- 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.
- Schlagwörter:
- Master Project, Pattern Recognition, Computer Vision
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