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Departments >> Faculty of Engineering >> Department of Computer Science >>
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Chair of Computer Science 5 (Pattern Recognition)
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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:
- Mon, 16:15 - 17:45, H14
Tue, 16:15 - 17:45, H4
- 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
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Datenbank Praxis [DBPraxis] -
- Lecturer:
- Sebastian Wind
- Details:
- Vorlesung, 4 cred.h, ECTS: 5, 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
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Introduction to Machine Learning [IntroML] -
- Lecturer:
- Vincent Christlein
- Details:
- Vorlesung, 2 cred.h, certificate, ECTS: 3,75, Information regarding the online teaching will be added to the studon course
- Dates:
- Wed, 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 3
- Prerequisites / Organisational information:
- StudOn: https://www.studon.fau.de/crs4053489.html
- Keywords:
- Mustererkennung, Vorverarbeitung, Merkmalsextraktion, Klassifikation
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Introduction to Machine Learning Exercises [IntroML-Ex] -
- Lecturers:
- Mathias Seuret, Nora Gourmelon, Mareike Thies
- Details:
- Übung, 2 cred.h, certificate, ECTS: 1,25
- 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 3
- Keywords:
- Mustererkennung, Vorverarbeitung, Merkmalsextraktion, Klassifkation
| | | Mon | 14:00 - 16:00 | n.V. | |
Seuret, M. Gourmelon, N. | |
| | Tue | 10:00 - 12:00 | n.V. | |
Seuret, M. Gourmelon, N. | |
| | Wed | 14:00 - 16:00 | n.V. | |
Seuret, M. Gourmelon, N. | |
| | Thu | 10:00 - 12:00 | n.V. | |
Seuret, M. Gourmelon, N. | |
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Kolloquium Enterprise Computing [EC] -
- Lecturer:
- Peter Wilke
- Details:
- Kolloquium, 2 cred.h, ECTS: 2,5, Begleitseminar
- Dates:
- Thu, 14:00 - 16:00, room tbd
Ort: Immerwahrstrasse 2a, 1. Stock, links
- Fields of study:
- WF INF-MA ab 1
- Keywords:
- Enterprise Computing, Mainframe, Programmierung
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Kolloquium Magnetic Resonance Imaging [MRI] -
- Lecturers:
- Andreas Maier, Armin Nagel, Frederik Laun, Moritz Zaiß, 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
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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
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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
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Pattern Recognition [PR] -
- 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
Thu, 10:15 - 11:45, 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
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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/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
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