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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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Datenbank Praxis [DBPraxis] -
- Lecturer:
- Peter Wilke
- 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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Deep Learning Exercises [DL E] -
- Lecturers:
- Katharina Breininger, Sulaiman Vesal, Florian Thamm, Felix Denzinger, Hendrik Schröter
- 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 INF-MA ab 1
- Keywords:
- deep learning; machine learning
| | | | Mon | 12:00 - 14:00 | 0.01-142 CIP | |
Breininger, K.
Vesal, S.
Schröter, H. | |
| | | Tue | 18:00 - 20:00 | 0.01-142 CIP | |
Breininger, K.
Vesal, S.
Schröter, H. | |
| | | Wed | 16:00 - 18:00 | 0.01-142 CIP | |
Breininger, K.
Vesal, S.
Schröter, H. | |
| | | Thu | 14:00 - 16:00 | 0.01-142 CIP | |
Breininger, K.
Vesal, S.
Schröter, H. | |
| | | Fri | 8:00 - 10:00 | 0.01-142 CIP | |
Breininger, K.
Vesal, S.
Schröter, H. | |
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IT-Modernisierung [IT-Modern] -
- Lecturer:
- Peter Wilke
- Details:
- Vorlesung, 4 cred.h, ECTS: 5, nur Fachstudium
- Dates:
- Mon, 10:00 - 14:00, 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! *Bei Interessen bitte Anmeldung per StudOn. Momentan planen wir die Veranstaltung Mo 10:00-14:00 Uhr. Dies gibt uns die Möglichkeit ca. 1 Stunde Mittagspause zu machen, die konkrete Zeit und Dauer der Pause richtet sich nach dem Stoff.
In der Mittagspause besteht die Gelegenheit, mit den Dozenten zu plaudern...
Prüfungsleistung: mdl. Prüfung von ca. 30min Dauer Anrechenbar für anwendungsorientierte Säule.
- Keywords:
- IT-Modernisierung, Fortran, Cobol, ABAP, Mainframe
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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
- Details:
- Kolloquium, 2 cred.h, Das Kolloquium findet im Klinikum statt (Stand 1/2018: Radiologisches Institut, Ulmenweg 18, Trakt A, Raum U1.230-1).
- 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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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:
- Wed, 14:15 - 15:45, H16
Thu, 16:15 - 17:45, H16
- Fields of study:
- 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
- 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
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Projekt Computer Vision [ProjCV] -
- Lecturer:
- Vincent Christlein
- 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/crs2949212.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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Seminar Digital Pathology and Deep Learning [SemDP] -
- Lecturers:
- Andreas Maier, Marc Aubreville, Joachim Hornegger, Samir Jabari, Ingmar Blümcke
- 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
- 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
- Prerequisites / Organisational information:
- Registration via StudOn:
https://www.studon.fau.de/crs2884557.html
- Keywords:
- algorithms; medical image processing
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