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Courses

Seminar (SEM)

Kolloquium (KO)

Vorlesung (VORL)

Übung (UE)

  • Deep Learning Exercises

    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

    • Wed 16:00-18:00, Room 0.01-142 CIP
    • Thu 14:00-16:00, Room 0.01-142 CIP
    • Fri 8:00-10:00, Room 0.01-142 CIP
    • Tue 18:00-20:00, Room 0.01-142 CIP
    • Mon 12:00-14:00, Room 0.01-142 CIP

  • Introduction to Pattern Recognition Exercises

    • Thu 10:00-12:00, Room 00.153-113 CIP
    • Wed 10:00-12:00, Room 00.152-113

  • Pattern Recognition Exercises

    Information regarding the online teaching will be provided in the studon course.

    • Wed 16:15-17:45, Room 02.151-113 a CIP
    • Wed 16:15-17:45, Room 02.151-113 b CIP
    • Fri 12:15-13:45, Room Übung 3 / 01.252-128

Vorlesung mit Übung (V/UE)

Praktikum (PR)

  • Project Magnetic Resonance Imaging sequence programming

    • Mon 9:30-17:30, Room 00.153-113 CIP
    • Tue 9:30-17:30, Room 00.153-113 CIP
    • Wed 9:30-17:30, Room 00.153-113 CIP
    • Thu 9:30-17:30, Room 00.153-113 CIP
    • Fri 9:30-17:30, Room 00.153-113 CIP

  • Praktikum Mustererkennung

    • Time and place on appointment

  • Projekt Computer Vision

    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

    • Mon 12:00-14:00, Room Übung 3 / 01.252-128
    • Mon 12:00-14:00, Room 00.156-113 CIP

Sonstige Lehrveranstaltung (SL)

  • Projekt Mustererkennung

    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/

    • Time and place on appointment

Kolloquium (KO)

Vorlesung (VORL)

Übung (UE)

  • Computer Vision Exercise

    Check StudOn: https://www.studon.fau.de/studon/ilias.php?ref_id=2944507&cmd=frameset&cmdClass=ilrepositorygui&cmdNode=yl&baseClass=ilRepositoryGUI

    • Time and place on appointment

  • Deep Learning Exercises

    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

    • Wed 16:00-18:00, Room 0.01-142 CIP
    • Thu 14:00-16:00, Room 0.01-142 CIP
    • Tue 18:00-20:00, Room 0.01-142 CIP
    • Mon 12:00-14:00, Room 0.01-142 CIP
    • Fri 8:00-10:00, Room 0.01-142 CIP

  • Medizintechnik II Rechnerübung

    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.)

    • Thu 10:00-12:00, Room 02.151-113 a CIP
    • Thu 10:00-12:00, Room 02.151-113 b CIP
    • Wed 8:00-10:00, Room 01.155-113 CIP
    • Thu 16:00-18:00, Room 01.155-113 CIP
    • Thu 8:00-10:00, Room 01.155-113 CIP
    • Fri 14:00-16:00, Room 02.151-113 a CIP
    • Fri 14:00-16:00, Room 02.151-113 b CIP
    • Fri 10:00-12:00, Room 01.155-113 CIP

  • Medizintechnik II Tutorenbesprechung

    • Thu 8:15-9:45, Room 00.151-113

  • Medizintechnik II Tafelübung

    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.)

    • TÜbung (UE) 08:15-09:45, Room H8
    • 08:15-09:45, Room H8
    • 08:15-09:45, Room H8

  • Pattern Analysis Programming

    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

    • TÜbung (UE) 14:00-15:00, Room 02.151-113 a CIP
    • Tue 14:00-15:00, Room 02.151-113 b CIP
    • Tue 15:00-16:00, Room 02.151-113 a CIP
    • Tue 15:00-16:00, Room 02.151-113 b CIP
    • Fri 08:15-09:45, Room Übung 3 / 01.252-128

  • Speech and Language Understanding Exercises

    • Tue 12:15-13:45, Room 00.156-113 CIP

Seminar (SEM)

Vorlesung mit Übung (V/UE)

Praktikum (PR)

  • Project Magnetic Resonance Imaging sequence programming

    • Mon 9:30-17:30, Room 00.153-113 CIP
    • Tue 9:30-17:30, Room 00.153-113 CIP
    • Wed 9:30-17:30, Room 00.153-113 CIP
    • Thu 9:30-17:30, Room 00.153-113 CIP
    • Fri 9:30-17:30, Room 00.153-113 CIP

  • Praktikum Mustererkennung

    • Time and place on appointment

  • Projekt Computer Vision

    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

    • Mon 12:00-14:00, Room Übung 3 / 01.252-128
    • Mon 12:00-14:00, Room 00.156-113 CIP

  • Projekt Flat-Panel CT Reconstruction

    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. If you are interested, attend the first lecture on April 21st 2020. All further information will be provided in the StudOn course (link below).

    • Tue 10:00-12:00, Room 0.01-142 CIP

Sonstige Lehrveranstaltung (SL)

  • Projekt Mustererkennung

    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/

    • Time and place on appointment

Supplementary Material

For many of our courses, we provide supplementary material on StudOn. Furthermore, we provide links to the lecture recordings for Deep Learning (here) and Pattern Recognition (here).

Free Deep Learning Resources

We provide a collection of high-quality free resources on Deep Learning. Please have a look here.

Wahlpflichtmodule der Vertiefungsrichtung Mustererkennung

Modulbezeichnung Zugehörige Veranstaltungen SWS ECTS WS/SS Verwendbarkeit Prüfung
Sprachverstehen V: Sprachverstehen 2 5 WS B oder M Please look in univis
Ü: Übungen zu Sprachverstehen 2
Introduction to Pattern Recognition (Intro PR)
(Unterrichtssprache: Englisch)		 V: Introduction to Pattern Recognition (Intro PR) 3 7.5 WS B oder M Please look in univis
Ü: Introduction to Pattern Recognition Exercises 1
Computer Vision
(Unterrichtssprache: Englisch)		 V: Computer Vision 3 5 SS B oder M Please look in univis
Ü: Computer Vision Exercises 1
Diagnostic Medical Image Processing-V
(Unterrichtssprache: Englisch)		 V: DMIP (now VHB MIPDA) 3 5 WS + SS B oder M Please look in univis
Interventional Medical Image Processing-V
(Unterrichtssprache: Englisch)		 V: IMIP (now: VHB MIPIA) 3 5 WS + SS B oder M Please look in univis
Pattern Analysis-VU
(Unterrichtssprache: Englisch)		 V: Pattern Analysis 3 5 SS Master Please look in univis
Ü: Pattern Analysis Exercises 1
Pattern Recognition-VU
(Unterrichtssprache: Englisch)		 V: Pattern Recognition 3 5 WS Master Please look in univis
Ü: Pattern Recognition Exercises 1

LN*: Leistungsnachweis
*1) oder für Vertiefungsrichtung Theoretische Informatik

Bachelor
Bachelor oder Master
Master