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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

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

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

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

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

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

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

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

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

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

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.