Curriculum / Courses

Courses

Seminar (SEM)

  • Seminar Automatic Analysis of Voice, Speech and Language Disorders in Speech Pathologies

    Die Themenvergabe und die Terminfindung finden zu Beginn des Semesters statt.
    Alle weiteren Termine werden in Absprache mit den angemeldeten Personen festgelegt.

    Anmeldung bitte an:

    Über die Vergabe der Seminarplätze entscheidet die Reihenfolge der
    Anmeldungen.

    Es gibt keinen StudOn-Link für dieses Seminar.

    • 4 SWS; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Seminar Advanced Deep Learning

    • 2 SWS; Expected participants: 10; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Di 12:00-14:00, Room Seminarraum ZMPT (exclude vac) ICS

  • Seminar – Road Scene Understanding for the Visually Impaired

    • 2 SWS; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Fr 8:15-9:30, Room 09.150 (exclude vac) ICS

  • Voice-enabled healthcare

    Master-Studenten MT Semester 1-3 (und andere interessierte Fachrichtungen)

    • Expected participants: 15; ECTS-Studium (ECTS-Credits: 2,5)
    • Termin:
      • Mo 10:15-11:45, Room Übung 3 / 01.252-128 (exclude vac) ICS

Kolloquium (KO)

Vorlesung (VORL)

  • Cognitive Neuroscience for AI Developers

    FAU students register for the written exam via meinCampus.

    https://www.studon.fau.de/crs4053784_join.html

    • 4 SWS; Expected participants: 200; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Di 12:15-13:45, Room H8 (exclude vac) ICS
      • Do 8:15-9:45, Room H11 (exclude vac) ICS

  • Computer Vision

    • 2 SWS; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Do 12:15-13:45, Room H4 (exclude vac) ICS

  • Datenbank Praxis

    Online-Kurs

    /\/* 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.

    • 4 SWS; Expected participants: 6; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Time and place on appointment

  • Deep Learning

    Information regarding the online teaching will be added to the studon course

    The following lectures are recommended:

    • Introduction to Pattern Recognition (IntroPR)
    • Pattern Recognition (PR)



    https://www.studon.fau.de/crs4449450.html

    • 2 SWS; Expected participants: 450; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Fr 10:15-11:45, Room H4 (exclude vac) ICS

  • Deep Learning for Beginners (VHB-Kurs)

    Requirements: mathematics for engineering, basic knowledge of python

    Organization: This is an online course of Virtuelle Hochschule Bayern (VHB). Go to https://www.vhb.org to register to this course. FAU students register for the written exam via meinCampus.

    • 2 SWS; Expected participants: 300; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Introduction to Machine Learning

    Information regarding the online teaching will be added to the studon course

    https://www.studon.fau.de/crs4368398.html

    • 2 SWS; Expected participants: 350; Schein; ECTS-Studium (ECTS-Credits: 3,75), Unterrichtssprache Englisch
    • Termin:
      • Fr 8:30-10:00, Room H7 (exclude vac) ICS

  • Pattern Analysis

    This course will be held as inverted classroom with physical meetings, with a "best-effort" online option.

    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.

    • 3 SWS; Expected participants: 350; ECTS-Studium (ECTS-Credits: 3,75), Unterrichtssprache Englisch
    • Termin:
      • Do 16:15-17:45, Room H16 (exclude vac) ICS
      • Fr 12:15-13:45, Room Zoom-Meeting (exclude vac) ICS

  • Medical Image Processing for Interventional Applications (online course)

    mathematics for engineering; This lecture focuses on interventional procedures. It is recommended but not necessary to attend Medical Image Processing for Diagnostic Applications (MIPDA) before.

    • 4 SWS; Expected participants: 20; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Medical Image Processing for Diagnostic Applications (VHB course)

    Requirements: mathematics for engineering


    Organization:
    This is an online course of Virtuelle Hochschule Bayern (VHB).
    Go to https://www.vhb.org to register to this course.
    FAU students register for the written exam via meinCampus.

    • 4 SWS; Expected participants: 25; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Speech Understanding

    https://www.studon.fau.de/crs4464784.html

    Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.

    Die Anmeldung erfolgt über: StudOn

    • 2 SWS; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Mo 14:00-16:00, Room Hörsaal ZMPT (exclude vac) ICS

Übung (UE)

  • Computer Vision Exercise

    Exercises are voluntary and will not be graded/corrected. The exam will contain questions on the excercises.

    • 2 SWS; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Mi 8:00-10:00, Room 00.156-113 CIP (Course Computer Vision Exercise) ICS
      • Di 10:00-12:00, Room 0.01-142 CIP (Course Computer Vision Exercise) ICS

  • 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

    • 2 SWS; Expected participants: 450; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Fr 8:00-10:00, Room 0.01-142 CIP (exclude vac) ICS
      • Do 14:00-16:00, Room 0.01-142 CIP (exclude vac) ICS
      • Di 18:00-20:00, Room 0.01-142 CIP (exclude vac) ICS
      • Mo 12:00-14:00, Room 0.01-142 CIP (exclude vac) ICS
      • Mi 16:00-18:00, Room 0.01-142 CIP (exclude vac) ICS

  • Introduction to Machine Learning Tutorial

    • 2 SWS; Expected participants: 250, Unterrichtssprache Englisch
    • Termin:
      • Di 12:15-13:45, Room 0.151-115 (exclude vac) ICS

  • Introduction to Machine Learning Exercises

    • 2 SWS; Expected participants: 350; Für Gasthörer zugelassen; Schein; ECTS-Studium (ECTS-Credits: 1,25), Unterrichtssprache Englisch
    • Termin:
      • Di 10:15-11:45, Room 01.255-128 ICS
      • Mo 8:15-9:45, Room 00.152-113 ICS
      • Do 10:15-11:45, Room 01.255-128 (exclude vac) ICS
      • Mi 8:15-9:45, Room 01.255-128 (exclude vac) ICS

  • 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

    The exercise material is published in the studOn class for the lecture Pattern Analysis.

    • 1 SWS; Expected participants: 400; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 1,25), Unterrichtssprache Englisch
    • Termin:
      • Di 14:00-15:00, Room 02.151-113 a CIP (exclude vac) ICS
      • Di 14:00-15:00, Room 02.151-113 b CIP (exclude vac) ICS
      • Di 15:00-16:00, Room 02.151-113 a CIP (exclude vac) ICS
      • Di 15:00-16:00, Room 02.151-113 b CIP (exclude vac) ICS
      • Do 10:15-11:45, Room Übung 3 / 01.252-128 (exclude vac) ICS

  • Speech and Language Understanding Exercises

    • Für Gasthörer zugelassen; ECTS-Studium, Unterrichtssprache Englisch
    • Termin:
      • Di 12:15-13:45, Room 00.156-113 CIP (exclude vac) ICS

Vorlesung mit Übung (V/UE)

  • Mainframe Programmierung I

    /\/* Der Kurs wird als Online-Kurs bei der VHB im StudOn im betreuten Selbststudium angeboten. /\*/


    Anrechenbar für die Säulen:

    • softwareorientiert
    • anwendungsorientiert

    • Expected participants: 100; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Time and place on appointment

  • Mainframe Programmierung II

    Online-Kurs

    /\/* Der Kurs wird als Online-Kurs bei der VHB im StudOn im betreuten Selbststudium angeboten. /\*/


    Anrechenbar für die Säulen:

    • softwareorientiert
    • anwendungsorientiert

    • 4 SWS; Expected participants: 12; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Time and place on appointment

Kurs (KU)

  • Project Magnetic Resonance Imaging sequence programming

    4 SWS, zweiwöchiger Blockkurs mit Übungen/ 4 SWS block course with exercises

    • Expected participants: 20; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Mo 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Di 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Mi 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Do 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Fr 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS

Praktikum (PR)

  • Lab Class Pattern Recognition

    • 4 SWS; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • 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

    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/crs4397541.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.

    • Expected participants: 14; ECTS-Studium (ECTS-Credits: 10)
    • Termin:
      • Mo 12:00-14:00, Room Übung 3 / 01.252-128 (exclude vac) ICS
      • Mo 12:00-14:00, Room 00.156-113 CIP (exclude vac) ICS

  • Projekt Flat-Panel CT Reconstruction

    This course will be held online. No registration is required to attend this course. All further information will be provided in the StudOn course (link below).

    • Expected participants: 12; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Do 10:00-12:00, Room 0.01-142 CIP (exclude vac) ICS

  • 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/

    • Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 10)
    • Termin:
      • Time and place on appointment

  • Project Remote Sensing

    • 2 SWS; ECTS-Studium (ECTS-Credits: 10)
    • Termin:
      • Time and place on appointment

Seminar (SEM)

  • Seminar Automatic Analysis of Voice, Speech and Language Disorders in Speech Pathologies

    Die Themenvergabe und die Terminfindung finden zu Beginn des Semesters statt.
    Alle weiteren Termine werden in Absprache mit den angemeldeten Personen festgelegt.

    Anmeldung bitte an:

    Über die Vergabe der Seminarplätze entscheidet die Reihenfolge der
    Anmeldungen.

    Es gibt keinen StudOn-Link für dieses Seminar.

    • 4 SWS; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Seminar Advanced Deep Learning

    • 2 SWS; Expected participants: 10; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Di 12:00-14:00, Room Seminarraum ZMPT (exclude vac) ICS

  • Seminar – Road Scene Understanding for the Visually Impaired

    • 2 SWS; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Fr 8:15-9:30, Room 09.150 (exclude vac) ICS

  • Voice-enabled healthcare

    Master-Studenten MT Semester 1-3 (und andere interessierte Fachrichtungen)

    • Expected participants: 15; ECTS-Studium (ECTS-Credits: 2,5)
    • Termin:
      • Mo 10:15-11:45, Room Übung 3 / 01.252-128 (exclude vac) ICS

Kolloquium (KO)

Vorlesung (VORL)

  • Cognitive Neuroscience for AI Developers

    FAU students register for the written exam via meinCampus.

    https://www.studon.fau.de/crs4053784_join.html

    • 4 SWS; Expected participants: 200; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Di 12:15-13:45, Room H8 (exclude vac) ICS
      • Do 8:15-9:45, Room H11 (exclude vac) ICS

  • Computer Vision

    • 2 SWS; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Do 12:15-13:45, Room H4 (exclude vac) ICS

  • Datenbank Praxis

    Online-Kurs

    /\/* 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.

    • 4 SWS; Expected participants: 6; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Time and place on appointment

  • Deep Learning

    Information regarding the online teaching will be added to the studon course

    The following lectures are recommended:

    • Introduction to Pattern Recognition (IntroPR)
    • Pattern Recognition (PR)



    https://www.studon.fau.de/crs4449450.html

    • 2 SWS; Expected participants: 450; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Fr 10:15-11:45, Room H4 (exclude vac) ICS

  • Deep Learning for Beginners (VHB-Kurs)

    Requirements: mathematics for engineering, basic knowledge of python

    Organization: This is an online course of Virtuelle Hochschule Bayern (VHB). Go to https://www.vhb.org to register to this course. FAU students register for the written exam via meinCampus.

    • 2 SWS; Expected participants: 300; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Introduction to Machine Learning

    Information regarding the online teaching will be added to the studon course

    https://www.studon.fau.de/crs4368398.html

    • 2 SWS; Expected participants: 350; Schein; ECTS-Studium (ECTS-Credits: 3,75), Unterrichtssprache Englisch
    • Termin:
      • Fr 8:30-10:00, Room H7 (exclude vac) ICS

  • Pattern Analysis

    This course will be held as inverted classroom with physical meetings, with a "best-effort" online option.

    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.

    • 3 SWS; Expected participants: 350; ECTS-Studium (ECTS-Credits: 3,75), Unterrichtssprache Englisch
    • Termin:
      • Do 16:15-17:45, Room H16 (exclude vac) ICS
      • Fr 12:15-13:45, Room Zoom-Meeting (exclude vac) ICS

  • Medical Image Processing for Interventional Applications (online course)

    mathematics for engineering; This lecture focuses on interventional procedures. It is recommended but not necessary to attend Medical Image Processing for Diagnostic Applications (MIPDA) before.

    • 4 SWS; Expected participants: 20; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Medical Image Processing for Diagnostic Applications (VHB course)

    Requirements: mathematics for engineering


    Organization:
    This is an online course of Virtuelle Hochschule Bayern (VHB).
    Go to https://www.vhb.org to register to this course.
    FAU students register for the written exam via meinCampus.

    • 4 SWS; Expected participants: 25; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Time and place on appointment

  • Speech Understanding

    https://www.studon.fau.de/crs4464784.html

    Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.

    Die Anmeldung erfolgt über: StudOn

    • 2 SWS; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Mo 14:00-16:00, Room Hörsaal ZMPT (exclude vac) ICS

Übung (UE)

  • Computer Vision Exercise

    Exercises are voluntary and will not be graded/corrected. The exam will contain questions on the excercises.

    • 2 SWS; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Mi 8:00-10:00, Room 00.156-113 CIP (Course Computer Vision Exercise) ICS
      • Di 10:00-12:00, Room 0.01-142 CIP (Course Computer Vision Exercise) ICS

  • 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

    • 2 SWS; Expected participants: 450; ECTS-Studium (ECTS-Credits: 2,5), Unterrichtssprache Englisch
    • Termin:
      • Do 14:00-16:00, Room 0.01-142 CIP (exclude vac) ICS
      • Fr 8:00-10:00, Room 0.01-142 CIP (exclude vac) ICS
      • Mi 16:00-18:00, Room 0.01-142 CIP (exclude vac) ICS
      • Mo 12:00-14:00, Room 0.01-142 CIP (exclude vac) ICS
      • Di 18:00-20:00, Room 0.01-142 CIP (exclude vac) ICS

  • Introduction to Machine Learning Tutorial

    • 2 SWS; Expected participants: 250, Unterrichtssprache Englisch
    • Termin:
      • Di 12:15-13:45, Room 0.151-115 (exclude vac) ICS

  • Introduction to Machine Learning Exercises

    • 2 SWS; Expected participants: 350; Für Gasthörer zugelassen; Schein; ECTS-Studium (ECTS-Credits: 1,25), Unterrichtssprache Englisch
    • Termin:
      • Di 10:15-11:45, Room 01.255-128 ICS
      • Do 10:15-11:45, Room 01.255-128 (exclude vac) ICS
      • Mo 8:15-9:45, Room 00.152-113 ICS
      • Mi 8:15-9:45, Room 01.255-128 (exclude vac) ICS

  • 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

    The exercise material is published in the studOn class for the lecture Pattern Analysis.

    • 1 SWS; Expected participants: 400; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 1,25), Unterrichtssprache Englisch
    • Termin:
      • Do 10:15-11:45, Room Übung 3 / 01.252-128 (exclude vac) ICS
      • Di 15:00-16:00, Room 02.151-113 a CIP (exclude vac) ICS
      • Di 15:00-16:00, Room 02.151-113 b CIP (exclude vac) ICS
      • Di 14:00-15:00, Room 02.151-113 a CIP (exclude vac) ICS
      • Di 14:00-15:00, Room 02.151-113 b CIP (exclude vac) ICS

  • Speech and Language Understanding Exercises

    • Für Gasthörer zugelassen; ECTS-Studium, Unterrichtssprache Englisch
    • Termin:
      • Di 12:15-13:45, Room 00.156-113 CIP (exclude vac) ICS

Vorlesung mit Übung (V/UE)

  • Mainframe Programmierung I

    /\/* Der Kurs wird als Online-Kurs bei der VHB im StudOn im betreuten Selbststudium angeboten. /\*/


    Anrechenbar für die Säulen:

    • softwareorientiert
    • anwendungsorientiert

    • Expected participants: 100; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Time and place on appointment

  • Mainframe Programmierung II

    Online-Kurs

    /\/* Der Kurs wird als Online-Kurs bei der VHB im StudOn im betreuten Selbststudium angeboten. /\*/


    Anrechenbar für die Säulen:

    • softwareorientiert
    • anwendungsorientiert

    • 4 SWS; Expected participants: 12; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Time and place on appointment

Kurs (KU)

  • Project Magnetic Resonance Imaging sequence programming

    4 SWS, zweiwöchiger Blockkurs mit Übungen/ 4 SWS block course with exercises

    • Expected participants: 20; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5), Unterrichtssprache Englisch
    • Termin:
      • Mo 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Di 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Mi 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Do 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Fr 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS

Praktikum (PR)

  • Lab Class Pattern Recognition

    • 4 SWS; Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • 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

    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/crs4397541.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.

    • Expected participants: 14; ECTS-Studium (ECTS-Credits: 10)
    • Termin:
      • Mo 12:00-14:00, Room Übung 3 / 01.252-128 (exclude vac) ICS
      • Mo 12:00-14:00, Room 00.156-113 CIP (exclude vac) ICS

  • Projekt Flat-Panel CT Reconstruction

    This course will be held online. No registration is required to attend this course. All further information will be provided in the StudOn course (link below).

    • Expected participants: 12; ECTS-Studium (ECTS-Credits: 5)
    • Termin:
      • Do 10:00-12:00, Room 0.01-142 CIP (exclude vac) ICS

  • 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/

    • Für Gasthörer zugelassen; ECTS-Studium (ECTS-Credits: 10)
    • Termin:
      • Time and place on appointment

  • Project Remote Sensing

    • 2 SWS; ECTS-Studium (ECTS-Credits: 10)
    • Termin:
      • 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

Friedrich-Alexander-Universität Erlangen-Nürnberg