Curriculum / Courses

Courses

Disclaimer: All data on this page is automatically imported from Univis and is therefore outdated! Make sure you double check the correct schedule in campo.fau.de!

Courses in the current semester

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 studies (ECTS credits: 5), Lecture's language English
    • Date:
      • Time and place on appointment
    • Project Magnetic Resonance Imaging sequence programming

      4 SWS, zweiwöchiges Blockkurs mit Übungen/ 4 SWS block seminar with exercises

      • Expected participants: 20; Allowed for guest students; ECTS studies (ECTS credits: 5), Lecture's language English
      • Date:
        • Mon 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
        • Tue 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
        • Wed 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
        • Thu 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
        • Fry 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
      • Seminar Advanced Deep Learning

        The first session of the semester will an online meeting, subsequent meetings will be in person.

        Registration via StudOn:
        https://www.studon.fau.de/crs4006742.html
        https://www.studon.uni-erlangen.de/univis_2022s.Lecture.21733718

        • 2 SWS; Expected participants: 10; ECTS studies (ECTS credits: 5), Lecture's language English
        • Date:
          • Tue 12:00-14:00, Room Seminarraum ZMPT (exclude vac) ICS
        • Seminar – Road Scene Understanding for the Visually Impaired

          • 2 SWS; ECTS studies (ECTS credits: 5)
          • Date:
            • Fry 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: 10; ECTS studies (ECTS credits: 2,5)
            • Date:
              • Tue 14:15-15:45, Room Seminarraum ZMPT (exclude vac) ICS

            Colloquium (KO)

            • Kolloquium Image Fusion

              • 2 SWS, Lecture's language English
              • Date:
                • Fry 14:00-16:00, Room 09.150 (exclude vac) ICS
              • Kolloquium Computer Vision

                • 2 SWS, Lecture's language English
                • Date:
                  • Mon 10:15-12:00, Room 09.150 (exclude vac) ICS
                • Kolloquium Hybride Bildgebung

                  • 2 SWS
                  • Date:
                    • Thu 17:00-19:00, (exclude vac) ICS
                  • Kolloquium Image Analysis

                    • 2 SWS; Expected participants: 15, Lecture's language English
                    • Date:
                      • Tue 16:00-18:00, Room 09.150 (exclude vac) ICS
                    • Kolloquium Human Speech

                      • 2 SWS; ECTS studies (ECTS credits: 2,5)
                      • Date:
                        • Fry 16:00-18:00, Room 09.150 (exclude vac) ICS
                      • Kolloquium Animal Speech

                        • 2 SWS; ECTS studies (ECTS credits: 2,5)
                        • Date:
                          • Fry 10:30-12:30, Room 09.150 (exclude vac) ICS
                        • Kolloquium Learning Approaches for Medical Big Data Analysis

                          • 2 SWS; Expected participants: 20, Lecture's language English
                          • Date:
                            • Mon 16:00-17:30, Room 09.150 (exclude vac) ICS
                          • Pattern Recognition Symposium

                            dreitägige Blockveranstaltung im Anschluss an die Vorlesungszeit

                            • 1 SWS; ECTS studies, Lecture's language English
                            • Date:
                              • Time and place on appointment
                            • Kolloquium Magnetic Resonance Imaging

                              Das Kolloquium findet als Online-Veranstaltung statt. Zeit: Do 17:00 – 18:30 Uhr.

                              • 2 SWS; Expected participants: 25
                              • Date:
                                • Thu 17:00-18:30, (exclude vac) ICS
                                • Thu 17:00-18:30, (exclude vac) ICS
                              • Kolloquium Inverse Problems and Applications

                                • 2 SWS, Lecture's language English
                                • Date:
                                  • Fry 10:00-12:00, Room 09.150 (exclude vac) ICS
                                • Kolloquium Precision Learning

                                  • 2 SWS; Expected participants: 10, Lecture's language English
                                  • Date:
                                    • Mon 14:00-16:00, Room 09.150 (exclude vac) ICS

                                  Lecture (VORL)

                                  • Cognitive Neuroscience for AI Developers

                                    FAU students register for the written exam via meinCampus.

                                    https://www.studon.fau.de/crs3690005.html

                                    • 4 SWS; ECTS studies (ECTS credits: 5), Lecture's language English
                                    • Date:
                                      • Wed 10:15-11:45, Room H9 (exclude vac) ICS
                                      • Thu 14:15-15:45, Room HG (exclude vac) ICS
                                    • 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)



                                      Application via https://www.studon.fau.de/crs3888652.html

                                      • 2 SWS; Expected participants: 400; Allowed for guest students; ECTS studies (ECTS credits: 2,5), Lecture's language English
                                      • Date:
                                        • Wed 14:15-15:45, Room H7 (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; Allowed for guest students; ECTS studies (ECTS credits: 2,5), Lecture's language English
                                        • Date:
                                          • Time and place on appointment
                                        • 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: 150; ECTS studies (ECTS credits: 5), Lecture's language English
                                          • Date:
                                            • 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: 150; ECTS studies (ECTS credits: 5), Lecture's language English
                                            • Date:
                                              • Time and place on appointment
                                            • Pattern Recognition

                                              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)

                                              • 3 SWS; Expected participants: 500; Certificate; ECTS studies (ECTS credits: 3,75), Lecture's language English
                                              • Date:
                                                • Mon 14:15-15:45, Room H4 (exclude vac) ICS
                                                • Tue 08:15-09:45, Room H4 (exclude vac) ICS

                                              Exercise (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

                                                • 2 SWS; Expected participants: 450; ECTS studies (ECTS credits: 2,5), Lecture's language English
                                                • Date:
                                                  • Wed 16:00-18:00, Room 0.01-142 CIP (exclude vac) ICS
                                                  • Mon 12:00-14:00, Room 0.01-142 CIP (exclude vac) ICS
                                                  • Fry 8:00-10:00, Room 0.01-142 CIP (exclude vac) ICS
                                                  • Thu 14:00-16:00, Room 0.01-142 CIP (exclude vac) ICS
                                                  • Tue 18:00-20:00, Room 0.01-142 CIP (exclude vac) ICS
                                                • Pattern Recognition Exercises

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

                                                  • 1 SWS; Expected participants: 500; ECTS studies (ECTS credits: 1,25)
                                                  • Date:
                                                    • Wed 16:15-17:45, Room 02.151-113 a CIP (exclude vac) ICS
                                                    • Wed 16:15-17:45, Room 02.151-113 b CIP (exclude vac) ICS
                                                    • Tue 16:15-17:45, Room 02.134-113 (exclude vac) ICS

                                                  Lecture with exercise (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; Allowed for guest students; ECTS studies (ECTS credits: 5)
                                                    • Date:
                                                      • 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; ECTS studies (ECTS credits: 5)
                                                      • Date:
                                                        • Time and place on appointment

                                                      Internship (PR)

                                                      • Lab Class Pattern Recognition

                                                        • 4 SWS; ECTS studies (ECTS credits: 5)
                                                        • Date:
                                                          • 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/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.

                                                          • Expected participants: 14; ECTS studies (ECTS credits: 10)
                                                          • Date:
                                                            • Mon 12:00-14:00, Room Übung 3 / 01.252-128 (exclude vac) ICS
                                                            • Mon 12:00-14:00, Room 00.156-113 CIP (exclude vac) ICS
                                                          • Project Remote Sensing

                                                            • 2 SWS; Allowed for guest students; ECTS studies (ECTS credits: 10)
                                                            • Date:
                                                              • Time and place on appointment

                                                            Other courses (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/

                                                              • ECTS studies (ECTS credits: 10)
                                                              • Date:
                                                                • Time and place on appointment

Courses in the coming semester

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; Allowed for guest students; ECTS studies (ECTS credits: 5), Lecture's language English
    • Date:
      • Time and place on appointment
    • Pattern Recognition Symposium

      dreitägige Blockveranstaltung im Anschluss an die Vorlesungszeit

      • 2 SWS; ECTS studies, Lecture's language English
      • Date:
        • Time and place on appointment
      • Seminar Advanced Deep Learning

        • 2 SWS; Expected participants: 10; ECTS studies (ECTS credits: 5), Lecture's language English
        • Date:
          • Tue 12:00-14:00, Room Seminarraum ZMPT (exclude vac) ICS
        • Seminar – Road Scene Understanding for the Visually Impaired

          • 2 SWS; Allowed for guest students; ECTS studies (ECTS credits: 5)
          • Date:
            • Fry 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 studies (ECTS credits: 2,5)
            • Date:
              • Mon 10:15-11:45, Room Übung 3 / 01.252-128 (exclude vac) ICS

            Colloquium (KO)

            • Kolloquium Image Fusion

              • 2 SWS, Lecture's language English
              • Date:
                • Fry 14:00-16:00, Room 09.150 (exclude vac) ICS
              • Kolloquium Computer Vision

                • 2 SWS, Lecture's language English
                • Date:
                  • Mon 10:15-12:00, Room 09.150 (exclude vac) ICS
                • Kolloquium Data Processing for Utility Infrastructure

                  • 2 SWS; Allowed for guest students, Lecture's language English
                  • Date:
                    • Fry 13:00-14:00, Room 09.150 ICS
                  • Kolloquium Hybride Bildgebung

                    • 2 SWS
                    • Date:
                      • Thu 17:00-19:00, (exclude vac) ICS
                    • Kolloquium Image Analysis

                      • 2 SWS; Expected participants: 15, Lecture's language English
                      • Date:
                        • Tue 16:00-18:00, Room 09.150 (exclude vac) ICS
                      • Kolloquium Human Speech

                        • 2 SWS; Allowed for guest students; ECTS studies (ECTS credits: 2,5)
                        • Date:
                          • Fry 16:00-18:00, Room 09.150 (exclude vac) ICS
                        • Kolloquium Animal Speech

                          • 2 SWS; Allowed for guest students; ECTS studies (ECTS credits: 2,5)
                          • Date:
                            • Fry 10:30-12:30, Room 09.150 (exclude vac) ICS
                          • Kolloquium Learning Approaches for Medical Big Data Analysis

                            • 2 SWS; Expected participants: 20, Lecture's language English
                            • Date:
                              • Mon 16:00-17:30, Room 09.150 (exclude vac) ICS
                            • Kolloquium Magnetic Resonance Imaging

                              Das Kolloquium findet als Online-Veranstaltung statt. Zeit: Do 17:00 – 18:30 Uhr.

                              • 2 SWS; Expected participants: 25
                              • Date:
                                • Thu 17:00-18:30, (exclude vac) ICS
                                • Thu 17:00-18:30, (exclude vac) ICS
                              • Kolloquium Inverse Problems and Applications

                                • 2 SWS, Lecture's language English
                                • Date:
                                  • Fry 10:00-12:00, Room 09.150 (exclude vac) ICS
                                • Kolloquium Precision Learning

                                  • 2 SWS; Expected participants: 10, Lecture's language English
                                  • Date:
                                    • Mon 14:00-16:00, Room 09.150 (exclude vac) ICS

                                  Lecture (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 studies (ECTS credits: 5), Lecture's language English
                                    • Date:
                                      • Tue 12:15-13:45, Room H8 (exclude vac) ICS
                                      • Thu 8:15-9:45, Room H11 (exclude vac) ICS
                                    • Computer Vision

                                      • 2 SWS; ECTS studies (ECTS credits: 2,5), Lecture's language English
                                      • Date:
                                        • Thu 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; Allowed for guest students; ECTS studies (ECTS credits: 5)
                                        • Date:
                                          • 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; Allowed for guest students; ECTS studies (ECTS credits: 2,5), Lecture's language English
                                          • Date:
                                            • Fry 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; Allowed for guest students; ECTS studies (ECTS credits: 2,5), Lecture's language English
                                            • Date:
                                              • 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; Allowed for guest students; Certificate; ECTS studies (ECTS credits: 3,75), Lecture's language English
                                              • Date:
                                                • Fry 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 studies (ECTS credits: 3,75), Lecture's language English
                                                • Date:
                                                  • Thu 16:15-17:45, Room H16 (exclude vac) ICS
                                                  • Fry 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 studies (ECTS credits: 5), Lecture's language English
                                                  • Date:
                                                    • 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 studies (ECTS credits: 5), Lecture's language English
                                                    • Date:
                                                      • 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 studies (ECTS credits: 5), Lecture's language English
                                                      • Date:
                                                        • Mon 14:00-16:00, Room Hörsaal ZMPT (exclude vac) ICS

                                                      Exercise (UE)

                                                      • Computer Vision Exercise

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

                                                        • 2 SWS; ECTS studies (ECTS credits: 2,5), Lecture's language English
                                                        • Date:
                                                          • Tue 10:00-12:00, Room 0.01-142 CIP (Course Computer Vision Exercise) ICS
                                                          • Wed 8:00-10:00, Room 00.156-113 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 studies (ECTS credits: 2,5), Lecture's language English
                                                          • Date:
                                                            • Fry 8:00-10:00, Room 0.01-142 CIP (exclude vac) ICS
                                                            • Tue 18:00-20:00, Room 0.01-142 CIP (exclude vac) ICS
                                                            • Thu 14:00-16:00, Room 0.01-142 CIP (exclude vac) ICS
                                                            • Wed 16:00-18:00, Room 0.01-142 CIP (exclude vac) ICS
                                                            • Mon 12:00-14:00, Room 0.01-142 CIP (exclude vac) ICS
                                                          • Introduction to Machine Learning Tutorial

                                                            • 2 SWS; Expected participants: 250; Allowed for guest students, Lecture's language English
                                                            • Date:
                                                              • Tue 12:15-13:45, Room 0.151-115 (exclude vac) ICS
                                                            • Introduction to Machine Learning Exercises

                                                              • 2 SWS; Expected participants: 350; Allowed for guest students; Certificate; ECTS studies (ECTS credits: 1,25), Lecture's language English
                                                              • Date:
                                                                • Thu 10:15-11:45, Room 01.255-128 (exclude vac) ICS
                                                                • Tue 10:15-11:45, Room 01.255-128 ICS
                                                                • Wed 8:15-9:45, Room 01.255-128 (exclude vac) ICS
                                                                • Mon 8:15-9:45, Room 00.152-113 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; Allowed for guest students; ECTS studies (ECTS credits: 1,25), Lecture's language English
                                                                • Date:
                                                                  • Tue 14:00-15:00, Room 02.151-113 a CIP (exclude vac) ICS
                                                                  • Tue 14:00-15:00, Room 02.151-113 b CIP (exclude vac) ICS
                                                                  • Thu 10:15-11:45, Room Übung 3 / 01.252-128 (exclude vac) ICS
                                                                  • Tue 15:00-16:00, Room 02.151-113 a CIP (exclude vac) ICS
                                                                  • Tue 15:00-16:00, Room 02.151-113 b CIP (exclude vac) ICS
                                                                • Speech and Language Understanding Exercises

                                                                  • Allowed for guest students; ECTS studies, Lecture's language English
                                                                  • Date:
                                                                    • Tue 12:15-13:45, Room 00.156-113 CIP (exclude vac) ICS

                                                                  Lecture with exercise (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; Allowed for guest students; ECTS studies (ECTS credits: 5)
                                                                    • Date:
                                                                      • 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; Allowed for guest students; ECTS studies (ECTS credits: 5)
                                                                      • Date:
                                                                        • Time and place on appointment

                                                                      Course (KU)

                                                                      • Project Magnetic Resonance Imaging sequence programming

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

                                                                        • Expected participants: 20; Allowed for guest students; ECTS studies (ECTS credits: 5), Lecture's language English
                                                                        • Date:
                                                                          • Mon 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
                                                                          • Tue 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
                                                                          • Wed 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
                                                                          • Thu 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS
                                                                          • Fry 9:30-17:30, Room 00.153-113 CIP (exclude vac) ICS

                                                                        Internship (PR)

                                                                        • Lab Class Pattern Recognition

                                                                          • 4 SWS; Allowed for guest students; ECTS studies (ECTS credits: 5)
                                                                          • Date:
                                                                            • 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 studies (ECTS credits: 10)
                                                                            • Date:
                                                                              • Mon 12:00-14:00, Room Übung 3 / 01.252-128 (exclude vac) ICS
                                                                              • Mon 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 studies (ECTS credits: 5)
                                                                              • Date:
                                                                                • Thu 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/

                                                                                • Allowed for guest students; ECTS studies (ECTS credits: 10)
                                                                                • Date:
                                                                                  • Time and place on appointment
                                                                                • Project Remote Sensing

                                                                                  • 2 SWS; Allowed for guest students; ECTS studies (ECTS credits: 10)
                                                                                  • Date:
                                                                                    • 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 Machine Learning (IntroML)
(Unterrichtssprache: Englisch)
V: Introduction to Machine Learning (IntroML) 3 7.5 WS B oder M Please look in univis
Ü: Introduction to Machine Learning 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