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Disclaimer: All data on this page is automatically imported from Univis and is therefore outdated!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

Courses

Courses in the current semester Courses in the current semester

Seminar (SEM)

Colloquium (KO)

Lecture (VORL)

Exercise (UE)

Lecture with exercise (V/UE)

Internship (PR)

Other courses (SL)

Courses in the coming semester Courses in the coming semester

Seminar (SEM)

Colloquium (KO)

Lecture (VORL)

Exercise (UE)

Lecture with exercise (V/UE)

Course (KU)

Internship (PR)

Supplementary Material

Free Deep Learning Resources

Wahlpflichtmodule der Vertiefungsrichtung Mustererkennung

Courses in the current semester

Courses in the coming semester