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course list >> Technische Fakultät (Tech) >> Artificial Intelligence (AI) >>

Lehrveranstaltungsverzeichnis Masterstudiengang Artificial Intelligence (AI)

 

Seminar "Visual Computing" [VCHS(AR)]

Lecturers:
Tobias Günther, Tim Weyrich
Details:
Masterseminar, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium
Dates:
Wed, 16:15 - 17:45, 01.151-128
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
In this seminar, attendance is mandatory. Up to three missed sessions are allowed. In case of absence due to medical or other exceptional reasons, exceptions can be made if the lecturers are informed before the missed seminar session.
Keywords:
Visual Computing

 

AI-1 Systems Project [AI1SysProj]

Lecturers:
Michael Kohlhase, Jan Frederik Schäfer
Details:
Projektseminar, 4 cred.h, ECTS: 10
Dates:
Tue, 14:15 - 16:00, Zoom-Meeting
Fields of study:
WPF AI-MA ab 1

 

Master-Projekt Datenmanagement

Lecturers:
Richard Lenz, Viktor Leis, Alle Assistenten
Details:
Projektseminar, 2 cred.h, ECTS: 10, nur Fachstudium
Dates:
unregelmäßig, nach Bedarf
Fields of study:
WPF AI-MA 3
Keywords:
Master; Projekt; Project; Masterprojekt; Master Projekt; EDEN; BATS; TDQMed; DSAM

 

Fantastic datasets and where to find them [FANDAT]

Lecturers:
Andreas Kist, René Groh
Details:
Seminar, 2 cred.h, graded certificate, ECTS: 2,5, nur Fachstudium, für FAU Scientia Gaststudierende zugelassen
Dates:
Thu, 13:15 - 14:45, Zoom-Meeting
Online only seminar, please register via StudOn to have access to the Zoom link
Fields of study:
WPF AI-MA ab 1

 

Green AI - AI for Sustainability and Sustainability of AI [GREENAI]

Details:
Seminar, 2 cred.h, graded certificate, ECTS: 5, für FAU Scientia Gaststudierende zugelassen, There are no more free places in the SS 2022.
Fields of study:
WPF AI-MA ab 1

 
 
Wed10:15 - 11:4500.010  Dorschky, E.
Raab, R.
Eskofier, B.		 
 

Machine Learning and Data Analytics for Industry 4.0

Lecturers:
Björn Eskofier, Johannes Roider, Christoph Scholl, Lukas Schmidt
Details:
Seminar, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium, für FAU Scientia Gaststudierende zugelassen, Registration via mail to johannes.roider@fau.de
Dates:
Wed, 16:15 - 18:00, 00.010
Starts April 27th 2022
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Registration via e-mail to johannes.roider@fau.de Registration period: 25.02.-04.05.2022
The seminar will be held face-to-face.
Requirements:

  • Prior knowledge of machine learning via courses like PA, IntroPR, PR, DL, MLTS, CVP or equivalent (ideally first project experiences) is expected!

  • Motivation to explore scientific findings (e.g. via literature research)

  • Motivation to code and analyze data

Please state your previous experience in machine learning (e. g. Which courses did you take? Which project experience do you have?) when registering for the course.

Examination:
50% of grade: Presentation + demo (20 minutes)
50% of grade 4 pages IEEE standard paper (excluding references) (+ code submission)
Attendance of all meetings is required.

Keywords:
Machine Learning, Data Analytics, Process Mining, Predictive Maintenance, Industry 4.0, Healthcare, Automotive

 

Seminar Humans in the Loop: The Design of Interactive AI Systems

Lecturer:
Bernhard Kainz
Details:
Seminar, 2 cred.h, ECTS: 5
Dates:
to be determined
Fields of study:
WPF AI-MA ab 2
Prerequisites / Organisational information:
recommended prerequisites:
Deep Learning ML Prof. Dr. Andreas Maier 2+2 5 x E
Pattern Recognition ML Prof. Dr. Andreas Maier 3+1+2 5 x E
Maschinelles Lernen für Zeitreihen ML Prof. Eskofier, Prof. Oliver Amft, Dr. Ch. Mutschler 2+2+2 7.5 x E

 

Computational Imaging Project

Lecturers:
Florian Knoll, Zhengguo Tan
Details:
Sonstige Lehrveranstaltung, 8 cred.h, ECTS: 10, nur Fachstudium, für FAU Scientia Gaststudierende zugelassen
Dates:
to be determined
Fields of study:
WPF AI-MA 1

 

Project Representation Learning

Lecturer:
Bernhard Kainz
Details:
Sonstige Lehrveranstaltung, 8 cred.h, ECTS: 10, nur Fachstudium
Dates:
to be determined
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
recommended:
Deep Learning ML Prof. Dr. Andreas Maier 2+2 5 x E
Pattern Recognition ML Prof. Dr. Andreas Maier 3+1+2 5 x E
Maschinelles Lernen für Zeitreihen ML Prof. Eskofier, Prof. Oliver Amft, Dr. Ch. Mutschler 2+2+2 7.5 x E

 

Projekt Mustererkennung

Lecturer:
Andreas Maier
Details:
Sonstige Lehrveranstaltung, graded certificate, ECTS: 10, 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/
Dates:
to be determined
Fields of study:
WPF AI-MA ab 1
Keywords:
Master Projekt Project

 

The AMOS Project (UE) [OSS-AMOS-UE(A)]

Lecturer:
Dirk Riehle
Details:
Übung, für FAU Scientia Gaststudierende zugelassen
Fields of study:
WPF AI-MA ab 1

 
 
Mon08:15 - 09:45Übung 3 / 01.252-128  Riehle, D. 
 
 
Mon18:15 - 19:4500.152-113  Riehle, D. 
 
 
Tue18:15 - 19:4501.255-128  Riehle, D. 
 
 
Wed08:15 - 09:45Übung 3 / 01.252-128  Riehle, D. 
 
 
Wed14:15 - 15:4501.151-128  Riehle, D. 
 
 
Thu08:15 - 09:45Übung 3 / 01.252-128  Riehle, D. 
 
 
Thu10:15 - 11:45Übung 3 / 01.252-128  Riehle, D. 
 
 
Fri16:15 - 17:45Übung 3 / 01.252-128  Riehle, D. 
 

Übungen zu Wissensrepräsentation und -verarbeitung [ÜWuV(A)]

Lecturer:
Florian Rabe
Details:
Übung, 2 cred.h, Won't take place in the first week. Takes place in the same zoom room as the lecture.
Fields of study:
WPF AI-MA ab 1

 
 
Thu14:15 - 15:4501.255-128  Rabe, F. 
 

Biomedical Signal Analysis [BioSig(A)]

Lecturer:
Björn Eskofier
Details:
Vorlesung, 2 cred.h, ECTS: 2,5
Dates:
Wed, 08:15 - 09:45, H10
Online
Fields of study:
WPF AI-MA ab 1

 

Biomedical Signal Analysis Exercise [BioSig-UE(A)]

Lecturer:
Björn Eskofier
Details:
Übung, 2 cred.h, ECTS: 2,5
Fields of study:
WPF AI-MA ab 1

 
 
Thu16:15 - 17:45EL 4.14  Eskofier, B. 
 

Cognitive Neuroscience for AI Developers [CNAID(A)]

Lecturers:
Patrick Krauß, Andreas Kist, Andreas Maier
Details:
Vorlesung, 4 cred.h, ECTS: 5, nur Fachstudium
Dates:
Wed, 10:15 - 11:45, H9
Thu, 14:15 - 15:45, HG
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
FAU students register for the written exam via meinCampus.
https://www.studon.fau.de/crs3690005.html

 

Lecture Machine Learning for Time Series [MLTS(A)]

Lecturers:
Björn Eskofier, , Dario Zanca, Luis Ignacio Lopera Gonzalez
Details:
Vorlesung, 2 cred.h, graded certificate, ECTS: 2,5
Dates:
Tue, 08:15 - 09:45, 05.025
Fields of study:
WPF AI-MA ab 1

 

Lab project Machine Learning for Time Series

Lecturers:
An Nguyen, Johannes Roider
Details:
Praktikum, 2 cred.h, ECTS: 2,5
Dates:
to be determined
Fields of study:
WPF AI-MA ab 1

 

Machine Learning for Time Series Exercise [MLTS-UE(A)]

Lecturers:
Leo Schwinn, Philipp Schlieper
Details:
Übung, 2 cred.h, ECTS: 2,5
Dates:
Wed, 10:15 - 11:45, 0.68
Fields of study:
WPF AI-MA ab 1

 

Medical Image Processing for Diagnostic Applications (VHB course)

Lecturers:
Andreas Maier, Luis Carlos Rivera Monroy, Celia Martín Vicario, Manuela Meier, Arpitha Ravi
Details:
Vorlesung, 4 cred.h, ECTS: 5
Dates:
to be determined
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
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.

Keywords:
Mustererkennung, Medizinische Bildverarbeitung

 

Medical Image Processing for Interventional Applications (online course)

Lecturers:
Andreas Maier, Luis Carlos Rivera Monroy, Celia Martín Vicario, Manuela Meier, Arpitha Ravi
Details:
Vorlesung, 4 cred.h, ECTS: 5
Dates:
to be determined
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
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.
Keywords:
Mustererkennung, Medizinische Informatik, Medizinische Bildverarbeitung

 

Middleware - Cloud Computing [MW(A)]

Lecturer:
Tobias Distler
Details:
Vorlesung, 2 cred.h, ECTS: 2,5
Dates:
Thu, 10:15 - 11:45, 0.031-113
Die Vorlesung findet in Präsenz statt und wird zusätzlich online übertragen.
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Geeignet für Bachelor ab 5. Semester, Master ab 1. Semester
Empfohlene Grundlagenveranstaltung: Systemprogrammierung I
Anmeldung zu den Übungen erforderlich

 

Erweiterte Übungen zu Middleware - Cloud Computing

Lecturers:
Laura Lawniczak, Tobias Distler
Details:
Übung, 2 cred.h, ECTS: 5
Dates:
Veranstaltung findet zusammen mit "Übungen zu Middleware - Cloud Computing" statt.
Fields of study:
WPF AI-MA ab 1

 

Rechnerübungen zu Middleware - Cloud Computing [RÜ MW]

Lecturers:
Tobias Distler, Laura Lawniczak
Details:
Übung, 2 cred.h, Die Rechnerübung ist als Präsenzveranstaltung geplant, es wird aber (im selben Zeitslot) ebenfalls eine Onlinevariante geben
Dates:
Thu, 14:00 - 16:00, 01.153-113 CIP
Mon, 10:00 - 11:00, Zoom-Meeting
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Die Rechnerübung ist nur bei Bedarf betreut, ansonsten unbetreut. D.h. wenn zu Beginn der Übung kein Bedarf besteht findet die Übung unbetreut statt. Bei Fragen, die in der Übung nicht geklärt wurden, einfach bei uns vorbeischauen oder eine kurze e-Mail an i4mw-owner@lists.cs.fau.de schreiben.

 

Übungen zu Middleware - Cloud Computing

Lecturers:
Laura Lawniczak, Tobias Distler
Details:
Übung, 2 cred.h, ECTS: 2,5
Dates:
Die Tafelübungen werden asynchron als Videos angeboten. Mehr Informationen auf der Webseite und beim ersten Termin der Vorlesung.
Fields of study:
WPF AI-MA ab 1

 

The AMOS Project (VL) [OSS-AMOS-VL(A)]

Lecturer:
Dirk Riehle
Details:
Vorlesung, 2 cred.h, ECTS: 5, für FAU Scientia Gaststudierende zugelassen
Dates:
Mon, 10:15 - 11:45, H9
Fields of study:
WPF AI-MA ab 1

 

Wissensrepräsentation und -verarbeitung [WuV(A)]

Lecturers:
Florian Rabe, Michael Kohlhase
Details:
Vorlesung, 4 cred.h, ECTS: 7,5, nur Fachstudium
Dates:
Tue, 14:15 - 15:45, H6
Wed, 10:15 - 11:45, H6
Details auf https://kwarc.info/courses/wuv/
Fields of study:
WPF AI-MA ab 1

 

Advanced Mechanized Reasoning in Coq [AMeRiCo(A)]

Lecturer:
Tadeusz Litak
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 7,5, geeignet als Schlüsselqualifikation
Dates:
Tue, 08:15 - 09:45, 01.151-128
Thu, 16:15 - 17:45, 01.151-128
Fields of study:
WPF AI-MA ab 1
Keywords:
Coq Proof Assistants Mechanized Reasoning

 

Inertial Sensor Fusion [ISF(A)]

Lecturers:
Thomas Seel, Simon Bachhuber
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 5
Dates:
Tue, 16:15 - 17:45, H10
Wed, 10:15 - 11:45, H10
Fields of study:
WPF AI-MA ab 1

 

Kommunikation und Parallele Prozesse [KommPar(A)]

Lecturer:
Lutz Schröder
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 7,5
Dates:
Tue, 16:15 - 17:45, 02.133-113
Fri, 10:15 - 11:45, 02.133-113
Fields of study:
WPF AI-MA ab 1

 

Logik-Basierte Sprachverarbeitung [LBS(A)]

Lecturers:
Michael Kohlhase, Florian Rabe
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 5, nur Fachstudium, je nachdem was die Studierenden besser verstehen.
Dates:
Tue, 16:15 - 17:45, 04.023
Thu, 10:15 - 11:45, 04.023
https://www.studon.fau.de/crs4139317.html und https://kwarc.info/courses/lbs
Fields of study:
WPF AI-MA ab 1

 

Big Data Seminar

Lecturers:
Dominik Probst, Demian E. Vöhringer
Details:
Seminar, 2 cred.h, ECTS: 5, nur Fachstudium
Dates:
nach Vereinbarung
Fields of study:
WF AI-MA ab 1
Keywords:
Big Data; Machine Learning; Predictive Maintenance

 

Virtual and Augmented Reality [VRAR]

Lecturers:
Daniel Roth, Tutoren, Gastredner
Details:
Sonstige Lehrveranstaltung, 8 cred.h, graded certificate, ECTS: 10, nur Fachstudium, Combination of lecture (2 SWS) and practical course (6 SWS). Rückfragen, Verständnisfragen, sowie Prüfung können auch auf Deutsch abgelegt werden. --- Questions, comprehension questions, as well as examination can also be taken in German.
Dates:
Wed, 13:30 - 15:00, Zoom-Meeting
Neben den regelmäßigen Zoom Meetings wird (je nach Corona Maßnahmen) „Open Lab“ Möglichkeiten unter Einhaltung Corona Maßnahmen geben. --- In addition to regular Zoom meetings, there will be (depending on Corona measures) "Open Lab" opportunities while adhering to Corona measures.
Fields of study:
WF AI-MA ab 1
WF AI-MA ab 1
Keywords:
Virtual Reality, Extended Reality, Augmented Reality



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