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

Lehrveranstaltungsverzeichnis Masterstudiengang Artificial Intelligence (AI)

 

Master-Projekt Datenmanagement [MastProj]

Lecturers:
Richard Lenz, 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

 

Projekt Künstliche Intelligenz [P KI]

Lecturer:
Michael Kohlhase
Details:
Projektseminar
Dates:
KI-Projektarbeiten werden individuell vergeben und betreut. Details siehe https://kwarc.info/courses/AIProj/
Fields of study:
WPF AI-MA ab 1

 

Fantastic datasets and where to find them [FANDAT]

Lecturer:
Andreas Kist
Details:
Seminar, 2 cred.h, graded certificate, ECTS: 2,5, nur Fachstudium
Dates:
Thu, 13:15 - 14:45, Zoom-Meeting
starting 22.4.2021
Fields of study:
WPF AI-MA ab 1

 

Maschinelles Lernen und Datenanalytik für Industrie 4.0 [MADI40]

Lecturers:
Björn Eskofier, An Nguyen, Franz Köferl, Philipp Schlieper, Christoph Scholl
Details:
Seminar, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium, Registration via mail to an.nguyen@fau.de
Dates:
Wed, 16:15 - 18:00, 00.010
Starts on 14.04.2021
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Prerequisites Registration via e-mail to an.nguyen@fau.de Registration period: 15.02-19.04.2021

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. More information will be sent via mail to registered students.

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

Examination:
50% of grade: Presentation + demo (20 minutes)
50% of grade 4 pages IEEE standard paper (excluding references) + code submission
Attending the presentations of other students

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

 

Seminar AI for Healthcare: Challenges in Translating Promises into Patient Outcomes [AIOutcomes]

Lecturers:
Katharina Breininger, Mathias Unberath, Nishant Ravikumar
Details:
Seminar, 2 cred.h, ECTS: 5, This course will be conducted online. Registration will be enabled via StudOn starting in May. If you are interested in attending the seminar, please send an email to katharina.breininger@fau.de.
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
FAU students register for the course in StudOn. Registration will be enabled via StudOn starting in May. If you are interested in attending the seminar, please send an email to katharina.breininger@fau.de.
The seminar is offered as a compact course during summer intersession in September (exact dates are tbd).
This course is offered under the prerequisite that the corresponding funding for Prof. Dr.-Ing. Mathias Unberath and Dr. Nishant Ravikumar is granted by FAU.

 
 
tbd.    N.N. 
 

Seminar Artificial Intelligence and Neuroscience [SemAINeuro]

Lecturers:
Andreas Maier, Patrick Krauß, Joachim Hornegger
Details:
Seminar, 2 cred.h, ECTS: 5, nur Fachstudium, 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 provided in the studon course.
Dates:
Mon, 8:15 - 9:45, KH 1.021
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Registrierung via StudOn: https://www.studon.fau.de/crs3687384.html
Keywords:
algorithms; medical image processing

 

Applied Software Engineering Master-Projekt [OSS-PROJ]

Lecturer:
Dirk Riehle
Details:
Sonstige Lehrveranstaltung, ECTS: 10
Dates:
to be determined
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
ALL COURSES WILL BE MANAGED FULLY ONLINE UNTIL WE CAN RETURN TO IN-PERSON TEACHING.

 

Project Machine Learning and Data Analytics [ProjMAD]

Lecturers:
Björn Eskofier, Dario Zanca, An Nguyen
Details:
Sonstige Lehrveranstaltung, graded certificate, ECTS: 10, Registration via email to dario.zanca@fau.de or an.nguyen@fau.de
Dates:
Thu, 16:15 - 18:00, 00.010
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Master Studium Informatik
Kick-off seminar on first Thursday of each semester (SS2021 - 15.04.2021)
Depending on the topic knowledge from courses like PR, PA, DL, MLTS or CV including good Python programming skills are required. Motivation to code and experiment
Keywords:
Master Projekt Project

 

Projekt Mustererkennung [ProjME]

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 (Exercise) [OSS-AMOS-UE]

Lecturer:
Dirk Riehle
Details:
Übung, ECTS: 5
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
ALL COURSES WILL BE MANAGED FULLY ONLINE UNTIL WE CAN RETURN TO IN-PERSON TEACHING.

 
 
 14:15 - 15:45n.V.  Riehle, D. 
 
 
 14:15 - 15:45n.V.  Riehle, D. 
 
 
Wed12:30 - 14:00n.V.  Riehle, D. 
 
 
Wed12:30 - 14:00n.V.  Riehle, D. 
 
 
Wed12:30 - 14:00n.V.  Riehle, D. 
 
 
Wed12:30 - 14:00n.V.  Riehle, D. 
 
 
Wed12:30 - 14:00n.V.  Riehle, D. 
 
 
Wed12:30 - 14:00n.V.  Riehle, D. 
 
 
Wed18:15 - 19:45n.V.  Riehle, D. 
 

Übungen zu Wissensrepräsentation und -verarbeitung [ÜWuV]

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

 
 
Mon12:15 - 13:4502.133-113  Rabe, F. 
 

Approximate Computing [APPROXC]

Lecturers:
Oliver Keszöcze, Jürgen Teich
Details:
Vorlesung, 2 cred.h, ECTS: 5
Dates:
Thu, 14:15 - 15:45, 02.112-128
Fields of study:
WPF AI-MA ab 1

 

Exercises to Approximate Computing [APPROXC-EX]

Lecturers:
Jorge A. Echavarria, Pierre-Louis Sixdenier
Details:
Übung
Dates:
Tue, 10:00 - 12:00, 02.133-128
Fields of study:
WPF AI-MA ab 1

 

Artificial Intelligence II [AI II]

Lecturer:
Michael Kohlhase
Details:
Vorlesung, 4 cred.h, Artificial Intelligence II will take place this semester, probably online. For details, see the announcements at https://fsi.cs.fau.de/forum/149-Kuenstliche-Intelligenz-II
Dates:
Wed, 10:15 - 11:45, H8
Tue, 8:15 - 9:45, HH
Artificial Intelligence II will be online this semester. For details, see the announcements on StudOn
Fields of study:
WPF AI-MA ab 1
WPF AI-MA ab 1

 

Übungen zu Artificial Intelligence II [UeAI II]

Lecturer:
Florian Rabe
Details:
Übung, 2 cred.h
Fields of study:
WPF AI-MA ab 1

 
 
Tue10:15 - 11:45Übung 3 / 01.252-128  Rapp, M.G. 
 
 
Wed12:15 - 13:4501.151-128  Schäfer, J.F.
Rabe, F.		 
 
 
Wed16:15 - 17:4501.021  Schäfer, J.F.
Rabe, F.		 
 
 
Thu10:15 - 11:45Übung 3 / 01.252-128  Rapp, M.G. 
 

Cognitive Neuroscience for AI Developers [CNAID]

Lecturers:
Patrick Krauß, Andreas Kist, Andreas Maier
Details:
Vorlesung, 4 cred.h, ECTS: 5, nur Fachstudium, 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 provided in the studon course.
Dates:
Tue, 14:15 - 15:45, 09.150
Thu, 10:15 - 11:45, 09.150
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

 

Computer Vision [CV]

Lecturers:
Vincent Christlein, Ronak Kosti
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium
Dates:
Mon, 8:15 - 9:45, H4
Fields of study:
WPF AI-MA ab 1
Keywords:
computer vision; stereo vision; structure from motion; multi-view reconstruction; convolutional neural networks

 

Computer Vision Exercise [CV-E]

Lecturers:
Prathmesh Madhu, Mathias Seuret
Details:
Übung, 2 cred.h, ECTS: 2,5, nur Fachstudium, Check StudOn: https://www.studon.fau.de/studon/ilias.php?ref_id=2944507&cmd=frameset&cmdClass=ilrepositorygui&cmdNode=yl&baseClass=ilRepositoryGUI
Dates:
to be determined
Fields of study:
WPF AI-MA ab 1
Keywords:
computer vision; stereo vision; structure from motion; multi-view reconstruction; convolutional neural networks

 

Deep Learning [DL]

Lecturer:
Andreas Maier
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium, Information regarding the online teaching will be added to the studon course
Dates:
Tue, 16:15 - 17:45, H4
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
The following lectures are recommended:

  • Introduction to Pattern Recognition (IntroPR)

  • Pattern Recognition (PR)

https://www.studon.fau.de/crs3729302.html

Keywords:
deep learning; machine learning

 

Deep Learning Exercises [DL E]

Lecturers:
Florian Thamm, Zijin Yang, Noah Maul, Karthik Shetty
Details:
Übung, 2 cred.h, ECTS: 2,5, nur Fachstudium, 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
Fields of study:
WPF AI-MA ab 1
Keywords:
deep learning; machine learning

 
 
Mon12:00 - 14:000.01-142 CIP  Thamm, F. 
 
 
Tue18:00 - 20:000.01-142 CIP  Thamm, F. 
 
 
Wed16:00 - 18:000.01-142 CIP  Thamm, F. 
 
 
Thu14:00 - 16:000.01-142 CIP  Thamm, F. 
 
 
Fri8:00 - 10:000.01-142 CIP  Thamm, F. 
 

Human Computer Interaction [HCI]

Lecturer:
Björn Eskofier
Details:
Vorlesung, 3 cred.h, ECTS: 3,75
Dates:
Mon, 8:15 - 9:45, H10
Fri, 10:15 - 11:45, H10
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Folien zur Vorlesung und Organisation über Studon.
Keywords:
human-computer interaction, Mensch-Maschine-Schnittstelle, grafische Benutzerschnittstellen, mobile Mensch-Computer-Interaktion, Mensch-Maschine-Interaktion im Fahrzeug, ubiquitäre und eingebettete interaktive Systeme

 

Human Computer Interaction Exercises [HCI-E]

Lecturer:
Wolfgang Mehringer
Details:
Übung, 1 cred.h, ECTS: 1,25
Dates:
Mon, 14:15 - 15:45, K1-119 Brose-Saal
Fields of study:
WPF AI-MA ab 1
Keywords:
human-computer interaction, Mensch-Maschine-Schnittstelle, grafische Benutzerschnittstellen, mobile Mensch-Computer-Interaktion, Mensch-Maschine-Interaktion im Fahrzeug, ubiquitäre und eingebettete interaktive Systeme

 

Medical Image Processing for Diagnostic Applications (VHB course) [MIPDA]

Lecturers:
Andreas Maier, Tristan Gottschalk, Celia Martín Vicario, Julian Hoßbach
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) [MIPIA]

Lecturers:
Andreas Maier, Tristan Gottschalk, Celia Martín Vicario, Julian Hoßbach
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

 

Computational Neurotechnology [Neurotech]

Lecturer:
Tobias Reichenbach
Details:
Vorlesung, 2 cred.h, ECTS: 5, nur Fachstudium
Dates:
Tue, 10:15 - 11:45, Zoom-Meeting
Fields of study:
WPF AI-MA 2

 

Computational Neurotechnology [Neurotech]

Lecturer:
Tobias Reichenbach
Details:
Übung, 2 cred.h, ECTS: 2,5, nur Fachstudium
Dates:
Fri, 14:15 - 15:45, Zoom-Meeting
Fields of study:
WPF AI-MA 2
Keywords:
Neurotechnologie, neuroengineering, neurotechnology, computational, neuroscience, brain-machine-interface, brain-computer interface, neurorehabilitation

 

Parallel Systems [PSys]

Lecturers:
Frank Hannig, Jürgen Teich
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium
Dates:
Thu, 10:15 - 11:45, 01.255-128
per Zoom, weitere Details nach Anmeldung via StudOn: https://www.studon.fau.de/crs3634603_join.html
Fields of study:
WPF AI-MA ab 1

 

Erweiterte Übungen zu Parallele Systeme [EU-PSys]

Lecturers:
Michael Witterauf, Stefan Groth, Marcel Brand, Frank Hannig
Details:
Übung, 2 cred.h, ECTS: 2,5
Dates:
Thu, 14:00 - 18:00, 02.133-128
Wed, 8:00 - 12:00, 02.133-128
single appointment on 8.6.2021, single appointment on 6.7.2021, single appointment on 13.7.2021, 9:00 - 13:00, 02.133-128
single appointment on 14.7.2021, 10:00 - 14:00, 02.133-128
single appointment on 16.7.2021, 9:00 - 13:00, 14:00 - 18:00, 02.133-128
verpflichtend, vor Ort an den Rechnerarbeitsplätzen des Lehrstuhls
Fields of study:
WPF AI-MA ab 1

 

Übung zu Parallele Systeme [UE-PSys]

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

 
 
Wed8:15 - 9:4501.255-128  Witterauf, M. 
 
 
Thu8:00 - 9:3002.133-128  Hannig, F. 
 
 
Thu8:15 - 9:4501.255-128  Groth, S.
Özkan, M.A.		 
 

Pattern Analysis [PA]

Lecturer:
Christian Riess
Details:
Vorlesung, 3 cred.h, graded certificate, ECTS: 3,75, 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
Dates:
Tue, Fri, 12:15 - 13:45, H16
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
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.
Keywords:
pattern recognition, pattern analysis

 

Pattern Analysis Programming [PA-Prog]

Lecturers:
Mathias Seuret, Zhaoya Pan
Details:
Übung, 1 cred.h, ECTS: 1,25, 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
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
The exercise material is published in the studOn class for the lecture Pattern Analysis.
Keywords:
pattern analysis, programming

 
 
Tue14:00 - 15:0002.151-113 a CIP, 02.151-113 b CIP  N.N. 
 
 
Tue15:00 - 16:0002.151-113 a CIP, 02.151-113 b CIP  N.N. 
 
 
Thu14:15 - 15:45Übung 3 / 01.252-128  N.N. 
 

Speech Understanding [SLU]

Lecturer:
Andreas Maier
Details:
Vorlesung, 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:
https://www.studon.fau.de/crs3717775.html
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt über: StudOn
Keywords:
Mustererkennung, Merkmale, HMM, Sprachmodelle, Prosodie, Suchalgorithmen

 

Speech and Language Understanding Exercises [SLU-UE]

Lecturer:
Andreas Maier
Details:
Übung
Dates:
Tue, 12:15 - 13:45, 00.156-113 CIP
Fields of study:
WPF AI-MA ab 1

 

Swarm Intelligence (SI), formerly Organic Computing (OC) [SI]

Lecturer:
Rolf Wanka
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, Also for CE; Formerly known as Organic Computing (OC)
Dates:
Thu, 12:15 - 13:45, K1-119 Brose-Saal
Fields of study:
WPF AI-MA ab 1

 

Übungen zu Swarm Intelligence [ExSI]

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

 
 
Tue10:15 - 11:45Übung 4 / 01.253-128  Kergaßner, M. 
 
 
Wed10:15 - 11:4500.151-113  Kergaßner, M. 
 

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

Lecturer:
Dirk Riehle
Details:
Vorlesung, 2 cred.h, ECTS: 5
Dates:
Wed, 10:15 - 11:45, room tbd
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
ALL COURSES WILL BE MANAGED FULLY ONLINE UNTIL WE CAN RETURN TO IN-PERSON TEACHING.

 

Verifikation digitaler Systeme [VdS]

Lecturer:
Oliver Keszöcze
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium
Dates:
Thu, 8:30 - 10:00, 02.112-128
Fields of study:
WPF AI-MA ab 1

 

Übung zur Verifikation digitaler Systeme [UE-VdS]

Lecturer:
Oliver Keszöcze
Details:
Übung, 2 cred.h, ECTS: 2,5
Dates:
Thu, 10:00 - 11:30, 02.112-128
Fields of study:
WPF AI-MA ab 1

 

Verteilte Systeme [VS]

Lecturer:
Tobias Distler
Details:
Vorlesung, 2 cred.h, ECTS: 2,5, nur Fachstudium
Dates:
Thu, 12:15 - 13:45, 0.031-113
Fields of study:
WPF AI-MA ab 1

 

Erweiterte Übungen zu Verteilte Systeme [EÜ VS]

Lecturers:
Michael Eischer, Laura Lawniczak, Tobias Distler
Details:
Übung, 4 cred.h, ECTS: 5
Dates:
Tue, 10:00 - 12:00, 02.151-113 b CIP
starting 20.4.2021
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt von Donnerstag, 1.4.2021, 10:00 Uhr bis Freitag, 30.4.2021, 23:59 Uhr über: Waffel .

 

Übungen zu Verteilte Systeme [Ü VS]

Lecturers:
Michael Eischer, Laura Lawniczak, Tobias Distler
Details:
Übung, 2 cred.h, ECTS: 2,5
Dates:
Tue, 10:00 - 12:00, 02.151-113 a CIP
starting 20.4.2021
Fields of study:
WPF AI-MA ab 1

 

Visual Computing in Medicine 2 [VCMed2]

Lecturers:
Thomas Wittenberg, Peter Hastreiter
Details:
Vorlesung, ECTS: 2,5
Dates:
Wed, 14:15 - 15:45, H10
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
Until further notice, this course will take place in electronic form. Detailed information is provided in the StudOn-course "Visual Computing in Medicine 2 (VCMed 2) - summer term 2020".
Bis auf Weiteres findet der Kurs in elektronischer Form statt. Weitere Informationen finden Sie im StudOn-Kurs "Visual Computing in Medicine 2 (VCMed 2) - summer term 2020".

 

Wissensrepräsentation und -verarbeitung [WuV]

Lecturers:
Florian Rabe, Michael Kohlhase
Details:
Vorlesung, 4 cred.h, ECTS: 7,5, nur Fachstudium
Dates:
Tue, Wed, 16:15 - 17:45, H6
Die Vorlesung WuV wird (fast) wie geplant stattfinden. Details auf https://fsi.cs.fau.de/forum/154-Wissensrepraesentation-und-Verarbeitung
Fields of study:
WPF AI-MA ab 1

 

Artificial Motor Learning [AML]

Lecturer:
Thomas Seel
Details:
Vorlesung mit Übung, 2 cred.h, ECTS: 2,5
Dates:
Wed, 10:15 - 11:45, Zoom-Meeting
Day and time of the zoom meetings are up to negotiation between participants and lecturer.
Fields of study:
WPF AI-MA ab 1

 

Introduction to Explainable Machine Learning [xML]

Lecturer:
Thomas Seel
Details:
Vorlesung mit Übung, 2 cred.h, ECTS: 2,5
Dates:
Thu, 10:15 - 11:45, Zoom-Meeting
Day and time of the zoom meetings are up to negotiation between participants and lecturer.
Fields of study:
WPF AI-MA ab 1

 

Kommunikation und Parallele Prozesse [KommPar]

Lecturer:
Sergey Goncharov
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 7,5, geeignet als Schlüsselqualifikation
Dates:
Mon, 16:15 - 17:45, 0.68
Thu, 12:15 - 13:45, 0.68
ACHTUNG! Wegen der Corona-Krise finden die Veranstaltungen zunächst elektronisch statt. Siehe https://www8.cs.fau.de/teaching/ss21/kommpar/ für aktuelle Information
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
ACHTUNG!: Wegen der Corona-Krise finden die Veranstaltungen zunächst elektronisch statt. Siehe https://www8.cs.fau.de/teaching/ss21/kommpar/ für aktuelle Information

 

Praktische Semantik von Programmiersprachen [SemProg]

Lecturer:
Tadeusz Litak
Details:
Vorlesung mit Übung, 4 cred.h
Dates:
Mon, 16:15 - 17:45, 01.255-128
Thu, 14:15 - 15:45, 01.255-128
Fields of study:
WPF AI-MA ab 1

 

Software-Anwendungen mit KI [OSS-SAKI-VUE]

Lecturer:
Dirk Riehle
Details:
Vorlesung mit Übung, 2 cred.h, ECTS: 5
Dates:
Wed, 16:15 - 17:45, room tbd
Fields of study:
WPF AI-MA ab 1
Prerequisites / Organisational information:
ALL COURSES WILL BE MANAGED FULLY ONLINE UNTIL WE CAN RETURN TO IN-PERSON TEACHING.

 

Neuartige Rechnerarchitekturen [NeuRa]

Lecturers:
Marc Reichenbach, Philipp Holzinger, Dietmar Fey
Details:
Hauptseminar, 4 cred.h, ECTS: 5, Bitte melden Sie sich hier zur Veranstaltung an: https://www.studon.fau.de/crs3597717_join.html
Dates:
Tue, 12:15 - 13:45, 07.150
Vermutlich über Zoom. Bitte melden Sie sich hier an https://www.studon.fau.de/crs3597717_join.html
Fields of study:
WF AI-MA ab 1

 

Seminar Theoretische Informatik [ThInfSem]

Lecturer:
Stefan Milius
Details:
Oberseminar, 2 cred.h
Dates:
Tue, 14:00 - 16:00, 00.131-128
Fields of study:
WF AI-MA ab 1

 

Seminar Wissensrepräsentation und -verarbeitung [SeminarWuV]

Lecturers:
Michael Kohlhase, Florian Rabe
Details:
Oberseminar, 2 cred.h, ECTS: 5, Das Seminar findet wie geplant statt, nur halt online: Für Details, Themen und Termine siehe http://kwarc.info/courses/swuv/
Dates:
Wed, 14:45 - 16:15, 00.131-128
Fields of study:
WF AI-MA ab 1

 

Big Data Seminar [BDSem]

Lecturers:
Richard Lenz, Dominik Probst, Demian E. Vöhringer
Details:
Seminar, 2 cred.h, ECTS: 5, nur Fachstudium
Dates:
time tbd, Zoom-Meeting
Aktueller Hinweis: Diese Veranstaltung findet dieses Semester online statt. Weitere Informationen finden Sie im zugehörigen StudOn-Kurs. Information regarding online courses is provided via StudOn.
Fields of study:
WF AI-MA ab 1
Keywords:
Big Data; Machine Learning; Predictive Maintenance

 

Multi-Core Architecture and Programming [MAP]

Lecturers:
Frank Hannig, Bo Qiao, Muhammad Sabih, Stefan Groth
Details:
Seminar, 2 cred.h, ECTS: 5
Dates:
Wed, 12:00 - 14:00, 02.133-128
Fields of study:
WF AI-MA ab 1

 

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.
starting 21.4.2021
Fields of study:
WF AI-MA ab 1
WF AI-MA ab 1
Keywords:
Virtual Reality, Extended Reality, Augmented Reality

 

Knowledge Discovery in Databases [KDD]

Lecturers:
Richard Lenz, Luciano Melodia
Details:
Vorlesung, 2 cred.h, nur Fachstudium
Dates:
Tue, 8:15 - 9:45, 00.152-113
Aktueller Hinweis: Diese Veranstaltung findet dieses Semester online statt. Weitere Informationen finden Sie im zugehörigen StudOn-Kurs. Information regarding online courses are provided via StudOn.
Fields of study:
WF AI-MA 1
Prerequisites / Organisational information:
  • Konzeptionelle Modellierung
Keywords:
Data Mining, KDD

 

Virtual Reality in Neuroscience [VRNeuro]

Lecturers:
Daniel Roth, Gastredner, Tutoren
Details:
Vorlesung, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium, Rückfragen, Verständnisfragen, sowie Prüfung können auch auf Deutsch abgelegt werden. --- Questions, comprehension questions, as well as examination can also be taken in German.
Dates:
Thu, 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
Keywords:
Virtual Reality, Neuroscience, Simulation, Human-Computer Interaction

 

Compressive Sensing [CompSense]

Lecturer:
Ali Bereyhi
Details:
Vorlesung mit Übung, 4 cred.h, ECTS: 5, nur Fachstudium
Dates:
Mon, Fri, 10:15 - 11:45, Zoom-Meeting
Fields of study:
WF AI-MA ab 1



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