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
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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
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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
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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
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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 - 15:45 | n.V. | |
Riehle, D. |
| | 14:15 - 15:45 | n.V. | |
Riehle, D. |
| Wed | 12:30 - 14:00 | n.V. | |
Riehle, D. |
| Wed | 12:30 - 14:00 | n.V. | |
Riehle, D. |
| Wed | 12:30 - 14:00 | n.V. | |
Riehle, D. |
| Wed | 12:30 - 14:00 | n.V. | |
Riehle, D. |
| Wed | 12:30 - 14:00 | n.V. | |
Riehle, D. |
| Wed | 12:30 - 14:00 | n.V. | |
Riehle, D. |
| Wed | 18:15 - 19:45 | n.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
| | Mon | 12:15 - 13:45 | 02.133-113 | |
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
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Übungen zu Artificial Intelligence II [UeAI II] -
- Lecturer:
- Florian Rabe
- Details:
- Übung, 2 cred.h
- Fields of study:
- WPF AI-MA ab 1
| | Tue | 10:15 - 11:45 | Übung 3 / 01.252-128 | |
Rapp, M.G. |
| Wed | 12:15 - 13:45 | 01.151-128 | |
Schäfer, J.F. Rabe, F. |
| Wed | 16:15 - 17:45 | 01.021 | |
Schäfer, J.F. Rabe, F. |
| Thu | 10:15 - 11:45 | Übung 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
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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
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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
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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:
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
| | Mon | 12:00 - 14:00 | 0.01-142 CIP | |
Thamm, F. |
| Tue | 18:00 - 20:00 | 0.01-142 CIP | |
Thamm, F. |
| Wed | 16:00 - 18:00 | 0.01-142 CIP | |
Thamm, F. |
| Thu | 14:00 - 16:00 | 0.01-142 CIP | |
Thamm, F. |
| Fri | 8:00 - 10:00 | 0.01-142 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
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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
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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
| | Wed | 8:15 - 9:45 | 01.255-128 | |
Witterauf, M. |
| Thu | 8:00 - 9:30 | 02.133-128 | |
Hannig, F. |
| Thu | 8:15 - 9:45 | 01.255-128 | |
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
| | Tue | 14:00 - 15:00 | 02.151-113 a CIP, 02.151-113 b CIP | |
N.N. |
| Tue | 15:00 - 16:00 | 02.151-113 a CIP, 02.151-113 b CIP | |
N.N. |
| Thu | 14:15 - 15:45 | Übung 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
| | Tue | 10:15 - 11:45 | Übung 4 / 01.253-128 | |
Kergaßner, M. |
| Wed | 10:15 - 11:45 | 00.151-113 | |
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 (http://waffel.informatik.uni-erlangen.de/signup/?univisid=20545691) .
|
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
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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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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