Lehrveranstaltungsverzeichnis Masterstudiengang Artificial Intelligence (AI)
Seminar "Visual Computing" [GraHS] -
- Lecturers:
- Tobias Günther, Tim Weyrich
- Details:
- Masterseminar, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium
- Dates:
- Mon, 10:15 - 11:45, 01.151-128
- Fields of study:
- WPF AI-MA ab 1
- Prerequisites / Organisational information:
- Für dieses Seminar besteht Anwesenheitspflicht, wobei maximal drei Fehlstunden erlaubt sind. Bei medizinischen Gründen oder anderen besonderen Vorkommnissen werden Ausnahmen gemacht, sofern diese vor dem Termin vereinbart worden sind.
- Keywords:
- Computer Graphics, Visual Computing, Rendering
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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
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Master-Projekt Datenmanagement [MastProj] -
- 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
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Project Biomedical Network Science -
- Lecturers:
- David B. Blumenthal, und Mitarbeiter/innen
- Details:
- Projektseminar, 4 cred.h, ECTS: 10
- Dates:
- Kick-off meeting at the beginning of the semester. After that, weekly or bi-weekly individual meetings with the participants. Registration via StudOn until October 11, 2021: https://www.studon.fau.de/crs3922964_join.html
Preliminary meeting: Wednesday, 13.10.2021, 10:00 - 14:00 Uhr, 01.151-128
- Fields of study:
- WPF AI-MA ab 1
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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
Online only seminar, please register via StudOn to have access to the Zoom link
starting 28.10.2021
- Fields of study:
- WPF AI-MA ab 1
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Maschinelles Lernen und Datenanalytik für Industrie 4.0 [MADI40] -
- Lecturers:
- Björn Eskofier, An Nguyen, Johannes Roider, Christoph Scholl
- Details:
- Seminar, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium, Registration via mail to johannes.roider@fau.de
- Dates:
- Wed, 16:15 - 18:00, 00.010
Starts October 20th 2021
- Fields of study:
- WPF AI-MA ab 1
- Prerequisites / Organisational information:
- Prerequisites
Registration via e-mail to johannes.roider@fau.de Registration period: 16.08. - 19.10.2021
The seminar is planned to be held in person, given that the Bavarian state government allows face-to-face teaching at the time when the course starts. 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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Network Medicine -
- Lecturers:
- David B. Blumenthal, und Mitarbeiter/innen
- Details:
- Seminar, 2 cred.h, ECTS: 5
- Dates:
- Wed, 12:00 - 14:00, 01.151-128
Registration via StudOn until October 15, 2021: https://www.studon.fau.de/crs3922950_join.html
- Fields of study:
- WPF AI-MA ab 1
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Seminar Humans in the Loop: The Design of Interactive AI Systems [SemHitL] -
- 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
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Computational Imaging Project [Computational Imaging Project] -
- Lecturers:
- Florian Knoll, Bruno Riemenschneider, Zhengguo Tan
- Details:
- Sonstige Lehrveranstaltung, 8 cred.h, ECTS: 10, nur Fachstudium
- Dates:
- to be determined
- Fields of study:
- WPF AI-MA 1
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Project Representation Learning [PRL] -
- Lecturer:
- Bernhard Kainz
- Details:
- Sonstige Lehrveranstaltung, 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
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Project Machine Learning and Data Analytics [ProjMAD] -
- Lecturers:
- Björn Eskofier, Dario Zanca, An Nguyen
- Details:
- Sonstige Lehrveranstaltung, graded certificate, ECTS: 10
- 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 (WS 21/22 - 21.10.2021)
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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Biomedizinische Signalanalyse [BioSig] -
- Lecturer:
- Björn Eskofier
- Details:
- Vorlesung, 2 cred.h, ECTS: 2,5
- Dates:
- Wed, 8:15 - 9:45, H10
Online
- Fields of study:
- WPF AI-MA ab 1
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Biomedizinische Signalanalyse Übung [BioSig-UE] -
- Lecturer:
- Björn Eskofier
- Details:
- Übung, 2 cred.h, ECTS: 2,5
- Fields of study:
- WPF AI-MA ab 1
| | Thu | 8:15 - 9:45 | EL 4.14 | |
Eskofier, B. |
Online |
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:
- Mon, 16:15 - 17:45, H14
Tue, 16:15 - 17:45, H4
- 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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Lecture Machine Learning for Time Series [MLTS] -
- Lecturers:
- Björn Eskofier, Oliver Amft, Dario Zanca, Luis Ignacio Lopera Gonzalez
- Details:
- Vorlesung, 2 cred.h, graded certificate, ECTS: 2,5
- Dates:
- Tue, 12:15 - 13:45, 05.025
- Fields of study:
- WPF AI-MA ab 1
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Lab project Machine Learning for Time Series [MLTS-L] -
- 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
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Maschinelles Lernen für Zeitreihen Übung [MLTS-UE] -
- Lecturers:
- Leo Schwinn, Philipp Schlieper
- Details:
- Übung, 2 cred.h, ECTS: 2,5
- Dates:
- Thu, 16:15 - 17:45, CIP-Pool MB Konrad-Zuse-Str. 3
Please organise a login for the CIP-Maschinenbau to participate in this exercise: http://www.cip.mb.uni-erlangen.de/main.phtml?standort=pgs&sub=pgs&page=inside
- Fields of study:
- WPF AI-MA ab 1
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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
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Advanced Mechanized Reasoning in Coq [AMeRiCo] -
- Lecturer:
- Tadeusz Litak
- Details:
- Vorlesung mit Übung, 4 cred.h, ECTS: 7,5, geeignet als Schlüsselqualifikation
- Dates:
- Tue, Wed, 18:15 - 19:45, 01.151-128
- Fields of study:
- WPF AI-MA ab 1
- Keywords:
- Coq Proof Assistants Mechanized Reasoning
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Algorithmic Bioinformatics -
- Lecturers:
- David B. Blumenthal, und Mitarbeiter/innen
- Details:
- Vorlesung mit Übung, 4 cred.h, graded certificate, ECTS: 5
- Dates:
- Wed, 14:00 - 16:00, H15
Fri, 12:00 - 14:00, H16
Lecture: Wednesday, 14:00 – 16:00, Exercise: Friday: 12:00 – 14:00
- Fields of study:
- WPF AI-MA ab 1
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Inertial Sensor Fusion [ISF] -
- Lecturers:
- Thomas Seel, Simon Bachhuber
- Details:
- Vorlesung mit Übung, 4 cred.h, ECTS: 5
- Dates:
- Tue, 14:15 - 15:45, H10
Wed, 12:15 - 13:45, H10
single appointment on 11.2.2022, 10:00 - 12:00, H5, 01.030
- Fields of study:
- WPF AI-MA ab 1
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Logik-Basierte Sprachverarbeitung [LBS] -
- Lecturers:
- Michael Kohlhase, Florian Rabe
- Details:
- Vorlesung mit Übung, 4 cred.h, ECTS: 5, nur Fachstudium, je nachdem was die Studierenden besser verstehen.
- Dates:
- Wed, 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
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Ontologien im Semantic Web [OntoSWeb] -
- Lecturer:
- Lutz Schröder
- Details:
- Vorlesung mit Übung, 4 cred.h, ECTS: 7,5, Die Unterrichtssprache wird im Einvernehmen mit den Teilnehmern bestimmt / The course language will be agreed upon with the participants
- Dates:
- Mon, 16:15 - 17:45, 01.255-128
Tue, 12:15 - 13:45, 01.255-128
- Fields of study:
- WPF AI-MA ab 1
- Keywords:
- Ontologien Ontologies Semantic Web Beschreibungslogik description logic knowledge representation reasoning
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Deep Learning in Multimedia Forensics [DLMFor] -
- Lecturer:
- Christian Riess
- Details:
- Praktikum, ECTS: 10
- Dates:
- Preliminary meeting: Thursday, 28.10.2021, 16:00 - 18:00 Uhr
- Fields of study:
- WF AI-MA ab 1
- Prerequisites / Organisational information:
- Participants must bring some practical experience in python.
Experience with the implementation of deep neural networks helps, but is not strictly necessary.
| | Tue | 12:00 - 14:00 | 00.156-113 CIP | |
Riess, Ch. Lorch, B. |
First meeting: October 28, 16:00h in room 12.155 (Martensstr. 3, 12th floor) |
Big Data Seminar [BDSem] -
- 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
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