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

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 [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

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

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

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

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

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

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

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

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

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

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

	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

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

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

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

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

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

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

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

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

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

	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