Lehrstuhl für Maschinelles Lernen und Datenanalytik
Becoming an innovative engineer [InnoEng] -
- Lecturers:
- Björn Eskofier, Marlies Nitschke
- Details:
- Vorlesung, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
- Dates:
- to be determined
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Motion analysis and biomechanical frontiers [BABG] -
- Lecturer:
- Anne Koelewijn
- Details:
- Vorlesung, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
- Dates:
- to be determined
- Fields of study:
- WF MT-BA ab 4
WF MT-MA ab 1
WF MT-MA-BDV ab 1
WF MT-BA-BV ab 4
WF MT-MA-MEL ab 1
WF MT-MA-IDP ab 1
WF MT-BA-GP ab 4
- Prerequisites / Organisational information:
- Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt über: https://www.vhb.org/
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Catching your eyes: AI-driven modeling and analysis of eye-tracking data [ETS] -
- Lecturer:
- Dario Zanca
- Details:
- Seminar, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
- Dates:
- Tue, 12:15 - 13:45, 00.010
Organisation and slides via StudOn.
- Prerequisites / Organisational information:
- Assignment: mailto: dario.zanca@fau.de
The grade is based on a presentation and a report, both counting 50% of the final grade.
- Keywords:
- eye-tracking, human visual attention, biomarkers, artificial intelligence
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Green AI - AI for Sustainability and Sustainability of AI [GREENAI] -
- Lecturers:
- Eva Dorschky, René Raab, Björn Eskofier
- Details:
- Seminar, 2 cred.h, graded certificate, ECTS: 5, für FAU Scientia Gaststudierende zugelassen, There are no more free places in the SS 2022.
- Dates:
- Thu, 10:15 - 11:45, 00.010
single appointment on 21.7.2022, 10:15 - 11:45, 01.151-128
- Fields of study:
- WPF INF-MA ab 1
WF MT-MA ab 1
WPF AI-MA ab 1
WPF INF-BA-SEM ab 5
WPF CE-MA-SEM ab 1
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Human Computer Interaction [HCI] -
- Lecturer:
- Björn Eskofier
- Details:
- Vorlesung, 3 cred.h, ECTS: 3,75
- Dates:
- Tue, Thu, 8:15 - 9:45, H10
Die erste Veranstaltung findet am 28.04 um 08:15 in H10 statt.
- Fields of study:
- WPF INF-MA ab 1
WPF INF-BA ab 5
WF CE-MA ab 1
WF ICT-MA ab 1
WF IuK-BA ab 5
WPF ICT-MA-ES ab 1
WPF ICT-MA-MPS ab 1
WPF ICT-MA-NDC ab 1
WF EEI-MA ab 1
WF EEI-BA ab 5
WPF MT-MA-BDV ab 1
WF MT-MA-GPP ab 1
WF MT-MA-MEL ab 1
WPF MT-BA ab 5
WPF ASC-MA ab 1
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
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Human Computer Interaction Exercises [HCI-E] -
- Lecturer:
- Madeleine Flaucher
- Details:
- Übung, 1 cred.h, ECTS: 1,25
- Dates:
- Tue, 12:15 - 13:45, H3 Egerlandstr.3
- Fields of study:
- WPF INF-MA ab 1
WF INF-BA ab 5
WF CE-MA ab 1
WF ICT-MA ab 1
WF IuK-BA ab 5
WPF ICT-MA-MPS ab 1
WPF ICT-MA-ES ab 1
WPF ICT-MA-NDC ab 1
WF EEI-MA ab 1
WF EEI-BA ab 5
WPF MT-MA-BDV ab 1
WPF MT-BA ab 5
WPF ASC-MA ab 1
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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Innovation lab for wearable and ubiquitous computing [InnoLab] -
- Lecturers:
- Björn Eskofier, Matthias Zürl, Michael Nissen, Marlies Nitschke, Nils Roth, Johannes Link, Mohamad Wehbi, Imrana Abdullahi Yari, Alzhraa Ahmed, Ann-Kristin Seifer, Misha Sadeghi
- Details:
- Praktikum, 4 cred.h, graded certificate, geeignet als Schlüsselqualifikation, für FAU Scientia Gaststudierende zugelassen
- Dates:
- Tue, 16:15 - 17:45, 00.010
Thu, 12:15 - 13:45, 00.010
- Fields of study:
- WF INF-MA ab 1
WF MT-MA ab 1
WF MB-MA ab 1
WF ME-MA ab 1
WF WING-MA ab 1
WF CE-MA ab 1
WF IIS-MA ab 1
WF Ph-MA ab 1
WPF DS-MA ab 1
- Prerequisites / Organisational information:
- Themenvergabe und Terminfindung in der ersten Woche des Semesters. Die Vergabe der Plätze im Kurs erfolgt nach einem Aufnahmeantrag. In diesem sollen Studierende ihren Studiengang, ihr Fachsemester und den angestrebten Abschluss nennen (Bachelor/Master). Sind zu viele Anmeldungen eingegangen und der Kurs ist voll, gibt es eine Warteliste.
Das Praktikum steht Studierenden der genannten Studienrichtungen ab dem 5. Bachelorsemester (und aller Mastersemester) ebenfalls offen. Für weitere Studiengänge und ECTS-Verteilungen bitte unter Matthias.Zuerl@fau.de nachfragen.
Weitere Informationen zu der Lehrveranstaltung können auch unserer Webseite entnommen werden: https://www.mad.tf.fau.de/teaching/innolab/ ,
Anmeldung: https://www.studon.fau.de/crs4362400.html
Die Anmeldung ist möglich ab dem 14.03.2022 bis einschließlich 15.04.2022
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Colloquium in Machine Learning and Data Analytics [KoMAD] -
- Lecturer:
- Björn Eskofier
- Details:
- Kolloquium, 2 cred.h, für FAU Scientia Gaststudierende zugelassen
- Dates:
- Wed, 12:30 - 14:00, 00.010
- Fields of study:
- WPF INF-MA ab 1
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Leading by Learning [LBL] -
- Lecturer:
- Janina Beilner
- Details:
- Vorlesung, 2 cred.h, ECTS: 5, für FAU Scientia Gaststudierende zugelassen
- Dates:
- Fri, 14:15 - 15:45, room tbd
Online via MS Teams
- Fields of study:
- WF MT-MA ab 1
WF MT-BA ab 5
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Legged Locomotion of Robots [LLR] -
- Lecturer:
- Anne Koelewijn
- Details:
- Seminar, 2 cred.h, graded certificate, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
- Dates:
- Tue, 10:15 - 11:45, 00.010
- Fields of study:
- WF EEI-BA ab 6
WF EEI-MA ab 1
WPF INF-MA ab 1
WF MT-MA-BDV ab 1
WF MT-MA-GPP ab 1
WF MT-MA-MEL ab 1
- Keywords:
- Robotics, Humanoids, Legged Locomotion, Walking Robots, Control, Dynamic Walking, Stability, Energetics
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Legged Locomotion of Robots Laborprojekt [LLR-L] -
- Lecturer:
- Anne Koelewijn
- Details:
- Praktikum, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
- Dates:
- to be determined
- Fields of study:
- WF EEI-BA ab 6
WF EEI-MA ab 1
WPF INF-MA ab 1
WF MT-MA-BDV ab 1
WF MT-MA-GPP ab 1
WF MT-MA-MEL ab 1
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Machine Learning for Engineers I: Introduction to Methods and Tools [MLE1] -
- Lecturers:
- Björn Eskofier, Jörg Franke, Nico Hanenkamp
- Details:
- Vorlesung, ECTS: 5
- Dates:
- See VHB for further details (https://kurse.vhb.org/)
- Fields of study:
- WF WING-BA 3-6
WF ME-BA 3-6
WF ME-MA 1-3
WPF ME-BA-MG10 3-6
WF MB-MA 1-3
WF MB-BA 3-6
WPF MB-MA-IP 2
WPF IP-BA 4-6
WPF ME-MA-MG10 1-3
WF WING-MA 1-3
WPF DS-BA 2
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Machine Learning for Engineers II: Advanced Methods [MLE2] -
- Lecturers:
- Björn Eskofier, u.a.
- Details:
- Vorlesung, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen, See VHB for further details (https://kurse.vhb.org/)
- Dates:
- to be determined
- Fields of study:
- WF MB-BA 3-6
WF MB-MA 1-3
WPF MB-MA-IP 2
WF ME-BA 3-6
WF ME-MA 1-3
WF WING-BA 3-6
WF WING-MA 1-3
WPF IP-BA 4-6
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Machine Learning and Data Analytics for Industry 4.0 [MADI40] -
- 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 MT-MA-BDV ab 1
WPF INF-MA ab 1
WPF CE-MA ab 1
WF ASC-MA ab 1
WF ICT-MA ab 1
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
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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, für FAU Scientia Gaststudierende zugelassen
- Dates:
- to be determined
- Fields of study:
- WPF INF-MA ab 1
WPF DS-MA ab 1
WPF MT-MA ab 1
- Prerequisites / Organisational information:
- Master Studium Informatik
- Keywords:
- Master Projekt Project
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Reinforcement Learning [RL] -
- Lecturer:
- Christopher Mutschler
- Details:
- Vorlesung, 2 cred.h, graded certificate, ECTS: 2,5
- Dates:
- Thu, 8:30 - 10:00, Zoom-Meeting
- Fields of study:
- WF ASC-MA ab 1
WF INF-MA ab 1
WF CE-MA-TA-MT ab 1
WF MT-MA ab 1
WF ME-MA ab 1
WPF ME-BA-MG6 4-6
WPF ME-MA-MG6 1-3
WF CME-MA ab 1
WF ICT-MA ab 1
WPF DS-MA-AI ab 1
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Reinforcement Learning Exercise [RL-UE] -
- Lecturer:
- Christopher Mutschler
- Details:
- Übung, 2 cred.h, ECTS: 2,5, für FAU Scientia Gaststudierende zugelassen
- Dates:
- Thu, 8:30 - 10:00, Zoom-Meeting
- Fields of study:
- WF ASC-MA ab 1
WF CE-MA-TA-MT ab 1
WF MT-MA ab 1
WF INF-MA ab 1
WF ME-MA ab 1
WPF ME-BA-MG6 4-6
WPF ME-MA-MG6 1-3
WF CME-MA ab 1
WF ICT-MA ab 1
WPF DS-MA ab 1
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