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