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Machine Learning and Data Analytics Lab

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Classes and materials from past semesters
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Campo Courses: Summer Term 2023

Diese Kurse wurden automatisch erstellt. Sie können an geeignete Stellen verschoben werden.
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Campo Courses: Summer Term 2024

Diese Kurse wurden automatisch erstellt. Sie können an geeignete Stellen verschoben werden.
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Campo Courses: Summer Term 2025

Diese Kurse wurden automatisch erstellt. Sie können an geeignete Stellen verschoben werden.
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Campo Courses: Winter 2022/23

Diese Kurse wurden automatisch erstellt. Sie können an geeignete Stellen verschoben werden.
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Campo Courses: Winter 2023/24

Diese Kurse wurden automatisch erstellt. Sie können an geeignete Stellen verschoben werden.
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Campo Courses: Winter 2024/25

Diese Kurse wurden automatisch erstellt. Sie können an geeignete Stellen verschoben werden.
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Courses planned

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Studies

Courses

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Becoming an innovative engineer (InnoEng) - WS 2022/23

For the SS 2023, please join this course: https://www.studon.fau.de/crs4941805.html
Winter 2022/23: | | » campo  
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Catching your eyes: AI-driven modeling and analysis of eye-tracking data [ETS]

SEM; 2 SWS; ECTS: 2,5; Dr. Dario Zanca
Registration Period: No Registration Possible  
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Green AI - AI for Sustainability and Sustainability of AI [GREENAI]

SEM; 2 SWS; ben. Schein; ECTS: 5; Eva Dorschky M. Sc., René Raab M. Sc., Prof. Dr. Björn Eskofier < br />Do, 10:15-11:45 , 00.010
Period of Event: 25. Apr 2022 - 29. Jul 2022  
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Course

Human Computer Interaction [HCI Summer 2024]

Lecture: 3 semester hours; Exercise: 1 semester hour ECTS: 3,75 Lecture + 1,25 Exercise Please note, that due to high registration numbers in this course, we will have to limit the access. Discussion Sessions Lecture: Tue, 12:15-13:45; H20 Discuss…
Status: Offline  
Maximum participants:300   Free Places: 244   Subscribers/Waiting list: 49  
Period of Event: 17. Apr 2023 - 10. Aug 2023  
Availability: 10. Mar 2024, 08:00 - 1. Jun 2025, 10:00  
Mo 12:15 - 13:45 | Tu 12:15 - 13:45  
Björn Eskofier | Ann-Kristin Seifer | Syrine Slim | Madeleine Flaucher  
Summer 2024: | | » campo  
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InnoLab Room Booking Tool (AIBE MakerSpace)

Booking tool to book and use tools in the Innovation lab (Werner-von-Siemens-Str. 61, room 2.43). Please contact mad-innolab-makespace@fau.de if you want to access this booking tool. Please provide info regarding your name, supervisor (if applicable) and …
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Innovation Lab for Wearable and Ubiquitous Computing SS 24 - APPLICATION COURSE

To participate in the Innovation lab, you must first fill out the application form provided in this StudOn course. Application will be possible between the 13th of March 2024 from 12pm until April the 3rd at 8pm. Participants are selected based on their ap…
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Course

Innovation Lab for Wearable and Ubiquitous Computing WS 24/25 - APPLICATION COURSE

To participate in the Innovation lab, you must first fill out the application form provided in this StudOn course. Application will be possible between the 23rd of September 2024 from 2pm until October the 4th at 8pm. Participants are selected based on the…
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Innovation Lab for Wearable and Ubiquitous Computing WS22/23

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Leading by Learning SS2022

Status: Offline  
Maximum participants:15   Free Places: 0   Subscribers/Waiting list: 16  
Period of Event: 1. Apr 2022 - 30. Sep 2022  
Availability: 24. Mar 2022, 19:25 - 30. Sep 2022, 19:25  
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Machine Learning and Data Analytics for Industry 4.0 (MADI40) Seminar [SS 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. Meetings take place virtually on Wednesdays 16:15 - 18:00 Please join https://fau.…
Status: Offline  
Registration Period: No Registration Possible  
Period of Event: 26. Mar 2021 - 31. Aug 2021  
Availability: 26. Mar 2021, 12:50 - 24. Sep 2021, 13:50  
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Machine Learning and Data Analytics for Industry 4.0 (MADI40) Seminar [SS 2022]

Companies in all kinds of industries are producing and collecting rapidly more and more data from various sources. This is enabled by technologies such as the Internet of Things (IoT), Cyber-physical system (CPS) and cloud computing. Hence there is an incr…
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Machine Learning for Engineers I (Kurs-Demo)

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Machine Learning for Engineers I [SS22]

This is an introductory course for machine learning methods. Note that registration is only possible on VHB (https://kurse.vhb.org/VHBPORTAL/kursprogramm/kursprogramm.jsp?kDetail=true&COURSEID=14599,75,1399,1)
Status: Offline  
Period of Event: 25. Apr 2022 - 29. Jul 2022  
Availability: 1. Apr 2022, 00:00 - 1. Oct 2022, 00:00  
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Machine Learning for Engineers II (Kurs-Demo)

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Machine Learning for Engineers II [SS22]

This is an advanced course for machine learning methods. Note that registration is only possible on VHB (https://kurse.vhb.org/VHBPORTAL/kursprogramm/kursprogramm.jsp?kDetail=true&COURSEID=14600,75,1424,1)
Status: Offline  
Period of Event: 25. Apr 2022 - 29. Jul 2022  
Availability: 1. Apr 2022, 00:00 - 1. Oct 2022, 00:00  
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Course

Machine Learning for Time Series [MLTS - WS 2022/23]

Lectures and exercises (4 SWS / 5 ECTS); Lectures: Tue, 8:15 AM - 9:45 AM, (Online); Exercises: Wed, 10:15 AM - 11:45 AM, (Online)
Maximum participants:1000   Free Places: 282   Subscribers/Waiting list: 46  
Period of Event: 18. Oct 2022, 00:00 - 7. Feb 2023, 00:00  
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MaD Kolloquium

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Project Machine Learning and Data Analytics (ProjMAD) [WS 22/23]

There will be an intro session on Thursday, October 20th, 16:15-18:00 via zoom. https://fau.zoom.us/j/94842556155?pwd=R1gwT0tYY3lxVGtiUHhjK0hDR05yQT09 Meeting ID: 948 4255 6155 Passcode: 059407
Period of Event: 1. Oct 2022, 00:00 - 31. Mar 2023, 00:00  
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Course

Reinforcement Learning (RL) [SS 2024]

Access only after verification! For registration, please state your motivation for attending the course in no more than 500 characters. Which relevant previous courses have you already attended (Analysis/Calculus, Deep Learning, Optimization, Statistics, P…
Period of Event: 17. Apr 2024 - 17. Jul 2024  
We 08:15 - 09:45 | Tu 10:15 - 11:45  
Christopher Mutschler  
Summer 2024: | | » campo  
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