BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IT Center Events - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IT Center Events
X-ORIGINAL-URL:https://blog.rwth-aachen.de/itc-events/en
X-WR-CALDESC:Events for IT Center Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221019T090000
DTEND;TZID=Europe/Berlin:20221020T130000
DTSTAMP:20260425T195342
CREATED:20220919T103343Z
LAST-MODIFIED:20220919T115935Z
UID:6108-1666170000-1666270800@blog.rwth-aachen.de
SUMMARY:Training: Introduction to Machine Learning & Deep Learning
DESCRIPTION:Name: Training: Introduction to Machine Learning & Deep Learning \nEvent type: Workshop \nDate: October 19 to 20\, 2022\n \nTime: 9am – 1pm (2×4 Hours\, 3 hours of presentation\, 4 hours of hands-on live exercises\, and a discussion) \nFormat: Online\n \nTarget Audience: ML/DL beginners\, Scientists who want to apply ML methods\n \nCapacity: Unlimited \nRequirements (required knowledge/experience): Laptop and a working internet connection \nContact Person: Zahra Sadeghibogar and Jonas Seng \n*More information* \n \n\n  \nDesciption  \nNot only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a datadriven way\, but also the scientific community has many use-cases in which ML/DL are useful\, e.g. to discover hidden patterns or replace computationally heavy simulations with data-driven approaches. \nThis workshop will introduce the basics of ML and DL in a theoretical and practical way with the State of Art technologies. The participants will learn how to design ML-models by themselves and will learn about possible pitfalls when applying ML in the real world. \n\n  \nAgenda  \nDay 1 – October 19\, 2022 \n9:00 – 9:15\nWelcome \n9:15 – 9:35\nSetup \n9:35 – 10:00\nData Preparation (Presentation) \n10:00 – 10:30\nData Preparation (Hands On) \n10:30 – 10:45\nBreak \n10:45 – 11:15\nRandom Forests (Presentation) \n11:15 – 11:45\nRandom Forests (Hands On) \n11:45 – 12:15\nGeneralized Linear Models (Presentation) \n12:15 – 12:45\nGeneralized Linear Models (Hands On) \n12:45 – 13:00\nWrap Up \n\nDay 2 – October 20\, 2022  \n9:00 – 9:15\nWelcome \n9:15 – 9:45\nNeural Networks (Presentation) \n9:45 – 10:15\nNeural Networks (Hands On) \n10:15 – 10:45\nHyperparameter Tuning (Presentation) \n10:45 – 11:15\nHyperparameter Tuning (Hands On) \n11:15 – 11:30\nBreak \n11:30 – 12:00\nPitfalls of Neural Networks (Presentation) \n12:00 – 12:10\nWrap Up \n12:10 – 13:00\nDiscussion & Feedback
URL:https://blog.rwth-aachen.de/itc-events/en/event/training-introduction-to-machine-learning-deep-learning/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221019T130000
DTEND;TZID=Europe/Berlin:20221019T143000
DTSTAMP:20260425T195342
CREATED:20220926T111755Z
LAST-MODIFIED:20240405T123909Z
UID:6134-1666184400-1666189800@blog.rwth-aachen.de
SUMMARY:[:en]Introduction to interactive HPC with JupyterHub at RWTH Aachen University[:]
DESCRIPTION:Abstract\nThe HPC JupyterHub service at the RWTH Aachen Univerity allows all eligible users of the RWTH Compute Cluster to utilize the existing compute hardware interactively with the use of Jupyter Notebooks. This HPC JupyterHub provides customization of profiles with a variety of programming kernels\, software packages\, and hardware definitions. This workshop will introduce the HPC JupyterHub service and offer an interactive demo. There will also be a discussion section to explore new use cases. \nNote that the contents of this second training will be identical to the one already held this September. \nAgenda\n\nIntroduction to JupyterHub @ RWTH (20 minutes)\nInteractive Demo (40 minutes)\nQ & A Session  (30 minutes)\n\nFormat\nOnline via Zooom. \nTarget Audience\nHPC\, Simulation Software and Machine Learning users. \nRequirements\nHPC and VPN account at the RWTH for the interactive demo. \nCapacity\nUnlimited for the presentation\, and 96 for the interactive demo. \nContact Person\nAlvaro Frank a.frank@itc.rwth-aachen.de \nRegistration\nRWTH Single Sign-On (SSO) \nRegistration for RWTH externals \nRegistration closing date: October 17th\, 2022
URL:https://blog.rwth-aachen.de/itc-events/en/event/introduction-to-interactive-hpc-with-jupyterhub-at-rwth-aachen-university/
LOCATION:Online\, Deutschland
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
END:VEVENT
END:VCALENDAR