IT Center Events

Schulung zum SAM-Tool Mai 2023
2023-05-09 13:00 - 14:30 (Europe/Berlin) | Microsoft Teams
This entry is only available in Deutsch. Name: Schulung zum SAM-Tool

Veranstaltungsart: Schulung

Datum: 9. Mai 2023

Uhrzeit: 13:00 bis 14:30 Uhr
Ort: Microsoft Teams

Zielgruppe: IT Besteller*innen und Interessierte

Beschreibung
In der Schulung werden die Grundlagen des SAM-Tools vorgestellt, um den Nutzenden einen guten Einstieg zu ermöglichen. Die Schulung richtet sich an alle Interessierten des SAM-Tools sowie Bestandskund*innen, welche seit diesem Jahr das Tool nutzen.
Alternativer Termin: 17. Mai 2023 von 10:00 bis 11:30 Uhr

Agenda
1. Grundlagen
– Aufgaben IT Center vs. Aufgaben Einrichtung
– A-Modell USU
2. Software
– Rohdaten
– Normalisiertes Inventar
– Bedarf
3. Lizenzverwaltung
– Übersicht der Lizenzen
– Aktive Lizenzen
– Wartungslizenzen verknüpfen
– Netzwerklizenzen (Geräte Beschreibung)
– Windows OEM
– Campusteilhabe
– Compliance generieren
– Kostenstellen filtern
5. Verwaltung GUI
– Spalten ein-/ausblenden
– Ansichten speichern und abrufen
– Dashboard erstellen
6. Zeit für Fragen

[:en]Parallel Computing with MATLAB 2[:]
2023-05-09 14:00 - 17:00 | Online, Deutschland
Using MATLAB on the RWTH IT Center HPC-Cluster
Live Session: Tuesday May 9th, 2 PM – 5 PM (3 hours)
Instructor: Raymond Norris, The MathWorks Application Engineering (Parallel Computing)
With MATLAB and the MATLAB Parallel Server, researchers can use the familiar MATLAB environment to run computationally intensive MATLAB programs efficiently on computer clusters. This hands-on tutorial will introduce participants who are familiar with MATLAB to the MATLAB parallel language and MATLAB Parallel Server needed to scale their MATLAB applications to HPC clusters. The focus will be on writing robust parallel code as well as running batch jobs on the RWTH IT Center HPC cluster.
If you are new to parallel computing with MATLAB you should attend part 1 of this workshop (May 2nd) as a prerequisite.
A desktop installation of MATLAB on your computer, including the Parallel Computing Toolbox, is necessary for this workshop.

Who is this for?
The training is for students, junior scientists and researchers who want to use MATLAB on the HPC Cluster of the RWTH IT Center. Working knowledge of MATLAB in general and the parallel language constructs MATLAB offers are recommended for this workshop.

Registration
Please register until May 7th.

Contact
Raymond Norris <rayn@mathworks.com>

[:en]Introduction to Research Software Development with MATLAB[:]
2023-05-16 14:00 - 17:00 | Online, Deutschland
Introduction to Research Software Development with MATLAB
Live Session: Thursday May 16th, 2 PM – 5 PM (3 hours)
Instructor: Dr. Thomas Künzel, The MathWorks Academia Team
As a (junior-) scientist you wear many hats. Among many other things you often must be a bit of a software developer to tackle the analytical problems that come up during your projects. In this course we will present concepts and tools for your contribution to collaborative development of research software. We will give you a hands-on introduction to good development practices, writing clean code and using source-code control with MATLAB. This workshop will give you a running start when it comes to writing maintainable research software.

Topics

Best practices for collaborative research software development
Hands-on exercises on data analysis: from low-code tools to writing clean code
Using the git-integration for source control in MATLAB
How to share your MATLAB code with collaborators

Who is this for?
This introductory is course is designed for students, researchers and early career scientists with beginner to intermediate programming experience.

Registration

Please register until May 14th.

Contact
Dr. Thomas Künzel <tkuenzel@mathworks.com>

Schulung zum SAM-Tool Mai 2023 [2]
2023-05-17 10:00 - 11:30 | Microsoft Teams
This entry is only available in Deutsch. Name: Schulung zum SAM-Tool

Veranstaltungsart: Schulung

Datum: 17. Mai 2023

Uhrzeit: 10:00 bis 11:30 Uhr
Ort: Microsoft Teams

Zielgruppe: IT Besteller*innen und Interessierte

Beschreibung
In der Schulung werden die Grundlagen des SAM-Tools vorgestellt, um den Nutzenden einen guten Einstieg zu ermöglichen. Die Schulung richtet sich an alle Interessierten des SAM-Tools sowie Bestandskund*innen, welche seit diesem Jahr das Tool nutzen.
Alternativer Termin: 9. Mai 2023 von 13:00 bis 14:30 Uhr

Agenda
1. Grundlagen
– Aufgaben IT Center vs. Aufgaben Einrichtung
– A-Modell USU
2. Software
– Rohdaten
– Normalisiertes Inventar
– Bedarf
3. Lizenzverwaltung
– Übersicht der Lizenzen
– Aktive Lizenzen
– Wartungslizenzen verknüpfen
– Netzwerklizenzen (Geräte Beschreibung)
– Windows OEM
– Campusteilhabe
– Compliance generieren
– Kostenstellen filtern
5. Verwaltung GUI
– Spalten ein-/ausblenden
– Ansichten speichern und abrufen
– Dashboard erstellen
6. Zeit für Fragen

[:en]Low-Code AI with MATLAB[:]
2023-05-25 14:00 - 16:00 | Online, Deutschland
Building AI workflows interactively.
Live Session: Thursday May 25th, 2 PM – 4 PM (2 hours)
Instructor: Dr. Kathi Kugler, The MathWorks Academia Team
In this training you will learn how you can apply AI in your field without extensive knowledge in programming. This hands-on session includes a quick recap on the fundamentals of AI and three exercises where you will learn how to classify human activities such as walking, sitting and lying down, using MATLAB®, interactive tools and apps:

Accessing and preprocessing data acquired from a mobile device.
Applying clustering to the unlabeled data using the Cluster Data Live Editor Task
Classifying the labeled data using two apps: Classification Learner app and the Deep Network Designer app

At the end of the workshop, you will be able to design and train different machine learning and deep learning models without extensive programming knowledge. You will also learn how to automatically generate code from the interactive workflow. This will not only help you to reuse the models without manually going through all the steps but also to learn programming or advance your coding skills.
To participate in this workshop, you will need a MathWorks® account.

Who is this for?
The training is for students and researchers who want to get started with Artificial Intelligence in MATLAB and leverage interactive workflows. This training will enable you to solve simple classification and regression problems in MATLAB.

Registration
Please register until May 23rd.

Contact
Dr. Kathi Kugler <kkugler@mathworks.com>

[:en]Machine Learning Consultancy Hour #3[:]
2023-05-25 16:00 - 17:00 | Online, Deutschland
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the environment in which they can be deployed.
To support researchers from fields other than ML, the CSG Data Science provides regular Consultancy Hours where researchers can pitch their specific ML-related problems to us.
Based on the pitch our team will support the presenters afterwards in a consultative manner.
In order to join the Zoom meeting, you can use the following link:
https://tu-darmstadt.zoom.us/j/68557734988?pwd=[REDACTED]

[:en]Deep Learning with Images in MATLAB[:]
2023-06-06 14:00 - 15:30 | Online, Deutschland
Flipped Classroom: Online Training & Live Session
Online Training: Self-paced, approximately 2 hours
Live Session: Tuesday June 6th, 2 PM – 3:30 PM (90 minutes)
Instructor: Dr. Franziska Albers, The MathWorks Academia Team

In this training you will learn how to apply deep learning in MATLAB using image classification as an example.
We will use a flipped classroom style: you will work through the online course “Deep Learning Onramp” on your own and afterwards we will meet for a live session.
The online course covers:

Basic idea of deep learning
Basics of convolutional neural networks
How to make predictions with pretrained networks
How to manage collections of image data
How to perform transfer learning to fine-tune a pretrained network with your own data

In our live session we will:

Discuss your questions
Discuss how to build a convolutional neural network from scratch
Use a convolutional neural network for regression
Discuss how you can learn more – so you can tackle your own deep learning projects in MATLAB

Prerequisites
You will need a MathWorks account and some basic MATLAB skills to join this training. You are expected to complete the Deep Learning Onramp before joining the live session. The onramp takes approximately two hours to complete.
Who is this for?
The training is for students and researchers who want to get started with deep learning in MATLAB. This training will enable you to solve simple classification and regression problems in MATLAB.
Registration
Please register until June 4th.

Contact
Dr. Franziska Albers <falbers@mathworks.com>

[:en]HPC Consultation Hour #20[:]
2023-06-15 14:00 - 15:00 | Online, Deutschland
We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here, we give you the opportunity to ask any HPC related question, e.g. about:

Cluster usage
Parallel Programming
Performance analysis and optimization of self-written codes
Workflow optimization (e.g. job management and data processing)
Efficient usage of systems and software
Software installation and usage
Application for compute time on larger systems (tier 2 and 1)

We will not prepare any slides since this a pure Q&A session.
In order to join the Zoom meeting, you can use the following link:
https://rwth.zoom.us/j/91453505636
Meeting-ID: 914 5350 5636
Kenncode: [REDACTED]

[:de]Landesweiter MFA Workshop [:]
2023-06-20 10:00 - 12:00 | Online, Deutschland
This entry is only available in Deutsch. Name: Landesweiter MFA Workshop

Veranstaltungsart: Workshop

Datum: 20.06.2023

Uhrzeit: 10:00 – 12:00 Uhr
Ort: Virtuell

Zielgruppe: Interessierte Mitarbeitende der Hochschulen in NRW
Zur Anmeldung

Beschreibung
Wir berichten über das Thema Mehr-Faktor-Authentifizierung an Hochschulen und legen dabei Wert auf die organisatorischen Aspekte.
Interessierte Personen können sich über die Projektwebseite von IDM.nrw anmelden.

[:en]Machine Learning Consultancy Hour #4[:]
2023-06-29 16:00 - 17:00 | Online, Deutschland

RWTHjupyter Community Treffen Juli 2023
2023-07-06 15:00 - 16:00 | Zoom
This entry is only available in Deutsch. Name: RWTHjupyter Community Treffen

Veranstaltungsart: Informationsveranstaltung

Datum: 06. Juli 2023

Uhrzeit: 15:00 – 16:00 Uhr
Ort:
Zoom
https://rwth.zoom.us/j/62491910328?pwd=[REDACTED]
Meeting-ID: 624 9191 0328
Kenncode: [REDACTED]
Zielgruppe: RWTHjupyter Nutzende und Interessierte

Kosten: Kostenfrei
Anmeldung: nicht erforderlich

Beschreibung
Seit Sommer 2021 finden regelmäßig RWTHjupyter Community Treffen statt mit dem Zweck des Austauschs zwischen Nutzer/innen, Entwickler/innen und Betreiber/innen dieser interaktiven Rechenplattform. Versprochener Vorteil der Community ist, gemeinsam im Zusammenspiel der Interessen den Service voranzutreiben und den Austausch zwischen den beteiligten Personen zu organisieren.

In diesem nächsten Community Treffen sollen die aktuellen Entwicklungen rund um RWTHjupyter vorgestellt werden.
Alle Interessierte und alle Nutzende des Services sind herzlich zu diesem Treffen eingeladen.

Agenda
15:00 bis 16:00 Uhr
Agenda:

Infos zu aktuellen Entwicklungen
Vorstellung geplantes NRW-weites JupyterHub Angebot (Uni Münster)

Veranstaltungsunterlagen

Hier finden Sie die Dokumente für die Veranstaltung:
Folien der Veranstaltung
JupyterHub.NRW

[:en]Introduction to interactive HPC with JupyterHub at the RWTH[:]
2023-07-12 13:00 - 14:30 | Online, Deutschland
Abstract
The HPC JupyterHub service at the RWTH 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 showcase the HPC JupyterHub service.
Target Audience
HPC, Simulation Software and Machine Learning users.
Requirements
HPC and VPN account at the RWTH for the interactive demo.
Registration
Registration

[:en]HPC Consultation Hour #21[:]
2023-07-20 14:00 - 15:00 | Online, Deutschland

[:en]Machine Learning Consultancy Hour #5[:]
2023-07-27 16:00 - 17:00 | Online, Deutschland

[:en]HPC Consultation Hour #22[:]
2023-08-17 14:00 - 15:00 | Online, Deutschland

[:en]Machine Learning Consultancy Hour #6[:]
2023-08-31 16:00 - 17:00 | Online, Deutschland

[:de]MATSE-Ersti-Veranstaltung 2023[:]
2023-09-04 - 2023-09-06 | IT Center, Kopernikusstraße 6, Aachen, NRW, 52074, Deutschland
This entry is only available in Deutsch. Name: MATSE-Ersti-Veranstaltung 2023

Veranstaltungsart: intern

Datum: 04. und 06. September 2023

Uhrzeit: ganztägig
Ort: IT Center

Zielgruppe: neue MATSE-Auszubildende sowie ältere MATSE-Jahrgänge

Beschreibung
Am 04. September 2023 werden die neuen MATSE-Auszubildenden am IT Center offiziell begrüßt. Nach der Begrüßung und Einführung in die MATSE-Ausbildung, findet die MATSE-Rallye statt, um nicht nur die Wege und Räume im IT Center kennenzulernen, sondern auch um die ersten Kontakte untereinander zu knüpfen, während man gemeinsam Aufgaben und Rätseln lösen kann.
Mit der Einführung in die MATSE Dienste und der Vorstellung der Möglichkeiten und Bedienung des Organisationstools für die MATSE Ausbildung geht die Veranstaltung am 06. September 2023 weiter. Nach der Siegerehrung der Gewinner*innen der MATSE-Rallye, werden gemeinsam mit den neuen Auszubildenden, den älteren MATSE-Jahrgängen, den Ausbilder*innen, der MATSE-Ausbildungsverwaltung und dem Organisationsteam bei einem Grillevent in entspannter Atmosphäre gefeiert.
Der ausführliche Nachbericht kann anschließend im IT Center Blog nachgelesen werden.

[:de]RWTH Adminrunde September 2023[:]
2023-09-20 10:00 - 12:00 | Microsoft Teams
This entry is only available in Deutsch. Name: RWTH Adminrunde September 2023

Veranstaltungsart: Informationsveranstaltung

Datum: 20. September

Uhrzeit: 10:00 bis 12:00 Uhr
Ort: Microsoft Teams

Zielgruppe: Admins der RWTH Aachen und alle weiteren Interessierten

Beschreibung
Die nächste Adminrunde findet am Mittwoch, den 20. September 2023 von 10.00 – 12.00 Uhr per Videokonferenz statt.
Allgemeine Infos zur RWTH Adminrunde

Agenda
1. Allgemeine Rahmenbedingungen für Ticket-Tools
2. Multifaktorauthentifizierung (MFA) für die RWTH
3. Geplanter Start Webex – Ablösung Jabber
4. S/MIME-Nutzerzertifikate im ra-portal

Veranstaltungsunterlagen
Die Folien der Sitzung sind im RWTH Intranet zu finden.

[:en]HPC Consultation Hour #23[:]
2023-09-21 14:00 - 15:00 | Online, Deutschland

[:en]Machine Learning Consultancy Hour #7[:]
2023-09-27 16:00 - 17:00 | Online, Deutschland

[:en]HPC Consultation Hour #24[:]
2023-10-19 14:00 - 15:00 | Online, Deutschland

[:en]NHR4CES: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking[:]
2023-10-26 13:00 - 17:00 | Online, Deutschland
Name: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking
Date: October 26, 2023

Time: 1.00 pm – 5.00 pm
Format: hybrid
More Information

Description
Short abstract:
In this course, the basics of Lagrangian point particle methods for the application on HPC systems are covered. The course consists of an introduction to the applied method, followed by a hands-on exercise using the in-house simulation framework m-AIA. The topics covered are spherical and non-spherical particles and the efficient implementation of point particle methods for the use in HPC. The course will be held in person at the Chair of Fluid Mechanics and Institute of Aerodynamics at RWTH Aachen University in Aachen. The presentations will also be streamed online.

Click here to register

[:en]Machine Learning Consultancy Hour #8[:]
2023-10-26 16:00 - 17:00 | Online, Deutschland

[:en]NHR4CES: CFD Training Series: Introduction to Turbulence Modeling and Numerical Implementation[:]
2023-11-02 13:00 - 17:00 | Online, Deutschland
Name: CFD Training Series: Introduction to Turbulence Modeling and Numerical Implementation
Date: November 02, 2023

Time: 1.00 pm – 5.00 pm
Format: online
More Information

Description
Short abstract:

In this course, the introduction to the structural properties of various turbulence modeling concepts (RANS, LES, and Hybrid RANS/LES) including associated equations will be given. In addition to the presentation, the corresponding computational setup including pre-processing, simulation implementation, and post-processing for some illustrative flow configurations will be provided based on the open-source CFD software OpenFOAM.

Click here to register

[:en]HPC Consultation Hour #25[:]
2023-11-02 14:00 - 15:00 | Online, Deutschland

[:en]NHR4CES: Parallelization in OpenFOAM for HPC Deployment[:]
2023-11-06 10:00 - 16:00 | Online, Deutschland
Name: Parallelization in OpenFOAM for HPC Deployment
Date: November 06, 2023 & November 16, 2023

Time: 10am – 4pm
Format: Online Flipped Classroom focusing on hands-on training
More Information

Description
Short abstract:

OpenFOAM is an open source, mature and established C++ library for computational continuum mechanics (CCM) including Computational Fluid Dynamics (CFD). For leveraging its full potential, it is crucial to efficiently use the high-performance computing (HPC) resources on modern distributed-memory parallel computer architectures. This must be based on a sound understanding of parallelization in OpenFOAM and HPC techniques available.
The training will be concerned with introducing the participants to the different concepts of parallelization, along with code examples for illustration. Moreover, we will provide hands-on exercises to further deepen and solidify the transferred knowledge. The participants will further gain an overview over the distinct techniques and dedicated tools involved to run a massively parallel computation using OpenFOAM, as well as over ongoing HPC-related activities in research and development.

Click here to register

[:en]NHR4CES: Introduction to Machine Learning and Deep Learning[:]
2023-11-09 09:00 - 2023-11-10 13:00 | Online, Deutschland
Name: Introduction to Machine Learning and Deep Learning
Date: November 09, 2023 & November 10, 2023

Time: 9 a.m to 1 p.m.
Format: Online
More Information

Description
Short abstract:
Not only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a data-driven 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. The participants will learn how to design ML-models by themselves and will learn about possible pitfalls when applying ML in the real world.

Click here to register

[:en]NHR4CES: CFD Training Series: Introduction to Finite Element Methods for Flow Problems[:]
2023-11-09 13:00 - 17:00 | Online, Deutschland
Name: CFD Training Series: Introduction to Finite Element Methods for Flow Problems
Date: November 09, 2023

Time: 1.00 pm – 5.00 pm
Format: Online
More Information

Description
Short abstract:

In this course, we cover various techniques to solve fluid flow problems using the finite element method. The course consists of a combination of presentations and hands-on coding exercises in which the various techniques are discussed and implemented within a basic finite element solver using Matlab.

Click here to register

[:en]NHR4CES: Machine Learning in Combustion[:]
2023-11-09 14:00 - 2023-11-10 18:00 | Online, Deutschland
Name: Machine Learning in Combustion
Date: November 09 & 10, 2023

Time: 2 pm – 6 pm
Format: Online
More Information

Description
Short abstract:
Big data and Machine Learning (ML) are driving comprehensive economic and social transformations and are rapidly becoming a core technology for scientific computing, with numerous opportunities to advance different research areas, such as combustion modeling. The combination of combustion applications with ML has been already applied to several Computational Fluid Dynamics (CFD) configurations and is a promising research direction with the potential to enable the advancement of so far unsolved problems, thanks to the ability of deep models to learn in a hierarchical manner with little to no need for prior knowledge. However, this approach presents a paradigm shift to change the focus of CFD from time-consuming feature detection to in-depth examinations of relevant features, enabling deeper insight into the physics involved in complex natural processes.
This training is designed to provide basic background on machine learning applications, highlighting some of the areas of the highest potential impact. Emerging ML areas that are promising for combustion modeling, such as reduced-order modeling advancements, versatile neural network architectures developments, as well as some potential limitations, will be discussed. The workshop aims to gather different research groups, providing a venue to exchange new ideas, discuss challenges, and expose this new research field to a broader community.

Click here to register

[:en]Introduction to the HPC JupyterHub at the RWTH[:]
2023-11-15 13:00 - 14:30 | Online, Deutschland
Abstract
The HPC JupyterHub service at the RWTH 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 showcase the HPC JupyterHub service.
Target Audience
New HPC JupyterHub users: HPC, Simulation Software and Machine Learning users.
Requirements
HPC and VPN account at the RWTH for the interactive demo.
Registration
Registration
