Our modern, digitalized world generates incredible amounts of data. With all this data, the ability to draw intelligence and benefit from it is becoming increasingly important for companies. The reason: data is the key to better and faster business decisions. As a result, the demand for analytics skills on the job market is growing rapidly.

Over two days, the SAS® Analytics School introduces you to the Analytics Life Cycle - a way of working with data that covers the entire process from data preparation to analysis and deployment. Through the SAS® Skill Builder for Students platform, you have free access to SAS® software, extensive training materials, e-learning courses and documentation - even after the course to expand your analytical knowledge.

When: Annually in February, May, August and November

Where: Online

Free registration hier

Topic:
"How European and US law and regulations impacts Machine Learning (ML) applications design and Artificial Intelligence (AI) systems"

Speaker:
Dr. Francesca Hennig-Possenti
(John Deere, Chair of AI Group CEMA)

When?
Monday, 08.04.2024, 4:15 p.m.

Where?
HS Ö2

Zoom
Meeting-ID: 661 7333 8158
Kenncode: 40RXUq

The KIM is offering a 2-part online training on April 17th and 18th, 2024, for getting started with high-performance computing in Baden-Württemberg (bwHPC). This event is aimed at HPC-interested students, doctoral candidates, and employees from all disciplines who wish to implement their compute and/or data-intensive simulations and computing projects on high-performance computers in the future.

Part 1 "Learning Linux: Getting Started with High-Performance Computing" will take place on Wednesday, April 17th, 2024, and is aimed at absolute beginners. It will explain basic commands with Linux, such as creating, copying, and moving files, assigning rights, and creating first scripts in an editor. Additionally, it will show how to proceed step by step from the application submission to the start on the high-performance computer bwUniCluster.

More information on Part 1: LINK

Part 2 "Introduction to High-Performance Computing (bwHPC)" taking place on Thursday, April 18th, 2024, will explain the use of the bwUniCluster for beginners. Examples will demonstrate how to request computing resources from the high-performance computer, start calculations, launch software, and how to create workspaces in the file system. The course will be supplemented with exercises on the bwUniCluster to deepen the learned content. The event will be conducted in English.

More information on Part 2: LINK 

For information on high-performance computing/bwHPC, please visit the KIM webseite.

Master’s thesis project in the department “Physiology of Yield Stability” with Jun. Prof. Dr. Sandra Schmöckel under joint supervision with PhD candidate Marius Kollmar.

Further information here.

The thesis can be done in German or English, but preferentially in English.

Please contact (in German or English): Marius Kollmar marius.kollmar@uni-hohenheim.de

Some more information can also be found at phys.uni-hohenheim.de

(posted 04-09-2023)