The Carpentries Workshop: Introduction to the Unix Shell, Git, and GitLab

The DKZ.2R presents, as a part of our “Trainings” work package, a Carpentries Workshop on the 18th and 22nd of November on the topic of “Introduction to the Unix Shell, Git, and GitLab”. This is an official Carpentries Workshop and will be hosted on-site at RWTH Aachen University.

Workshop material is available online and will be presented by official Carpentries instructors, who will guide you through the concepts with the help of hands-on exercises and personalized support. The course is designed for beginners and is open to participants from all domains. No prior knowledge is required. If you are interested in taking part in the workshop, you can sign up here.

Hackathon DKZ.2RxQUADRIGA

On May 8th, the Data Literacy Centers DKZ.2R and QUADRIGA are teaming up for a hackathon on the topic of text-corrections using LLM’s.

This will be an internal event for members of the Data Literacy Centers DKZ.2R and QUADRIGA.

The Data Literacy Center QUADRIGA is primarily focused on creating high-quality educational resources for the digital humanities. In our hackathon we will work on a use casedealing with historical texts from the time of the spanish flu. Channelling our resources and competencies will not only help us to strengthen the connections between our two Data Literacy Centers but will also provide us with a use case on how to use LLMs for the post-correction of automatically recognized historical texts which can be used for training purposes such as Data Challenges and Workshops in a variety of different domains.

Introduction to Machine Learning with Python and Scikit-Learn

As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a one and a half day carpentries-style workshop on basic machine learning using python and scikit-learn, to be presented at RWTH Aachen University on 24th and 25th of July, 2025. The workshop will cover the following topics:

• What is Machine Learning / Why bother?
• Supervised Methods (Regression / Classification)
• Ensemble Methods
• Unsupervised Methods (Clustering / Dimensionality Reduction)
• Neural Networks
• Ethics and Implications of Machine Learning

Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. If you are interested in taking part in the workshop, you can sign up here.