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 two-day workshop on LaTeX in the style of a Carpentries workshop, to be presented at RWTH Aachen University on 5-6 May 2025. The workshop will cover the basics of structuring and writing a LaTeX document, as well as including graphics, tables, managing references, and other common tasks.

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. The event is open for participants from all domains, and no prior knowledge of LaTeX is required. If you are interested in taking part in the workshop, you can sign up here.

All course material is available online.

  • Title: An Introduction to Using LaTeX for Academic Publishing
  • When: Monday, May 5th (12pm-5pm) - Tuesday, May 6th, 2025 (9am-5pm)
  • Where: RWTH Aachen University, Germany (Kackertstraße 10, Aachen, DE 52072)
  • Format: This workshop in In-Person and no remote or online attendance options are currently planned.

Related Posts

Spring School 2025 in Aachen – Research Data Management in Materials Science and Engineering

Enabling a consistent and unobstructed standardization of research data will lead to substantial improvements in efficiency and synergies/collaboration among individual researchers and well-designed IT systems. In the era of digital infrastructures, this measure holds paramount importance in shaping the future of research. For the data to be sustainable and reusable, it must adhere to the “FAIR Data Principles”, meaning it should be “Findable, Accessible, Interoperable, and Re-usable”. The FAIR principles will be a cornerstone of the European Open Science Cloud (EOSC) implementation. Nowadays, Data Management Plans (DMPs) have become a requirement for project applications in Horizon Europe and are increasingly being demanded by various funding organizations, including the German Science Foundation (DFG), among others. The scientific consortium NFDI-MatWerk (National Research Data Infrastructure) focuses on the research area Materials Science & Materials Engineering (MSE). The central challenge is the digital representation of materials and their relevant process and load parameters. NFDI-MatWerk will provide in this summer school tailored information and solutions for dealing with research data in MSE.

Read More

The Carpentries Workshop: Python Basics and Plotting

As part of our “Trainings” work package, the DKZ.2R plans to curate and provide a variety of trainings, seminars and courses. We will start by offering an official The Carpentries Workshop on the 17th and 18th of March on the topic of “plotting and programming in Python”. The Carpentries Workshop by DKZ.2R: Python basics and plotting The workshop will be hosted on-site at RWTH Aachen University and is open for up to 25 participants. The workshop material is available online and will be presented by official carpentry instructors who will walk you through the steps and are available for questions the whole time. The course is teaching the very basics of Python and although some experience with other scripting/programming languages is beneficial, no prior knowledge is required for the course. Furthermore, the event is open for participants from all domains. If you are interested in taking part in the workshop you can sign up here.

Read More
Carpentries Workshop - Introduction to Python

Carpentries Workshop - Introduction to Python

Empowering Researchers with Foundational Computing Skills: Join the Upcoming Carpentries Workshop

In today’s fast-paced research environment, the ability to harness computational tools effectively can make a world of difference. Whether you’re managing data or automating tasks, having the right skills can significantly streamline your work. That’s where The Carpentries come in — a global initiative comprising the Software Carpentry, Data Carpentry, and Library Carpentry communities. These communities are dedicated to equipping researchers with essential computational and data science skills, helping them to work smarter, not harder.

Read More