Also this summer semester, the Competence Center Digital Research (zedif) offers a series of courses on Tuesdays 08:00-12:00, online, English.
2022-04-26 Introduction to the Command Line2022-05-03 Basic Version Control with Git: A Beginner’s Workshop2022-05-10 Collaborative Version Control with Git: An Advanced Workshop 2022-05-17 Introduction to Containerization with Docker […]
“Data literacy is the ability to handle data in an organized manner, use them consciously and question them in the respective context. This includes the competencies to collect, explore, manage, curate, analyse, visualise, interpret, contextualise, evaluate and apply data.” (Hochschulforum Digitalisierung, 2017). As a result of the ongoing digitization and datafication of […]
On 01.04.2022, the Research Training Group “Interactive Inference” will start. The group will investigate probabilistic models and how to draw reliable conclusions from them using data. The aim is to improve the reliability of Artificial Intelligence (AI), that is used nowadays in many fields like medicine, business and science. The focus is on the development […]
The Competence Center Digital Research (zedif) is setting up quickly.
Contact details of the team, courses on several topics concerning research data and software as well as further information can be found on the website.
The zedif has set up a section in the service desk portal of Friedrich Schiller University (FSU) Jena. Here, researchers can […]
On 01.12.2021, the Friedrich Schiller University Jena and the Ilmenau University of Technology start a 4-year joint project that constitutes an important element in the development of Artificial Intelligence (AI) competencies in Thuringia. The project – “THInKI – Thüringer Hochschulinitiative für KI im Studium” – is coordinated by the Thuringian Center for Learning Systems […]
In the winter semester 2021/2022, the first stage of the DaLiJe (Data Literacy Jena) certificate program will start at Friedrich Schiller University Jena. As part of the certificate program, students from all disciplines will have the opportunity to acquire skills in dealing with data, from general basics to subject-specific methods. No special previous knowledge is […]
