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Self-learning Courses

Structured self-learning on Data & AI in online courses
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Self-study courses on Data & AI Literacy

The self-study courses enable a flexible and location-independent approach to topics relating to data and artificial intelligence. Basic concepts, methods and tools are taught in structured learning units.

The courses are open to students from all disciplines. No special prior knowledge is required.

Depending on the course, enrolment takes place via Moodle, the course Moodle of the University of Jena or the Virtual Campus Thuringia via the FSU account. The courses can be used in full or only in part, depending on your interests.

Information on the scope, duration and, if applicable, certificates of achievement can be found in the respective course description.

Courses

  • genAI Licence

    External link

    The self-study course offers a structured introduction to the use of generative AI in studies. It teaches the basics of how it works, highlights opportunities and risks and provides information on the applicable regulations at the University of Jena.

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  • Data Literacy Basics

    External link de

    The online course teaches basic skills in handling data, from collecting and analysing data to interpreting and presenting it. In addition to practical insights, legal and ethical aspects are also covered.

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  • Python Learning Steps [German]

    External link de

    This online course offers a practical introduction to the Python programming language using individual learning paths with concrete case studies from various subject areas (e.g. text analysis, tabular data). The course is aimed in particular at beginners without previous experience with programming languages.

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