Course Syllabus

We have been trying to understand nature since time immemorial. Observation, abstraction and formalization make it possible to describe our environment and, in the broadest sense, make it calculable. But is it really that simple, or does abstraction not always mean a reduction of the whole, since all facts of experience are disregarded that do not fit into the respective conceptual framework? Also, in nature we are always dealing with non-linear and dynamic processes, which are hardly computable with classical algorithms and require alternative computational models.

We undertake a joint journey from a mechanistic world view, through the history of cybernetics to current research topics such as neural networks and genetic algorithms. We will invite interesting guests, discuss texts and also design small experiments.

Participants

Alice Maria Rzezonka, Agustina Andreoletti, Hannes Jung,
Hanna Schumacher, Stephanie Paeper, Franziska Volmer,
Patrick Wiesmann, Clara Henze, Anne Poggenpohl,
Aljoscha Nimz, Martin Moldenhauer, Dorothee Clasen,
Evgenii Krivoruchko & Ilja Burzev, Mathias Demmer

Supervision:
Prof. Andreas Muxel
Dipl. Des. David Grieshammer