Computational Thinking& Aesthetic Doing

Über diesen Studiengang

This research area at KHM combines critical and creative approaches to make the inner workings of algorithmic systems visible, question them, rethink them, and, if necessary, resist them. The focus is on the connection between power and ideology in machine learning. We program together, tinker, read, reflect, make art, research, solve problems together, create zines, and eat snacks. It doesn't matter how much experience you have with code. We look forward to you joining us! "Computational Thinking" means not that computers can think, but the critical examination of the logic of computing. Our challenge is to question the assumptions embedded in socio-technical systems throughout history in order to expand the possibility space of Computational Thinking. This requires us to find counter-histories of algorithmic systems, conduct artistic experiments, examine or reveal existing methods and tools, and cultivate embodied practices with/without technology that open up alternative future visions. "Aesthetic Doing" means creating something and being in the process, doing as action and as activism, aesthetics as politics and form. For example, how do computer-aided forms limit our language and thinking? We use code as an artistic material to reflect on technical systems of various scales: from a single line of code, to machine learning models with billions of parameters, to the infrastructures that support them. The more terms like "language" and "understanding" shift towards interactions with and between machines, the more we need to develop approaches to work with algorithmic systems under these new conditions, as part of a community that produces collectively usable, accessible tools and resources. We believe that artistic research and practice in the field of critical, creative coding can bring about concrete interventions with direct social and political impact.

Benötigte Dokumente

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• Beglaubigte Kopie der Bachelorurkunde
• Beglaubigte Übersetzung der Bachelorurkunde
• Beglaubigtes Transcript of Records (alle Semester)
• Gültiger Reisepass (Kopie der Passbildseite)
• Tabellarischer Lebenslauf

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