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WiSe 2024/25

Generative AI in Physical Production (6 ECTS) - Einzelansicht

  • Funktionen:
  • Zur Zeit keine Belegung möglich
Grunddaten
Veranstaltungsart Werk-/Fachmodul SWS 4
Veranstaltungsnummer 924110016 Max. Teilnehmer/-innen 12
Semester SoSe 2024 Zugeordnetes Modul
Erwartete Teilnehmer/-innen
Rhythmus
Hyperlink  
Sprache deutsch oder englisch (gemeinsame Festlegung)
Belegungsfrist
Termine Gruppe: [unbenannt]
  Tag Zeit Rhythmus Dauer Raum Raum-
plan
Lehrperson Bemerkung fällt aus am Max. Teilnehmer/-innen
Einzeltermine anzeigen
Mo. 16:30 bis 19:00 wöch. von 06.05.2024  Marienstraße 7 B - Seminarraum 101      
Gruppe [unbenannt]:
Zur Zeit keine Belegung möglich
 


Zugeordnete Personen
Zugeordnete Personen Zuständigkeit
Aygüler, Funda Zeynep begleitend
Hesselmeier, Martin, Prof., Dipl. in audiovisuellen Medien verantwortlich
Studiengänge
Abschluss Studiengang Semester Leistungspunkte
M. F. A. Medienkunst/Mediengestaltung (M.F.A.), PV29 - 6
B. F. A. Medienkunst/Mediengestaltung (B.F.A.), PV19 - 6
M. F. A. Medienkunst/Mediengestaltung (M.F.A.), PV19, 4-Semester - 6
M. F. A. Medienkunst/Mediengestaltung (M.F.A.), PV19, 2-Semester - 6
M. F. A. Medienkunst/Mediengestaltung (M.F.A.), PV2021, 4-Semester - 6
Leer Alle Studiengänge - 6
M. F. A. Medienkunst/Mediengestaltung (M.F.A.), PV2021, 2-Semester - 6
B. F. A. Medienkunst/Mediengestaltung (B.F.A.), PV29 - 6
Zuordnung zu Einrichtungen
Interface Design
Mediengestaltung/Medienkunst
Universitätsentwicklung
Inhalt
Beschreibung

Teacher: Funda Zeynep Aygüler (Media, Art & Design)

 

Generative models are already widely applied in art and design and their applications lead to new creative techniques like prompt engineering and model fine-tuning. In consumer contexts, it is frequently promoted for its unlimited creativity and its nearly magical ability to transform text into images, images into videos, and more. But what are the limits of working with generative models in physical production, and how does its wide range of digital possibilities connect with real-world production processes?

In this course, participants will engage available models and tools, such as text and image-to-3D models, and develop an experimental pipeline from generative AI to physical production. Participants will receive a brief history of recent developments in generative models and definitions of key terms, gain insights into widely used additive manufacturing techniques and materials, as well as specialized areas in current or developing fabrication technologies. Additionally, they will be introduced to several 3D and slicer software.

We'll examine the dynamic and iterative exchange between humans and machine learning systems, investigate the complexities presented by non-transparent interfaces, and explore the open-ended and indeterminate future of generative AI applications. The approach we will adopt involves learning by doing, testing various generative tools through practical work, and overcoming obstacles in the process of producing physical objects, we will encounter questions that lead to discoveries.

Bemerkung

The course is conducted as a students' ”Bauhaus.Module” by Funda Zeyneb Ayguyler (stud. MA KG). The mentorship lies with Prof. Martin Hesselmeier (KG).

Voraussetzungen

The course is designed for students pursuing master's and bachelor's degrees with diverse backgrounds in art, design, architecture, and media studies. No previous skills are required, but an interest in working hands-on with generative AI models, 3D graphics, and digital fabrication is necessery.

Leistungsnachweis

All students will exhibit their projects at the Summery 2024.

Zielgruppe

The course is conducted as a students’ ”Bauhaus.Module” and open to all Bachelor and Master students of the faculties of Architecture and Urbanism, Art and Design, and Media. Before registering, please consult your academic advisor and clarify whether this course can be credited to your curriculum. If required, you can conclude a learning agreement (DE/EN) before the start of the course.


Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester SoSe 2024 , Aktuelles Semester: WiSe 2024/25

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