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==Description==
==Description==
Stemming from a practical exploration of designing and constructing interactive systems that can sense and respond to their physical surroundings, this course delves into the captivating realm of light and its role in electronic artworks. As we extend computing beyond the paradigm of the screen, keyboard, and mouse, we will learn how to connect sensors and actuators to create devices that can interact directly with their environment.
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?


We will cover fundamental technical skills in electronics and embedded programming while gaining a deeper understanding of light-centered interactions and how to design interfaces for non-screen-based devices.
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.


This is a student-driven course. Topics will be determined by the interests/needs of the class.  
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.


==Admission requirements==
==Admission requirements==
For Masters students. No prior experience in electronics or programming is required.
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 necessary.


===Things you need===
===Things you need===
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==Eligible participants==
==Eligible participants==
Qualified MFA Medienkunst/-gestaltung, MFA Media Art and Design, MSc MediaArchitecture candidates <br />
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.<br />


==Syllabus==
==Syllabus==

Revision as of 00:45, 29 March 2024

Fachmodul
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Instructor: Funda Zeynep Ayguler
Credits: 6 ECTS, 4 SWS
Capacity: max. 14 students
Language: English
Location: TBA
First Meeting: 16 October 2023'

Description

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.

Admission requirements

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 necessary.

Things you need

  • TBA

Evaluation

Evaluation will be determined by regular class participation, and the completion of a final project.

Eligible participants

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.

Syllabus

TBA

Course Material

TBA

Links