No edit summary |
No edit summary |
||
| (2 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
[[:Category:Fachmodul|Fachmodul]] <br/> | [[:Category:Fachmodul|Fachmodul]] <br/> | ||
'''please change here:'''<br/> | '''please change here:'''<br/> | ||
''Instructor:'' [[ | ''Instructor:'' [[Funda Zeynep Ayguler]]<br/> | ||
''Credits:'' 6 [[ECTS]], 4 [[SWS]]<br/> | ''Credits:'' 6 [[ECTS]], 4 [[SWS]]<br/> | ||
''Capacity:'' max. | ''Capacity:'' max. 12 students<br/> | ||
''Language:'' English<br/> | ''Language:'' English<br/> | ||
''Location:'' | ''Location:'' Marienstraße 7b,101<br/> | ||
''First Meeting:'' '' | ''First Meeting:'' ''22 April 2024'' | ||
==Description== | ==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== | ==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=== | ===Things you need=== | ||
| Line 25: | Line 25: | ||
==Eligible participants== | ==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.<br /> | |||
==Syllabus== | ==Syllabus== | ||
Latest revision as of 00:56, 29 March 2024
Fachmodul
please change here:
Instructor: Funda Zeynep Ayguler
Credits: 6 ECTS, 4 SWS
Capacity: max. 12 students
Language: English
Location: Marienstraße 7b,101
First Meeting: 22 April 2024
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