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Instructors: Dr. Ayse Glass; Dr. Dr. Rafael Milani Medeiros
Event type:
Seminar
Org-unit: Fachübergreifende Studienangebote
Displayed in timetable as:
Atmospheres
Crediting for:
Hours per week:
2
Location:
Hamburg
Language of instruction:
Englisch
Min. | Max. participants:
- | 30
Registration group: Q-Studies Bachelor
Grading:
Beschreibung:
Delve into the fascinating intersection of artificial intelligence (AI) and the realms of art, architecture, urban planning, and design with our course. The age-old question of whether computers can truly think like humans serves as a philosophical backdrop, setting the stage for a captivating exploration into the capabilities and limitations of AI in these creative disciplines.
The course begins by dissecting the nature of thought itself, distinguishing between the logical prowess of computers and the nuanced, subjective experiences integral to human thinking. As we navigate through the landscape of AI and Machine Learning (ML), we unravel the dependency on large-scale datasets and their transformative impact on urban planning and design.
Amidst the ongoing sociotechnical evolution driven by digital devices, we confront the challenges faced by social actors and groups when integrating AI technologies into urban subsystems. Despite advancements, obduracy persists in planning, designing, and engineering, prompting critical investigations into the implications and limitations of AI and ML in city planning.
The course highlights the role of AI in generating vast quantities of text, images, and innovative structures, providing a lens through which researchers and designers can explore new urban designs and architectural sketches. Natural Language Processing (NLP) applications become tools for extracting sentiments from the collective voice of entire cities, guiding urban planners, designers, and architects in understanding public opinions on urban life.
Furthermore, we explore the promising avenues of synthetic data generation and data fusion, revolutionizing methods in architectural design and urban studies. Simulation tools empower designers, researchers, and administrators, contributing to the creation of data-driven cities that enhance citizens' everyday lives and optimize resource utilization.
To truly comprehend the potentials of AI in design, students embark on a journey of practical application, experimenting with algorithms and tools in a creative environment. The course culminates in a comprehensive exploration of AI's impact on generative urban forms, prompting discussions on the integration of art and architecture through data fusion, addressing sensitive topics, and pushing the boundaries of algorithm-assisted creation and planning.
Key Course Topics and Activities:
• Untangling Urban Complexities with AI
• Can Computers Think Like Planners and Designers?
• Explorations with AI: Generating Cities and Neighbourhoods
• Hello World with Processing and Simulations
• Introduction to AI in the Context of Art, Architecture, and Planning
• Presentation of AI Cities
• Natural Language Processing and Computer Languages
• The COUP Tool and Urban Design Simulations and Prediction
• AI and Urban Data for Urban Innovation
• Prompt Engineering: Improving AI Generator Outputs with Human Inputs
• Developing Projects with AI/Simulation Tools
• Final AI Generations, Presentations and Discussions
The present Q-Studies proposal and instructors team follows the QStudies as offered since WiSe 22/23. No previous knowledge in coding, softwares or related systems is required. However, intakers must have a willingness to explore selected tools with the supervision and guidance of the teaching team.
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