AI in Architectural Design
Learn AI fundamentals and apply machine learning to architectural design in this 8-week course from DelftX.
Learn AI fundamentals and apply machine learning to architectural design in this 8-week course from DelftX.
Explore the intersection of AI and architectural design in this comprehensive 8-week course. Gain a solid foundation in AI, machine learning, and computer vision, with a focus on their applications in architecture. Learn to use open-source AI tools and work with architectural design data using freely available AI models. Through hands-on Python programming exercises, you'll develop practical skills in data visualization and machine learning. This course is ideal for architects and students looking to enhance their skills in the evolving landscape of design, data, and AI, offering a new methodology for scientific design thinking and improving job market competency.
Instructors:
English
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What you'll learn
Explain machine learning as the science behind AI technology
Describe computer vision and its relation to AI technology
Identify applications of computer vision in architectural design and engineering
Learn to find and work with data related to the built environment
Re-conceptualize design as data storytelling
Gain hands-on experience in Python programming for machine learning projects
Skills you'll gain
This course includes:
Live video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course provides a comprehensive introduction to AI in architectural design. It covers the fundamentals of AI, machine learning, and computer vision, with a focus on their applications in architecture. Students learn about open-source AI tools and how to work with architectural design data using freely available AI models. The course includes hands-on experience with Python programming and explores how to use AI for data visualization and design storytelling. It also introduces concepts of algorithmic and data-driven thinking, data patterns, and the transformative power of learning systems. The course is structured to help architects and students develop new skills in programming and AI, enhancing their competitiveness in the job market.
AI Knowledge: Part 1
Module 1
AI Knowledge: Part 2
Module 2
Comprehension - Part 1
Module 3
Module 4: Comprehension - Part 2
Module 4
Fee Structure
Instructor
1 Course
Expert in AI Applications for Architecture and Built Environment
Seyran Khademi serves as an Assistant Professor at the Design, Data and Society Group within TU Delft's Faculty of Architecture and the Built Environment, where she co-directs the AiDAPT Lab focusing on AI applications in architecture and built environment. After completing her Bachelor's degree from the University of Tabriz and Master's from Chalmers University of Technology, she earned her PhD from TU Delft in 2015. Her expertise spans computer vision, visual similarity learning, dataset visualization, quantitative visual analysis, and interpretable AI. As an interdisciplinary researcher, she has successfully bridged the gap between computer science and architecture through her postdoctoral work at TU Delft's Computer Vision Lab and Faculty of Architecture. Her research focuses on developing AI methods to support informed design decisions, particularly in architectural applications. She leads initiatives in automatic recognition and understanding of visual data in architectural representations, contributing to the development of intelligent processes for architectural and structural decisions
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