This track focuses on integrating artificial intelligence into the architectural design process, empowering students to leverage machine learning and AI tools for creating intelligent, data driven designs. Students will delve into generative design algorithms, AI-powered simulations, and performance analysis to develop innovative solutions. Includes topics such as: AI-Driven Design Tools, Generative Design and Optimization, Performance-Based Design Analytics, Autonomous Building Systems, AI for Urban and Environmental Analysis.
Students in the AI in Architecture Track will:
• Understand the fundamentals of AI and ML in the context of architecture and the built environment.
• Develop proficiency in computational design tools, such as Grasshopper, Rhino, MidJourney, Stable Diffusion, and AI-assisted generative design software.
• Explore AI-driven building performance analysis, including energy modeling, daylight optimization, and environmental simulations.
• Leverage AI for urban and smart city planning, analyzing big data, mobility patterns, and sustainability metrics.
• Use AI in architectural visualization, employing tools for automated rendering, image generation, and augmented reality presentations.
• Investigate ethical considerations and biases in AI-generated designs, ensuring responsible and human-centered AI integration in architecture.
• Develop innovative AI-driven workflows to automate design iterations, optimize material usage, and enhance sustainability.