LPU - Lovely Professional University
What you'll learn

COURSE DESCRIPTION This course introduces undergraduate students to the integration of Artificial Intelligence (AI) within architectural design and planning processes. It focuses on developing computational thinking, generative design approaches, and data-driven decision-making while addressing ethical and sustainability concerns in the built environment. ________________________________________ COURSE OUTCOMES CO1:: explain fundamental concepts of AI in architecture and planning CO2:: apply data-driven and performance-based design approaches CO3:: apply AI tools for design ideation and visualisation CO4:: analyze application of AI in conceptual and analytical design processes CO5:: evaluate smart and sustainable design process with implications of AI in design CO6:: develop AI-assisted architectural/planning design solutions

  • • Role of AI in Architecture and Planning • Case studies of AI-driven built environment projects
  • • Generative AI tools (text-to-image, design assist tools) • Prompt engineering strategies • AI for visualization and ideation
  • • Pre-design analysis • Concepts-driven approaches
  • • Form generation and optimization • Performance-driven design basics
  • • Ethical considerations • AI for climate-responsive and sustainable design
  • • Role of AI in Architecture and Planning • Case studies of AI-driven built environment projects
  • • Generative AI tools (text-to-image, design assist tools, like ChatGPT, Arena, Claude, grok, Gemini, Canva, Notebook LM, stealth writer) • Prompt engineering strategies • AI for visualization and ideation
  • • Pre-design analysis • Concepts-driven approaches
  • • Form generation and optimization (using prompt engineering in the conventional design process) • Performance-driven design basics
  • • Ethical considerations (Process respecting ethics) • AI for climate-responsive and sustainable design
  • • Role of AI in Architecture and Planning • Case studies of AI-driven built environment projects
  • • Generative AI tools (text-to-image, design assist tools, like ChatGPT, Arena, Claude, grok, Gemini, Canva, Notebook LM, stealth writer) • Prompt engineering strategies • AI for visualization and ideation
  • • Pre-design analysis • Concepts-driven approaches
  • • Form generation and optimization (using prompt engineering in the conventional design process) • Performance-driven design basics
  • • Ethical considerations (Process respecting ethics) • AI for climate-responsive and sustainable design

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Himmat Bhatia
Professor

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