CCAI 9012

Lecture: Wednesdays, 17:00–18:50, LE4

GenAI Solutions to Global Challenges explores how artificial intelligence, and generative AI in particular, can be used carefully and creatively in architecture and urban design. The course introduces core ideas behind data, machine learning, and generative models, and focuses on how these systems behave in practice rather than in abstraction.

Teaching is organised around lectures, tutorials, and case studies, alongside a team-based course project. Students work with datasets, examine model behaviour, and test AI tools through hands-on exercises, while engaging directly with questions of bias, transparency, accountability, and social impact. Ethical and responsible use is treated as a practical design concern, not a theoretical add-on.

This document links the various course components, including weekly lecture materials, tutorial resources, readings, case study briefs, and project starter kits. Content will continue to evolve over the semester as tools, examples, and risks around AI change.

Here are some important course links:

• Course Outline [link]: View the summary course outline, including the overall course structure, assessment, and key information.

• Course Plan [link]: the week-by-week sequencing of lectures, tutorials, and assessment milestones.

• Course Weekly Tutorials

  • Weekly Sign-up [link]: Register for your preferred tutorial session each week.
  • General Availability [link]: Please indicate your general availability to help us plan and coordinate tutorial sessions.