Course level

Undergraduate

Units

2

Duration

One Semester

Class hours

Lecture 1 Hour/ Week
Problem Based Learning 3 Hours/ Week

Incompatible

ARCH3130

Restricted

BArchDes and BDes students only

Assessment methods

Reports

This course is not currently offered, please contact the school or faculty of your program.

Course description

Informed by emerging technologies such as big data and AI, this course examines how data-driven methods be applied in design research support strategical decision and solutions in architectural and urban contexts. Students learn techniques for sourcing, managing, analysing, and visualising diverse open-source datasets¿such as GIS and social media¿to inform context-sensitive design decisions through creative analytical visualisation. They further develop evidence-based strategies to conduct open-ended evidence based research on emerging topics at urban scales and effectively communicating their findings.