Zicheng Fan

Zicheng Fan

Urban Researcher

Teaching

Teaching Assistant - CDE2215 Introduction to GIS

UNdergraduate course, Department of Architecture, National University of Singapore, 2025

This course focuses on the important concepts and the practical use of Geographic Information System (GIS) in problem solving in both the social and physical sciences. Topics to be covered include vector and raster data formats and their analytical functions. This course is designed as learning through practicing, so practical laboratory excises utilising GIS software such as ArcGIS will be major classroom activities. This course is mounted for students throughout NUS with interests in GIS applications in sciences, social sciences, engineering and business analysis.

Teaching Assistant - CDE2212 AI for Design

Undergraduate course, Department of Architecture, National University of Singapore, 2024

This module introduces you to applications of Artificial Intelligence (AI), especially with respect to the design of our environment. Application spaces may include buildings, public spaces, landscapes, dwellings, transportation nodes, and recreational areas. AI can support the designer in the design decision making process, through both analysis and synthesis. In this module you will be presented with an overview of different kinds of AI applications for design, with a partial focus on the application of an AI-based methodology for design exploration with respect to selected performance indicators, and another on the application of image-based AI techniques supporting design space interpretation.

Teaching Assistant - DEP5111 Planning Technologies

Postgraduate course, Department of Architecture, National University of Singapore, 0202

This graduate course is intended to MUP and Architecture students and others at the College of Design and Engineering who aspire to learn about data science in general and in the urban context, and attain basic programming skills in R. Much of it is focused on urban data and applications in the urban context. This course is composed of lectures and computer labs, providing hands-on the state of the art tools, datasets, and methods to manipulate, analyse, and visualise data. The course focuses on urban problems, but it is taught in a sufficiently generic manner so the knowledge can be transferrable to other domains.