 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | The course aims to provide a comprehensive understanding of the city and the system of cities, the challenges faced by cities, especially the rapidly-developing large cities, and the key tools for interventions in response to critical pressures linked to economic development, urbanization, globalization, migration, social inclusion, climate change, resource efficiency, technology etc. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6220) | Mo 09:00AM - 11:50AM | Room 521H VR Room, W1 | CAO, Rui KAN, Ge Lin LIU, Xiaofeng YUEN, Cheuk Yi Kelvin | 30 | 0 | 30 | 0 |
| VECTOR | [3-0-1:3] |
|---|---|
| DESCRIPTION | This course introduces students to the basic concepts and methods in Geographic Information System (GIS), and their applications in urban design and governance, environmental and infrastructure sustainability, and smart city management. This course integrates social science and informatics perspectives, and is suitable for students with various backgrounds. In addition to learning traditional GIS data, spatial analytical techniques, and GIS software, this course also develops skills of manipulating spatially detailed urban sensing Big Data (about urban activities, environmental qualities, and mobility patterns). |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6376) | We 01:30PM - 04:20PM | Rm 227, E1 | CAO, Rui ZHAO, Wufan | 15 | 0 | 15 | 0 | |
| LA01 (6377) | We 04:30PM - 05:20PM | Rm 227, E1 | CAO, Rui ZHAO, Wufan | 15 | 0 | 15 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | The course looks at some of the major drivers of urban inequality and poverty, and the key actions that cities are taking to reduce urban inequalities through urban design, infrastructure and policy. Students are introduced with tools to analyze the socio-demographic profile of households and neighborhoods/communities and their relation to spatial distribution and clustering in cities of both the developing and the developed world. A particular emphasis is placed on identifying spatial strategies that can alleviate the concentration of urban poverty and inequality to enhance urban social cohesion by optimizing access to jobs, housing, education, health, public space, transport and community infrastructure. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6221) | Tu 06:00PM - 08:50PM | Rm 103, E1 | ZHANG, Zhuoni | 15 | 0 | 15 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course provides a road map for examining the sustainability of cities through perspectives and approaches in urban governance and design. Drawing from an interdisciplinary literature, we will explore the following major themes in the context of urban sustainability: theories and assessment tools of urban sustainability, land use and transportation, urban design, energy and climate change, food and health, governance, and social ecology. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6223) | We 06:00PM - 08:50PM | Rm 201, E3 | LI, Chaosu | 15 | 0 | 15 | 0 |
| VECTOR | [2-1-0:3] |
|---|---|
| DESCRIPTION | Going beyond conventional GIS and geospatial analysis, this course delves into the realm of complexity-science methods, including fractal geometry, power law statistics, space syntax, complex networks, scaling hierarchy, and cellular automata. By embracing pivotal concepts like "natural streets" and "natural cities," alongside the tools such as Axwoman and head/tail breaks, students will explore city structure and dynamics from a complexity-science perspective. These concepts, methods and tools will be applied to open-access geospatial big data such as OpenStreetMap, nighttime imagery, and location-based social media data for revealing insights into cities for better transforming modern cities towards a sustainable planet. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6224) | Tu 09:00AM - 10:50AM | Rm 101, W2 | JIANG, BIN | 15 | 0 | 15 | 0 | |
| T01 (6379) | Tu 11:00AM - 11:50AM | Rm 101, W2 | JIANG, BIN | 15 | 0 | 15 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course provides an introduction to applied demography, the practical applications of demographic analysis. Students will learn about the basic principles of demographic analysis, including measures of population size, composition, and distribution, as well as methods for analyzing demographic changes and trends over time. Through hands-on instruction, students will also learn the applications of these techniques to real-world situations, such as policy-making, urban planning, and marketing. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6225) | Mo 01:30PM - 04:20PM | Rm 202, W1 | XIONG, Wanru | 15 | 0 | 15 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course examines the economic forces driving urban development, combining theoretical frameworks with real-world policy challenges. Key topics include agglomeration and systems of cities, urban growth and its spatial forms (sprawl v.s. densification), land use patterns (zoning and growth control), transportation (road network, transit, and congestion), housing (affordability, informality, and renewal), and the role of local governments. The course will also highlights recent disruptive forces such as remote work, autonomous vehicles, platform economy, and climate shocks in different urban contexts. Through hands-on learning experiences, students will become proficient in econometric methods and will learn to leverage emerging data sources in urban studies, such as AI-empowered textual repositories, satellite and street imagery, sensors, GPS and CDRs, and social media. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6450) | Mo 01:30PM - 04:20PM | Rm 201, W1 | WANG, Binzhe | 15 | 0 | 15 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Generative AI in 3D Space explores how cutting-edge generative AI technologies can create and refine 3D spatial designs while respecting real-world constraints. Students will dive into AI-driven 3D modeling, generative algorithms, and multi-objective optimization techniques—balancing human-centered needs with practical factors like construction feasibility, energy efficiency, material limitations, and cost. Through hands-on projects, learners will build intelligent design systems that merge creativity with real-world implement ability. This course is ideal for those interested in applying AI to architecture, urban planning, game design, virtual reality, or smart infrastructure—where intelligent, adaptive, and sustainable 3D environments are the future. Through lectures, case studies, and hands-on projects, students will build and evaluate generative design pipelines that close the loop between AI-generated spatial proposals and real-world deployment contexts. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6381) | Mo 06:00PM - 08:50PM | Rm 103, E1 | DAI, Rushi | 15 | 0 | 15 | 0 |
| VECTOR | [1 credit] |
|---|---|
| DESCRIPTION | Selected topics in hands-on data analyses, such as statistical software (R, STATA, or SAS), data management, and visualization, will be introduced to students in urban governance and design for their research. The course is offered once a year. Graded P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| T01 (6380) | We 10:30AM - 11:20AM | Rm 202, W2 | ZHOU, Muzhi | 20 | 0 | 20 | 0 |
| DESCRIPTION | Master's thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6031) | TBA | No room required | TBA | 999 | 0 | 999 | 0 |
| DESCRIPTION | Original and independent doctoral thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6032) | TBA | No room required | TBA | 999 | 0 | 999 | 0 |