| ATTRIBUTES | Common Core: Foundations (CTDL) |
|---|---|
| DESCRIPTION | This course is taught by a teaching team of a group of faculties from four Hubs to introduce the basics of critical thinking and data literacy. The course will be delivered using the problem-solving approach with interdisciplinary applications. The contents include barriers to critical thinking, characteristics of a critical thinker, argument, cognitive bias, logical fallacies, inductive reasoning, and simple probability and statistical models. Students will be equipped with critical thinking and data analyzing skills to analyze problems of reasoning, evaluate the truthfulness of evidence, examine the fallacies of thinking, construct valid arguments, and make better decisions in personal and professional life. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6252) | TBA | TBA | FRANZ, RACHEL HOU, Yun KUO, YI LUNG LI, Ran WANG, Binzhe WU, Cai XIAO, Dianxun XIONG, Wanru YANG, De YU, Liuqian ZHANG, Xuning ZUO, Ruiting | 250 | 0 | 250 | 0 |
| PRE-REQUISITE | UGOD 5020 Quantitative Social Science |
|---|---|
| PREVIOUS CODE | UGOD 6100D |
| 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 vs. 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 highlight recent disruptive forces such as remote work, autonomous vehicles, platform economy, and digital governance in different urban contexts. Through case studies in policy analysis, students will become familiar with classical causal inference research design and learn to leverage emerging data sources, such as AIpowered textual repositories, satellite and street imagery, sensors, GPS, and social media. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6501) | Fr 01:30PM - 04:20PM | Rm 201, W1 | WANG, Binzhe | 15 | 0 | 15 | 0 |