WANG, Binzhe - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Spring 2025-26 Winter 2025-26 Fall 2024-25 Summer
2025-26 Spring
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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COURSE INFO

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.

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.

UCUG 1000 - Cognitive Foundations of University Education: Critical Thinking and Data Literacy (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6395)	TBA	TBA	FRANZ, RACHEL LI, Ran WANG, Binzhe WU, Cai YU, Liuqian	180	0	180	0

COURSE INFO

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.

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.

UGOD 6100D - Urban Economics and Policy Analysis (3 units)

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