JIANG, BIN - 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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This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

AIAA AMAT BSBE CMAA CNCC CNGF DLED DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

ATTRIBUTES	Common Core: Foundations (HMW)
DESCRIPTION	This course will help students adapt to university life through advising, sharing and discussion, and applying the science of well-being to enhance their personal and interpersonal development. It also aims to foster their self-understanding and confidence as young adults who can fully enjoy their university education and career thereafter. The course has 3 components: Lectures/Seminars, Self-Directed Experience, and Advising/Community Meetings. Lectures and Seminars will orientate students to their respective f personal enrichment. In Advising and Community Meetings, students will bring knowledge and skills together through reflection and discussion with peers and Hub/Thrust advisors. Topics such as learning and time management skills, purpose of university personal enrichment. In Advising and Community Meetings, students will bring knowledge and skills together through reflection and discussion with peers and Hub/Thrust advisors. Topics such as learning and time management skills, purpose of university education, and planning for personal and professional development will be covered. Graded P, F or PP.

ATTRIBUTES

Common Core: Foundations (HMW)

DESCRIPTION

This course will help students adapt to university life through advising, sharing and discussion, and applying the science of well-being to enhance their personal and interpersonal development. It also aims to foster their self-understanding and confidence as young adults who can fully enjoy their university education and career thereafter. The course has 3 components: Lectures/Seminars, Self-Directed Experience, and Advising/Community Meetings. Lectures and Seminars will orientate students to their respective f personal enrichment. In Advising and Community Meetings, students will bring knowledge and skills together through reflection and discussion with peers and Hub/Thrust advisors. Topics such as learning and time management skills, purpose of university personal enrichment. In Advising and Community Meetings, students will bring knowledge and skills together through reflection and discussion with peers and Hub/Thrust advisors. Topics such as learning and time management skills, purpose of university education, and planning for personal and professional development will be covered. Graded P, F or PP.

UCUG 1001 - Behavioral Foundations of University Education: Habits, Mindsets, and Wellness (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L08 (6719)	23-JAN-2026 - 31-JAN-2026 Mo 04:30PM - 05:50PM	TBA	JIANG, BIN	65	0	65	0	The class is delivered in Lecture Hall A in Week 1.
L08 (6719)	01-FEB-2026 - 11-MAY-2026 Mo 04:30PM - 05:50PM	Rm 134, E1	JIANG, BIN	65	0	65	0	The class is delivered in Lecture Hall A in Week 1.

COURSE INFO

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.

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.

UGOD 5105 - Urban Complexity Analysis and Modeling (3 units)

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