LI, Qiumeng - HKUST Class Schedule & Quota

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
L01 (6457)	Fr 09:00AM - 10:20AM	Lecture Hall A	BRENNAN, SHANE JI, Chao KUO, YI LUNG LI, Qiumeng LIU, Xiaofeng LUO, Moxuan LYU, Dongye MENG, Fanqin NG, TAI KAI REN, ZHIJUN TONG, Xin WANG, Zeyu XU, JUNYU XU, Kewei YAN, Chang ZHANG, Mei	500	476	24	0	For teaching activities delivered in E1-122, the classroom adjustment will be: 1. Oct 17: C2-102 2. Oct 24: C2-102 3. Oct 31: W1-5F-521S Stage 4. Nov 7: C2-103/104 5. Classes after Nov 7: TBD For the schedule details, please reach out to PGE (ces-pge@hkust-gz.edu.cn)
	Fr 09:00AM - 10:20AM	Lecture Hall C	TBA
	Fr 09:00AM - 10:20AM	Rm 101, W1	TBA
	Fr 09:00AM - 10:20AM	Rm 102, W4	TBA
	Fr 09:00AM - 10:20AM	Rm 122, E1	TBA
	Fr 09:00AM - 10:20AM	Rm 134, E1	TBA
	Fr 09:00AM - 10:20AM	Rm 222, W1	TBA
	Fr 09:00AM - 10:20AM	Rm 201, E1	TBA

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course examines human travel behavior and mobility patterns across spatial and temporal dimensions, with emphasis on interactions with built environment. Students will study how streetscapes, environmental exposures, urban form, and socio-economic conditions shape mobility choices, health, and well-being. The course integrates theoretical frameworks and cutting-edge analytical methods—including AI agents for behavioral geography, machine learning, and spatial causal inference—along with empirical data such as GPS tracking, mobile data, street imagery and environmental exposure data. Key topics include spatio-temporal behavior, built environment perception for mobility, micro-mobility behavior, and the cognitive processing of travel trajectories and decisions. Case studies address commuting patterns, accessibility disparities, shared mobility, and disaster resilience. The course also features visits to partner enterprises, promoting integration of academia, research, and industry practice.

VECTOR

[3-0-0:3]

DESCRIPTION

This course examines human travel behavior and mobility patterns across spatial and temporal dimensions, with emphasis on interactions with built environment. Students will study how streetscapes, environmental exposures, urban form, and socio-economic conditions shape mobility choices, health, and well-being. The course integrates theoretical frameworks and cutting-edge analytical methods—including AI agents for behavioral geography, machine learning, and spatial causal inference—along with empirical data such as GPS tracking, mobile data, street imagery and environmental exposure data. Key topics include spatio-temporal behavior, built environment perception for mobility, micro-mobility behavior, and the cognitive processing of travel trajectories and decisions. Case studies address commuting patterns, accessibility disparities, shared mobility, and disaster resilience. The course also features visits to partner enterprises, promoting integration of academia, research, and industry practice.

UGOD 6100A - Behavioral Geography: Space-Time Dynamics of Human Mobility (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6274)	Tu 09:00AM - 11:50AM	Rm 202, E1	LI, Qiumeng	15	12	3	0