LIU, Hao - HKUST Class Schedule & Quota

Class Schedule & Quota
2026-27 Fall 2025-26 Summer 2025-26 Spring 2025-26 Winter
2026-27 Fall
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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Notes & Links
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

PRE-REQUISITE	UFUG 2601 OR UFUG 2602 OR DSAA 1001
DESCRIPTION	This course explains the fundamental principles, uses, and some technical details of data mining techniques through lectures and real-world case studies. The emphasis is on understanding the business applications of data mining techniques. The mechanics of how data analytics techniques work will also be discussed as it is essential to the understanding of the fundamental concepts and business applications.

PRE-REQUISITE

UFUG 2601 OR UFUG 2602 OR DSAA 1001

DESCRIPTION

This course explains the fundamental principles, uses, and some technical details of data mining techniques through lectures and real-world case studies. The emphasis is on understanding the business applications of data mining techniques. The mechanics of how data analytics techniques work will also be discussed as it is essential to the understanding of the fundamental concepts and business applications.

AIAA 3111 - Introduction to Data Mining (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6556)	Mo 03:00PM - 04:20PM	Lecture Hall B	LIU, Hao	100 Quota/Enrol/Avail UG Year 3&4 AI students: 100/0/100	0	100	0
L01 (6556)	Fr 10:30AM - 11:50AM	Lecture Hall B	LIU, Hao		0	100	0

COURSE INFO

ATTRIBUTES	Common Core: Foundations (CTDL)
DESCRIPTION	This course introduces the foundations and applications of Artificial Intelligence for non-specialist students. It emphasizes interdisciplinary perspectives, project-driven practice, and societal implications. Students will gain an understanding of AI background, core technologies (such as natural language processing, computer vision, and AI agents), and their impact on future careers and research. The course combines lectures, interactive classroom discussions, and project-based learning to cultivate creativity, critical thinking, and teamwork. By engaging in real-world projects, students will develop hands-on problem-solving skills and enhance their competitiveness in the digital era. Graded Pass/Fail.

ATTRIBUTES

Common Core: Foundations (CTDL)

DESCRIPTION

This course introduces the foundations and applications of Artificial Intelligence for non-specialist students. It emphasizes interdisciplinary perspectives, project-driven practice, and societal implications. Students will gain an understanding of AI background, core technologies (such as natural language processing, computer vision, and AI agents), and their impact on future careers and research. The course combines lectures, interactive classroom discussions, and project-based learning to cultivate creativity, critical thinking, and teamwork. By engaging in real-world projects, students will develop hands-on problem-solving skills and enhance their competitiveness in the digital era. Graded Pass/Fail.

UCUG 1002 - Artificial Intelligence General Education (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6266)	TBA	TBA	CHEN, Jintai CHEN, Lei HU, Xuming LIU, Hao LIU, Li LIU, Xiaofeng XIA, Jun YUE, Yutao YUEN, Cheuk Yi Kelvin	300	0	300	0