HU, Xuming - 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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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

DESCRIPTION	This introductory course surveys the explosive area of AI ethics and illuminates relevant AI concepts with no prior background needed. Key topics include Fake News Bots; AI Driven Social Media Displacing Traditional Journalism; drone Warfare; Elimination of Traditional Jobs; Privacy-violating Advertising; Monopolistic Network Effects; Biased AI Decision/Recognition Algorithms; Deepfakes; Autonomous Vehicles; Automated Hedge Fund Trading, etc. Through the course, students will be able to understand how human civilization will survive amid the rise of AI, what are the new rules in the new era, how to preserve ethics when facing the threats of extinction and what are engineers’ and entrepreneurs’ ethical responsibilities.

DESCRIPTION

This introductory course surveys the explosive area of AI ethics and illuminates relevant AI concepts with no prior background needed. Key topics include Fake News Bots; AI Driven Social Media Displacing Traditional Journalism; drone Warfare; Elimination of Traditional Jobs; Privacy-violating Advertising; Monopolistic Network Effects; Biased AI Decision/Recognition Algorithms; Deepfakes; Autonomous Vehicles; Automated Hedge Fund Trading, etc. Through the course, students will be able to understand how human civilization will survive amid the rise of AI, what are the new rules in the new era, how to preserve ethics when facing the threats of extinction and what are engineers’ and entrepreneurs’ ethical responsibilities.

AIAA 2290 - Ethics, Privacy and Security in Artificial Intelligence (3 units)

Section	Date & Time	Room	Instructor	Quota	Avail
L01 (6551)	Mo 04:30PM - 05:50PM	Rm 101, E1	HU, Xuming LONG, Yan	80 Quota/Enrol/Avail For UG year 2 & above students: 80/0/80	80
L01 (6551)	Fr 12:00PM - 01:20PM	Rm 101, E1	HU, Xuming LONG, Yan		80
L02 (6552)	WeFr 01:30PM - 02:50PM	Lecture Hall A	HU, Xuming LONG, Yan	80 Quota/Enrol/Avail For UG year 2 & above students: 80/0/80	80

COURSE INFO

DESCRIPTION	This course offers an in-depth exploration of Natural Language Processing (NLP), emphasizing transformative neural network architectures like RNNs and transformers. Students will engage with core NLP tasks such as language modeling and machine translation, and examine the impacts of recent innovations like Large Language Models.

AIAA 5088 - Natural Language Processing and Its Applications (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6028)	Th 06:30PM - 09:20PM	Rm 147, E1	HU, Xuming	40	0	40	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