XIA, Jun - 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.
» Student Information System (SIS)» PG Program/Course Catalog
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	DSAA 2011 or AIAA 3111
DESCRIPTION	This course provides students with an extensive exposure to deep learning. Topics include shallow and deep neural networks, activation functions and rectified linear unit, construction of deep neural networks and matrix representations including deep convolutional neural networks and deep recursive neural networks, computational issues including backpropagation, automatic differentiation, stochastic gradient descent, complexity analysis, approximation analysis including universality of approximation, design of deep neural network architectures and programming according to various applications.

PRE-REQUISITE

DSAA 2011 or AIAA 3111

DESCRIPTION

This course provides students with an extensive exposure to deep learning. Topics include shallow and deep neural networks, activation functions and rectified linear unit, construction of deep neural networks and matrix representations including deep convolutional neural networks and deep recursive neural networks, computational issues including backpropagation, automatic differentiation, stochastic gradient descent, complexity analysis, approximation analysis including universality of approximation, design of deep neural network architectures and programming according to various applications.

DSAA 2012 - Deep Learning (3 units)

Section	Date & Time	Room	Instructor	Quota	Avail
L01 (6666)	Mo 03:00PM - 04:20PM	Rm 148, E1	GUO, Zhijiang XIA, Jun	48 Quota/Enrol/Avail BSc(DSBD) students: 48/0/48	48
L01 (6666)	Fr 10:30AM - 11:50AM	Rm 148, E1	GUO, Zhijiang XIA, Jun	48 Quota/Enrol/Avail BSc(DSBD) students: 48/0/48	48
L02 (6667)	MoWe 09:00AM - 10:20AM	Rm 101, W4	GUO, Zhijiang XIA, Jun	48 Quota/Enrol/Avail BSc(DSBD) students: 48/0/48	48
LA01 (6668)	Th 05:30PM - 06:20PM	Rm 148, E1	GUO, Zhijiang XIA, Jun	48	48
LA02 (6669)	Th 05:30PM - 06:20PM	Rm 101, W4	GUO, Zhijiang XIA, Jun	48	48

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