CHEN, Jintai - HKUST Class Schedule & Quota

Class Schedule & Quota
2024-25 Spring 2024-25 Fall 2023-24 Summer 2021-22 Winter
2024-25 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 DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

DESCRIPTION	This course provides guidance to undergraduate students of the AI major for their academic path and future. This course is mostly introductory and aims to inspire UG students for their academic path development and growth of maturity during their UG study. Activities may include seminars, workshops, advising and sharing sessions, interaction with faculty and teaching staff, and discussion with student peers or alumni. Graded P or F.

DESCRIPTION

This course provides guidance to undergraduate students of the AI major for their academic path and future. This course is mostly introductory and aims to inspire UG students for their academic path development and growth of maturity during their UG study. Activities may include seminars, workshops, advising and sharing sessions, interaction with faculty and teaching staff, and discussion with student peers or alumni. Graded P or F.

AIAA 1010 - Academic Orientation for AI Students (1 unit)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6249)	Fr 09:00AM - 09:50AM	Rm 102, E4	CHEN, Jintai CHEN, Yingcong DAI, Enyan HU, Xuming LIANG, Junwei LIU, Li RIKOS, APOSTOLOS SUN, Ying WANG, Hao WANG, Xin XIE, Sihong XIE, Zeke YUE, Yutao	100	0	100	0

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course delves into essential machine learning and deep learning algorithms for healthcare applications, covering areas such as life sciences discovery, medical image analysis, biosignal processing, medical data mining, and foundational models for electronic health records. Core topics include key methodologies for algorithm design, commonly used data structures, and widely adopted algorithms tailored to diverse healthcare challenges. Additionally, the course highlights the latest advancements in this rapidly evolving field.

VECTOR

[3-0-0:3]

DESCRIPTION

This course delves into essential machine learning and deep learning algorithms for healthcare applications, covering areas such as life sciences discovery, medical image analysis, biosignal processing, medical data mining, and foundational models for electronic health records. Core topics include key methodologies for algorithm design, commonly used data structures, and widely adopted algorithms tailored to diverse healthcare challenges. Additionally, the course highlights the latest advancements in this rapidly evolving field.

AIAA 6011B - Frontier of "AI for Healthcare" (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6011)	Mo 01:30PM - 04:20PM	Rm 102, E1	CHEN, Jintai	30	0	30	0

COURSE INFO

VECTOR	[0 credit]
DESCRIPTION	Series of seminars presenting research problems currently under investigation, presented by faculty, students, and visiting speakers. Students are expected to attend regularly. Graded P or F.

AIAA 6101 - Artificial Intelligence Seminar I (0 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
T01 (6006)	We 11:00AM - 11:50AM	Rm 102, E4	CHEN, Jintai	80	0	80	0