TANG, Nan - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Fall 2024-25 Summer 2024-25 Spring 2021-22 Winter
2025-26 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

VECTOR	[0 credit]
DESCRIPTION	In this course, students are required to attend at least 6 seminars offered by the program. The program will offer at least 10 seminars related to the state of the art research on data science and analytics in each term. These seminars will help students to broaden the horizons of their knowledge on data science and analytics. Graded P or F.

DSAA 6101 - Data Science and Analytics Program Seminar I (0 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6144)	Tu 11:00AM - 11:50AM	Lecture Hall C	TANG, Nan	120	0	120	0

COURSE INFO

VECTOR	[2-0-0:2]
DESCRIPTION	This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project.

VECTOR

[2-0-0:2]

DESCRIPTION

This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project.

INFH 5000 - Information Science and Technology: Essentials and Trends (2 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6153)	Tu 09:00AM - 10:50AM	Lecture Hall A	LI, Hongyu TANG, Nan WANG, Xin WANG, Yuyang	200 Quota/Enrol/Avail For PhD students only: 90/0/90	0	200	0
L02 (6154)	We 01:30PM - 03:20PM	Lecture Hall B	LI, Hongyu TANG, Nan WANG, Xin WANG, Yuyang	200 Quota/Enrol/Avail For PhD students only: 90/0/90	0	200	0