XING, Hong - HKUST Class Schedule & Quota

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

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course introduces the fundamentals and advanced topics of statistics from its modeling, analysis and inference that covers multivariate distribution along with dimension-reduction techniques, concentration inequalities, classification/clustering, to applications in statistical signal processing, including estimation theory and methods, detection theory and methods, and advanced algorithms such as Markov Chain Monte Carlo (MCMC) and expectation maximization (EM), etc.

VECTOR

[3-0-0:3]

DESCRIPTION

This course introduces the fundamentals and advanced topics of statistics from its modeling, analysis and inference that covers multivariate distribution along with dimension-reduction techniques, concentration inequalities, classification/clustering, to applications in statistical signal processing, including estimation theory and methods, detection theory and methods, and advanced algorithms such as Markov Chain Monte Carlo (MCMC) and expectation maximization (EM), etc.

IOTA 5505 - Statistics for Inference, Learning and Data Processing (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6212)	22-JAN-2024 - 14-MAR-2024 Tu 03:00PM - 05:50PM	Rm 122, E1	GONG, Zijun XING, Hong	40	6	34	0
L01 (6212)	15-MAR-2024 - 10-MAY-2024 Tu 03:00PM - 05:50PM	Rm 101, W2	GONG, Zijun XING, Hong	40	6	34	0

COURSE INFO

VECTOR	[0-1-0:1]
DESCRIPTION	A series of regular seminars presented by postgraduate students, faculty, and guest speakers on IoT-related research problems currently under investigation. Students are expected to attend regularly. Continuation of IOTA 6101. Graded P or F.

IOTA 6102 - Internet of Things Seminar II (1 unit)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
T01 (6048)	Fr 09:30AM - 10:20AM	Rm 150, E1	XING, Hong	40	31	9	0