XING, Hong - 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

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 (6088)	We 06:30PM - 09:20PM	Rm 150, E1	GONG, Zijun XING, Hong	30	0	30	0

[Matching between Lecture & Tutorial required]

COURSE INFO

PRE-REQUISITE	UFUG 1102 OR UFUG 1105
DESCRIPTION	This course covers the basic concepts of Statistics and Probability Theory, gives a systematic introduction to Statistical Inference, Test Statistic, Regression, and Bayesian Statistics, and deepens the understanding of these theories and techniques through practical applications.

UFUG 2104 - Applied Statistics (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L03 (6462)	TuTh 10:30AM - 11:50AM	Rm 149, E1	XING, Hong	45	0	45	0
T03 (6466)	Fr 10:30AM - 11:20AM	Rm 134, E1	XING, Hong	45	0	45	0