ZHONG, Zixin - 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.
» 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 DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

[Matching between Lecture & Lab required]

COURSE INFO

PRE-REQUISITE	(DSAA 1001 or AIAA 2205) OR (FTEC 3130 for FTEC Major Only)
DESCRIPTION	Machine learning is an exciting and fast-growing field that leverages data to build models which can make predictions or decisions. This is an introductory machine learning course that covers fundamental topics in model assessment and selection, supervised learning (e.g. linear regression, logistic regression, neural networks, deep learning, support vector machines, Bayes classifiers, decision trees, ensemble methods); unsupervised learning (e.g. clustering, dimensionality reduction); and reinforcement learning. Students will also gain practical programming skills in machine learning to tackle real-world problems.

PRE-REQUISITE

(DSAA 1001 or AIAA 2205) OR (FTEC 3130 for FTEC Major Only)

DESCRIPTION

Machine learning is an exciting and fast-growing field that leverages data to build models which can make predictions or decisions. This is an introductory machine learning course that covers fundamental topics in model assessment and selection, supervised learning (e.g. linear regression, logistic regression, neural networks, deep learning, support vector machines, Bayes classifiers, decision trees, ensemble methods); unsupervised learning (e.g. clustering, dimensionality reduction); and reinforcement learning. Students will also gain practical programming skills in machine learning to tackle real-world problems.

DSAA 2011 - Machine Learning (3 units)

Section	Date & Time	Room	Instructor	Quota	Avail
L01 (6255)	Tu 03:00PM - 05:50PM	Rm 134, E1	YANG, Weikai ZHONG, Zixin	60	60
L02 (6256)	Fr 12:00PM - 02:50PM	Rm 134, E1	YANG, Weikai ZHONG, Zixin	60	60
LA01 (6258)	Th 04:30PM - 05:20PM	Rm 134, E1	YANG, Weikai ZHONG, Zixin	60	60
LA02 (6260)	Fr 08:00PM - 08:50PM	Rm 134, E1	YANG, Weikai ZHONG, Zixin	60	60

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	In this course, advanced algorithms for data science will be introduced. It covers most of the classical advanced topics in algorithm design, as well as some recent algorithmic developments, in particular algorithms for data science and analytics.

DSAA 5013 - Advanced Machine Learning (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6060)	Fr 09:00AM - 11:50AM	Rm 102, W4	CHU, Xiaowen ZHONG, Zixin	60	0	60	0