LI, Lei - HKUST Class Schedule & Quota

Class Schedule & Quota
2026-27 Fall 2025-26 Summer 2025-26 Spring 2025-26 Winter
2026-27 Fall
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 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

DESCRIPTION	Data science changes the way people process data in different areas. It has promoted the development of many subjects. This course introduces beginners to the whole lifecycle of data science problems and solutions. The course will help students comprehensively understand the basic knowledge of data science and use computer techniques to handle the real-life data science problems. Topics covered include data collection and processing, machine learning (including classification and clustering), statistical estimation and inference methods, and case studies.

DESCRIPTION

Data science changes the way people process data in different areas. It has promoted the development of many subjects. This course introduces beginners to the whole lifecycle of data science problems and solutions. The course will help students comprehensively understand the basic knowledge of data science and use computer techniques to handle the real-life data science problems. Topics covered include data collection and processing, machine learning (including classification and clustering), statistical estimation and inference methods, and case studies.

DSAA 1001 - Introduction to Data Science and Analytics (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6596)	MoWe 10:30AM - 11:50AM	Rm 134, E1	LI, Lei WANG, Wei ZHANG, Yongqi	70	0	70	0
LA01 (6597)	Mo 12:00PM - 12:50PM	Rm 134, E1	LI, Lei WANG, Wei ZHANG, Yongqi	70	0	70	0

COURSE INFO

DESCRIPTION	In this course, the concepts and implementation schemes in advanced database management systems for data science applications will be introduced, such as disk and memory management, advanced access methods, implementation of relational operators, query processing and optimization, transactions and concurrency control. It also introduces emerging database related techniques for data science.

DSAA 5012 - Advanced Database Management for Data Science (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6170)	Fr 01:30PM - 04:20PM	Rm 101, E1	LI, Lei	80 Quota/Enrol/Avail DSA Students: 70/0/70	0	80	0

COURSE INFO

PREVIOUS CODE	IIMP 6010
DESCRIPTION	This course focuses on using various approaches to perform quantitative analysis through real-world examples. Students will learn how to use different tools in an interdisciplinary project and how to acquire new skills on their own. The course offers different modules that are multidisciplinary/multifunctional and generally applicable to a wide class of problems. May be graded PP.

UCMP 6010 - Cross-disciplinary Research Methods I (2 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6706)	TBA	TBA	CHI, Jinshu CUI, Ying HU, Pengcheng LI, Lei SHEN, Yang TAN, Chee Keong YUE, Liang ZHAO, Hang ZHAO, Wufan	350	0	350	0