WANG, Wei - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Summer 2025-26 Spring 2025-26 Winter 2025-26 Fall
2025-26 Summer
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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Notes & Links
This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

AIAA BSBE CNGF DLED DSAA FUNH IPEN MSSM ROAS SMMG 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 (6008)	15-JUN-2026 - 28-JUL-2026 TuTh 09:00AM - 11:50AM	Rm 101, E1	LI, Lei WANG, Wei ZHANG, Yongqi	80	0	80	0	> Add/Drop Deadline: 18 June 2026
LA01 (6009)	15-JUN-2026 - 28-JUL-2026 TuTh 06:00PM - 06:50PM	Rm 101, E1	LI, Lei WANG, Wei ZHANG, Yongqi	80	0	80	0

COURSE INFO

PRE-REQUISITE	(DSAA 2011 or DSAA 2012 or AIAA 3111) AND (UFUG 2106 or DSAA 2088)
DESCRIPTION	This course provides a cohesive introduction to statistical machine learning and scalable data analysis. Students will develop intuition for learning theory, modern predictive modeling, and algorithmic techniques for working with large datasets. Balancing fundamentals with applied methodology, the course connects theory, algorithms, and systems considerations to support reliable learning at scale. Assessments include a midterm and final exam, with hands-on components that reinforce conceptual understanding and practical skills.

PRE-REQUISITE

(DSAA 2011 or DSAA 2012 or AIAA 3111) AND (UFUG 2106 or DSAA 2088)

DESCRIPTION

This course provides a cohesive introduction to statistical machine learning and scalable data analysis. Students will develop intuition for learning theory, modern predictive modeling, and algorithmic techniques for working with large datasets. Balancing fundamentals with applied methodology, the course connects theory, algorithms, and systems considerations to support reliable learning at scale. Assessments include a midterm and final exam, with hands-on components that reinforce conceptual understanding and practical skills.

DSAA 3073 - Theories in Data Science (4 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6014)	15-JUN-2026 - 27-JUL-2026 MoWe 10:30AM - 01:20PM	Rm 222, W1	WANG, Wei	40	0	40	0	> Add/Drop Deadline: 17 June 2026
T01 (6015)	15-JUN-2026 - 27-JUL-2026 MoWe 06:00PM - 06:50PM	Rm 222, W1	WANG, Wei	40	0	40	0