XU, Kewei - 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 MOES MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

DESCRIPTION	Technological innovation is increasingly the source of sustainable competitive advantage for firms worldwide. This course introduces a grounding in the field of technology and innovation, with an emphasis on economic policy and business strategy. The course will be highly interactive and apply multiple disciplines including economics, management, law and public policy.

IPEN 5150 - Policy Analysis for Technology and Innovation (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6422)	Tu 01:30PM - 04:20PM	Rm 122, E1	XU, Kewei	70	60	10	0

COURSE INFO

DESCRIPTION	This course serves as an applied introduction to machine learning methods for text analysis. Several approaches on text data management and analysis will be covered in this course including basic natural language processing techniques, document representation, text categorization and clustering, document summarization, sentiment analysis, social network and social media analysis, probabilistic topic models and text visualization.

DESCRIPTION

This course serves as an applied introduction to machine learning methods for text analysis. Several approaches on text data management and analysis will be covered in this course including basic natural language processing techniques, document representation, text categorization and clustering, document summarization, sentiment analysis, social network and social media analysis, probabilistic topic models and text visualization.

IPEN 5250 - Text Analysis and Machine Learning (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6425)	We 01:30PM - 04:20PM	Lecture Hall C	XU, Kewei	40	24	16	0

COURSE INFO

DESCRIPTION	This course consists of 6 credits and will last for two regular terms. In the first term, students learn and integrate the latest technology topics through seminars,lectures, and workshops. After completing four micro-policy analysis reports, students can familiarize themselves with technology policy hot spots and policy analysis tools, as well as the cooperation skills and role division among the groups. In the second term, they will complete group projects on selected topics for science and technology policy under the supervision offaculty members. The participation of the university’s internal community and external organizations in these projects will be highly encouraged. The university will be responsible for the control, management and evaluation of the project. Students will exercise their teamwork skills, analyze science and technology policy issues and develop concise reports of their findings and recommendations. They should write the paper acting as an assistant to a particular decision-maker in a government, nonprofit organization, business or private sector. This course is for MSc(TP) students only. May be graded PP.

DESCRIPTION

This course consists of 6 credits and will last for two regular terms. In the first term, students learn and integrate the latest technology topics through seminars,lectures, and workshops. After completing four micro-policy analysis reports, students can familiarize themselves with technology policy hot spots and policy analysis tools, as well as the cooperation skills and role division among the groups. In the second term, they will complete group projects on selected topics for science and technology policy under the supervision offaculty members. The participation of the university’s internal community and external organizations in these projects will be highly encouraged. The university will be responsible for the control, management and evaluation of the project. Students will exercise their teamwork skills, analyze science and technology policy issues and develop concise reports of their findings and recommendations. They should write the paper acting as an assistant to a particular decision-maker in a government, nonprofit organization, business or private sector. This course is for MSc(TP) students only. May be graded PP.

IPEN 6110 - Capstone Project (6 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6448)	Fr 06:00PM - 08:50PM	Rm 101, E4	HOU, Yun XU, Kewei	46	39	7	0