TANG, Guoming - 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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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	Cloud computing provides the foundation for modern large-scale systems, while recent advances in AI, especially LLMs, are reshaping how such systems are executed and managed. This course studies AI infrastructure from a systems perspective, focusing on how cloud systems support AI workloads. By treating AI as a new class of workload, the course examines how system abstractions evolve to accommodate GPU-centric, stateful, and performance-critical environments. In particular, this course uses a unified framework of AI infrastructure along four key dimensions: execution, state, resource, and optimization. Through this structured perspective, students will learn how classical system principles extend to modern AI systems and will be prepared to analyze and design next-generation AI infrastructure.

DESCRIPTION

Cloud computing provides the foundation for modern large-scale systems, while recent advances in AI, especially LLMs, are reshaping how such systems are executed and managed. This course studies AI infrastructure from a systems perspective, focusing on how cloud systems support AI workloads. By treating AI as a new class of workload, the course examines how system abstractions evolve to accommodate GPU-centric, stateful, and performance-critical environments. In particular, this course uses a unified framework of AI infrastructure along four key dimensions: execution, state, resource, and optimization. Through this structured perspective, students will learn how classical system principles extend to modern AI systems and will be prepared to analyze and design next-generation AI infrastructure.

DSAA 6000T - Cloud and AI Infrastructure Systems (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6732)	Th 10:00AM - 12:50PM	Lecture Hall B	TANG, Guoming	100	81	19	0

[Matching between Lecture & Lab required]

COURSE INFO

DESCRIPTION	This course introduces students to the world of computer science, data analysis, and artificial intelligence. Through a series of lectures and hands-on exercises, students will learn the basics of each of these disciplines, and how they can be used to solve real-world problems. It will cover the following topics: an introduction to computer science, including an overview of its principles and concepts; the basics of data analysis, including methods for collecting, organizing, and analyzing data; an introduction to artificial intelligence, including an exploration of its various applications and capabilities; and an examination of how computer science, data analysis, and artificial intelligence can be used in combination to solve real-world problems. Upon completion of this course, students will have a strong foundation on which to build more advanced knowledge in these exciting fields.

DESCRIPTION

This course introduces students to the world of computer science, data analysis, and artificial intelligence. Through a series of lectures and hands-on exercises, students will learn the basics of each of these disciplines, and how they can be used to solve real-world problems. It will cover the following topics: an introduction to computer science, including an overview of its principles and concepts; the basics of data analysis, including methods for collecting, organizing, and analyzing data; an introduction to artificial intelligence, including an exploration of its various applications and capabilities; and an examination of how computer science, data analysis, and artificial intelligence can be used in combination to solve real-world problems. Upon completion of this course, students will have a strong foundation on which to build more advanced knowledge in these exciting fields.

UFUG 1601 - Introduction to Computer Science (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6670)	Tu 03:00PM - 05:50PM	Rm 149, E1	TANG, Guoming WANG, Wei	33	33	0	0	> Experimental Class