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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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 01:30PM - 04:20PM	Rm 102, W4	TANG, Guoming	80 Quota/Enrol/Avail DSA Students: 60/0/60	0	80	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 134, E1	TANG, Guoming WANG, Wei	30	0	30	0	> Experimental Class