TANG, Nan - HKUST Class Schedule & Quota

Class Schedule & Quota
2024-25 Summer 2024-25 Spring 2024-25 Fall 2021-22 Winter
2024-25 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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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 DSAA FUNH INFH INTR IOTA ROAS SMMG SOCH SYSH UCUG UFUG

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course delves into the foundational theories and cutting-edge advancements in large language models (LLMs). The course emphasizes LLM's application in real-world scenarios, focusing on topics such as domain-specific LLMs (e.g., continuous pretraining, SFT, and RLHF), data-intensive and document-intensive scenarios (e.g., NL2SQL RAG). Active student participation is encouraged through mini-projects, presentations, and discussions, providing hands-on experience in leveraging LLMs for real-world challenges.

VECTOR

[3-0-0:3]

DESCRIPTION

This course delves into the foundational theories and cutting-edge advancements in large language models (LLMs). The course emphasizes LLM's application in real-world scenarios, focusing on topics such as domain-specific LLMs (e.g., continuous pretraining, SFT, and RLHF), data-intensive and document-intensive scenarios (e.g., NL2SQL RAG). Active student participation is encouraged through mini-projects, presentations, and discussions, providing hands-on experience in leveraging LLMs for real-world challenges.

DSAA 6000Q - Large Language Models: Theory and Practice (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6004)	16-JUN-2025 - 07-JUL-2025 MoTuWeTh 09:00AM - 11:50AM	Rm 102, W4	TANG, Jing TANG, Nan WANG, Wei	80	0	80	0	> Add/Drop Deadline: 17 June 2025 > Extended Drop Deadline: 19 June 2025

COURSE INFO

VECTOR	[2-0-0:2]
DESCRIPTION	This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project.

VECTOR

[2-0-0:2]

DESCRIPTION

This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project.

INFH 5000 - Information Science and Technology: Essentials and Trends (2 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6001)	14-JUL-2025 - 04-AUG-2025 MoTuWeTh 09:00AM - 10:50AM	Rm 102, E4	CHEN, Huangxun TANG, Nan WANG, Xin YU, Luwen	100 Quota/Enrol/Avail For INFH students only: 10/0/10	0	100	0	> Add/Drop Deadline: 15 July 2025 > Extended Drop Deadline: 17 July 2025