CHEN, Huangxun - 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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AIAA BSBE CNGF DLED DSAA FUNH IPEN MSSM ROAS SMMG UCUG UFUG UGOD

COURSE INFO

PRE-REQUISITE	UFUG 2601 OR UFUG 2602
DESCRIPTION	This undergraduate course provides a solid foundation in Python programming tailored for artificial intelligence applications. It begins with core Python concepts, including data types, control flow, functions, and object-oriented programming. Students then explore machine learning essentials using NumPy, Matplotlib, and scikit-learn for scientific computing, visualization, and implementing basic supervised and unsupervised models. The course further introduces deep learning with PyTorch, covering neural networks, optimization, transformers, large language models (LLMs), and AI agents. A distinctive module focuses on programming with AI, examining AI coding copilots, their workflows, practical strengths and limitations, and how to collaborate effectively with these tools. The course concludes with a final capstone project in which students design, implement, and present a substantial AI application, demonstrating their ability to apply Python both to build AI systems and to leverage AI tools in modern development.

PRE-REQUISITE

UFUG 2601 OR UFUG 2602

DESCRIPTION

This undergraduate course provides a solid foundation in Python programming tailored for artificial intelligence applications. It begins with core Python concepts, including data types, control flow, functions, and object-oriented programming. Students then explore machine learning essentials using NumPy, Matplotlib, and scikit-learn for scientific computing, visualization, and implementing basic supervised and unsupervised models. The course further introduces deep learning with PyTorch, covering neural networks, optimization, transformers, large language models (LLMs), and AI agents. A distinctive module focuses on programming with AI, examining AI coding copilots, their workflows, practical strengths and limitations, and how to collaborate effectively with these tools. The course concludes with a final capstone project in which students design, implement, and present a substantial AI application, demonstrating their ability to apply Python both to build AI systems and to leverage AI tools in modern development.

AIAA 3102 - Python Programming with Artificial Intelligence (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6024)	15-JUN-2026 - 27-JUL-2026 MoWe 09:00AM - 11:50AM	Rm 202, W4	CHEN, Huangxun	40	0	40	0	> Add/Drop Deadline: 17 June 2026