SHU, Yao - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Fall 2024-25 Summer 2024-25 Spring 2021-22 Winter
2025-26 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 MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

PRE-REQUISITE	UFUG 2601 OR UFUG 2602
DESCRIPTION	This course aims to teach the students to program with Python and use Python to develop fundamental Artificial Intelligence (AI) applications. AI-oriented as well as generic programming concepts and skills will be taught in Python language. Key topics include fundamental Python features, principles, and syntax; programming in Python for numerical computation with efficient arrays and matrix classes; programming in Python for scientific analysis with widely adopted scientific libraries; fundamental development of Python web crawler for data collection; data processing and analysis with Python; machine learning model building and evaluation in Python; fundamental usage of deep learning frameworks. Students will practice programming skills for AI and get familiar with the overall workflow on building AI systems as a team through the course project. Through the course, students will be able to understand programming principles for AI research and development and master the skills to build simple AI applications to solve practical problems.

PRE-REQUISITE

UFUG 2601 OR UFUG 2602

DESCRIPTION

This course aims to teach the students to program with Python and use Python to develop fundamental Artificial Intelligence (AI) applications. AI-oriented as well as generic programming concepts and skills will be taught in Python language. Key topics include fundamental Python features, principles, and syntax; programming in Python for numerical computation with efficient arrays and matrix classes; programming in Python for scientific analysis with widely adopted scientific libraries; fundamental development of Python web crawler for data collection; data processing and analysis with Python; machine learning model building and evaluation in Python; fundamental usage of deep learning frameworks. Students will practice programming skills for AI and get familiar with the overall workflow on building AI systems as a team through the course project. Through the course, students will be able to understand programming principles for AI research and development and master the skills to build simple AI applications to solve practical problems.

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

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L02 (6369)	Tu 09:00AM - 11:50AM	Rm 148, E1	SHU, Yao	50	49	1	0