YUAN, Zixuan - 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

VECTOR	[3-0-0:3]
DESCRIPTION	This course covers the fundamentals of machine learning and artificial intelligence, and their applications in computer vision, image processing, natural language processing, and robotics. The topics include major learning paradigms (supervised learning, unsupervised learning and reinforcement learning), learning models (such as neural networks, Bayesian classification, clustering, kernels, feature extraction), and other problem solving techniques (such as heuristic search, constraint satisfaction solvers and knowledge-based systems) in AI.

VECTOR

[3-0-0:3]

DESCRIPTION

This course covers the fundamentals of machine learning and artificial intelligence, and their applications in computer vision, image processing, natural language processing, and robotics. The topics include major learning paradigms (supervised learning, unsupervised learning and reinforcement learning), learning models (such as neural networks, Bayesian classification, clustering, kernels, feature extraction), and other problem solving techniques (such as heuristic search, constraint satisfaction solvers and knowledge-based systems) in AI.

FTEC 5050 - Machine Learning and Artificial Intelligence (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6189)	Fr 01:30PM - 04:20PM	Rm 228, E2	CHEN, Jian PENG, Zifan YUAN, Zixuan	50	37	13	0

COURSE INFO

EXCLUSION	UFUG 1105
DESCRIPTION	This is the first of a year-long sequence of two introductory courses in one-variable calculus, intended for first year undergraduate students. The emphasis is on the understanding of foundational concepts and practical skills in applying calculus, which are essential for their future study in various fields. Topics include approximation, continuity, limit, differentiation, high order approximations and differentiation, and applications to optimization, monotonicity, and convexity.

EXCLUSION

UFUG 1105

DESCRIPTION

This is the first of a year-long sequence of two introductory courses in one-variable calculus, intended for first year undergraduate students. The emphasis is on the understanding of foundational concepts and practical skills in applying calculus, which are essential for their future study in various fields. Topics include approximation, continuity, limit, differentiation, high order approximations and differentiation, and applications to optimization, monotonicity, and convexity.

UFUG 1102 - Calculus I (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6441)	MoWe 09:00AM - 10:20AM	Rm 102, E1	YUAN, Zixuan	36	35	1	0