LI, Yuheng - 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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COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	Machine learning (ML) has become one of the most useful and important tools in scientific research. This course provides the fundamentals and useful insight into where ML could have the greatest impact for the students dedicated to energy materials research. The lectures provide example methods for ML applied to experiments and simulations, covering the early stages of building an ML solution for a materials science problem, the issue of how to build more robust models, the use of ML to accelerate or augment simulations, how ML is applied to analyze and process experimental data, and how ML can be used in the discovery of new energy materials on computers.

VECTOR

[3-0-0:3]

DESCRIPTION

Machine learning (ML) has become one of the most useful and important tools in scientific research. This course provides the fundamentals and useful insight into where ML could have the greatest impact for the students dedicated to energy materials research. The lectures provide example methods for ML applied to experiments and simulations, covering the early stages of building an ML solution for a materials science problem, the issue of how to build more robust models, the use of ML to accelerate or augment simulations, how ML is applied to analyze and process experimental data, and how ML can be used in the discovery of new energy materials on computers.

SEEN 6001A - Machine Learning for Energy Materials (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6262)	Tu 01:30PM - 04:20PM	Maker Space W1-421H	LI, Yuheng	20	13	7	0