CHEM 441 A: Data Science and Materials Informatics

Autumn 2022
Meeting:
MW 8:30am - 9:50am / AND 223
SLN:
12599
Section Type:
Lecture
Joint Sections:
MSE 542 A , CHEM 541 A , CHEM 541 B , MSE 477 A
Instructors:
Ting Cao
Luna Huang
COURSE PREREQUISITES ARE NOT REQUIRED. IF YOU EXPERIENCE REGISTRATION PROBLEMS, CONTACT ADVISERS@CHEM.WASHINGTON.EDU TO BE ADDED
Catalog Description:
Introduction to data science approaches and their applications to materials science research. Basic skills in data mining, data processing, and machine learning for materials research topics using Python taught through case studies and other methodologies. Recommended: prior programming experience; some experience with Python helpful. Offered: jointly with MSE 477; A.
Credits:
3.0
Status:
Active
Last updated:
April 18, 2024 - 10:59 am