Autumn 2020
Meeting:
MWF 1:30pm - 2:20pm / * *
SLN:
23629
Section Type:
Lecture
Joint Sections:
CHEM 541 B , MSE 477 A , CHEM 441 A , MSE 542 A
Instructors:
Ting Cao
Luna Huang
COURSE PREREQUISITES ARE NOT
REQUIRED. IF YOU EXPERIENCE
REGISTRATION PROBLEMS, CONTACT
ADVISERS@CHEM.WASHINGTON.EDU TO
BE ADDED
--------------------
OFFERED VIA REMOTE LEARNING
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; and some experience with Python helpful. Offered: jointly with MSE 542; A.
Credits:
3.0
Status:
Active
Last updated:
December 30, 2024 - 7:20 am