| |
Jan 28, 2025
|
|
|
|
|
CSCI 4730 - Material Informatics and Data Science
Introduction to data science and machine learning, with case studies in discovery of structure-property relationships and new materials from experimental and computational data. Brief review of required background in linear algebra and statistics with hands-on exercises in Python. Data science topics: model fitting, clustering, dimensionality reduction, ontologies, Bayesian inference, and design of experiments.
Prerequisites/Corequisites: ENGR 2600, or equivalent
When Offered: Fall term, even years
Cross Listed: MTLE 4730 and MTLE 6730 . Students can only earn credit for one of these courses.
Co-Listed: CSCI 6730
Credit Hours: 3
Add to Portfolio (opens a new window)
|
|
