# Material Informatics & Data

## MTLE-4730

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.

3 credits
Cross-listed with:
MTLE-6730 Material Informatics And Data
Prereqs:
ENGR-2600 Modeling & Analysis Uncertaint

# Past Term Data
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Offered as Cross-Listing Only
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| Spring | Summer | Fall
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2024

Material Informatics & Data (3c)

- Ravishankar Sundararaman

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