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Apr 25, 2025
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2024-2025 Graduate Catalog
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EAS 594LEC - Special Topics MDI Fall 2016: This course introduces students to statistical ideas that are important in learning about materials and their properties. Topics to be covered include: regression, clustering, classification, and inference; Bayes Theorem; Gaussian Processes and neural networks. Exercises and examples will be drawn from chemical, physics, and materials datasets. Students will develop a facility for elementary statistical analysis of data relevant to material scientists; students will become proficient in writing computer code to analyze datasets; students will learn how to draw inferences from an analysis of datasets. Credits: 3
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