MDI 404LEC - Statistical Principles of Materials Informatics

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. 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

Grading
Graded (GRD)

Typically Offered:
Fall

Requisites:
Pre-Requisites: MDI 312, MTH 306, MTH 309