MA237
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Statistical Methods I
Course Subject Code
MA
Course Number
237
Course Long Title
Statistical Methods I
Status
Active
Division
Natural Sciences
Department
Unit(s)
1
Schedule Type
Block Seminar
Instruction Mode
Traditional
Grade Modes
Letter Grades, S/CR/NC, Audit
Course Attributes
CLFR, CLSA
Course Description
Covers statistical methods for learning from data beyond those typically learned in introductory courses. Emphasis on statistical modeling, including multiple linear regression, classification models, and other methods for supervised learning and statistical inference. Additional techniques include non-parametric methods, bootstrap estimation, and analysis of model fit via cross-validation. Includes a strong computational component and will make use of the statistical programing language R for data analysis and simulations.