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Informatics and Computing
Description: Matrix-based coverage of linear statistical models for independent data from frequentist and Bayesian perspectives, including regression, analysis of variance (ANOVA), estimation, testing, selection, diagnostics, and associated random variables and probability distributions. Letter grade only.
Units: 3
Sections offered: Spring 2025 Fall 2025
Prerequisite: Admission to Informatics and Computing PhD, Informatics and Computing MS, Computer Science MS, or Electrical Engineering MS
Informatics and Computing
Term : Spring 2025
Catalog Year : 2024-2025
INF 511 - Modern Regression I
Description: Matrix-based coverage of linear statistical models for independent data from frequentist and Bayesian perspectives, including regression, analysis of variance (ANOVA), estimation, testing, selection, diagnostics, and associated random variables and probability distributions. Letter grade only.
Units: 3
Sections offered: Spring 2025 Fall 2025
Prerequisite: Admission to Informatics and Computing PhD, Informatics and Computing MS, Computer Science MS, or Electrical Engineering MS