Statistics (STAT)

STAT 480G    Advanced Statistical Data Analysis    3 Hours

A comprehensive introduction to statistical techniques widely used in data analysis, machine learning, and big data applications. Using statistical reasoning and computational tools to explore, visualize, and interpret data, with a focus on real-world applications. An emphasis on both the theoretical understanding and practical implementation of statistical methods in the context of data science. Topics include regression analysis, classification, clustering, etc.

Recent Term(s) Offered: None

STAT 549    Statistical Methods I    3 Hours

Principles of applied statistical research. Elements of data collection and experimental design. Parametric and nonparametric methods for analyzing interval, ordinal and categorical data, including confidence intervals and hypothesis testing, single factor ANOVA, simple and multiple linear regression and correlation. Emphasis will be placed on analyzing real data.

Prerequisite(s): permission of instructor

Recent Term(s) Offered: fall 2024; fall 2026

STAT 550    Statistical Methods II    3 Hours

Continuation of STAT 549. Topics include multiple linear regression, generalized linear model, two-way ANOVA and more general factorial design, block and nested design, mixed and random effect models, analysis of covariance. Emphasis on analyzing real data using statistical software packages, such as SAS, SPSS, or R.

Prerequisite(s): STAT 549 with a minimum grade of B or permission of instructor

Recent Term(s) Offered: None