Undergraduate Statistics
Undergraduate Statistics
2025 Fall Term
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INTRODUCTION TO STATISTICAL REASONING AND ANALYSIS
STAT 230
A course on the principles, procedures, and concepts surrounding the production, summarization, and analysis of data. Emphasis on critical reasoning and interpretation of statistical results. Content includes: probability, sampling, and research design; statistical inference, modeling, and computing; practical application culminating in a research project.
INTRODUCTION TO R
STAT 263
This course will cover basic topics in R, a statistical computing framework. Topics include writing R functions, manipulating data in R, accessing R packages, creating graphs, and calculating basic summary statistics.
APPLIED STATISTICS
STAT 342
This course will cover the basics of statistical testing, regression analysis, experimental design, analysis of variance, and the use of computers to analyze statistical problems. This course contains a writing component.
APPLIED REGRESSION ANALYSIS
STAT 420
This is a second course in regression analysis and its applications. Topics include correlation, simple and multiple linear regression, logistic regression, model assumptions, inference of regression parameters, regression diagnostics and remedial measures, categorical predictors, interaction effects of predictors, multicollinearity, and model selection. Real data are emphasized and analyzed using statistical software.
STATISTICAL LEARNING FOR DATA SCIENCE
STAT 440
This course introduces the core statistical concepts for machine learning, including both supervised and unsupervised learning. Topics include classification, regression, clustering, and dimensionality reduction, with particular emphasis on the underlying mathematical principles. Practical implementation using Python is included, along with essential skills in data preprocessing, cleaning, and transformation to address real-world data challenges. By the end of the course, students will be able to analyze data sets, build predictive statistical models, and evaluate their performance.