MATH 485AUndergraduate Research Seminar

Catalog

A one-semester introduction to the graduate-level statistics research environment. Students obtain hands-on experience in conducting a research project: reviewing the literature, formulating statistical problems motivated by scientific applications, and carrying out computational analyses using R/Python. The curriculum covers statistical modeling, simulation study design, and real-data analysis, with attention to both methodology and reproducibility. Students communicate their findings through class discussions, presentations, and a final technical report or poster. Minimum prerequisite: A grade of C or better in Math 304, Math 448, at least one of Math 455 and Math 457, and programming at the level of Math 445 or Math 446.