Data Science for a Living Planet

Undergraduate

The application of data science in biology, ecology, environmental, health sciences and other disciplines. Curating data, creating plots, tables, and maps (GIS), and production of reproducible research using R/RStudio software are emphasized. Analyses include understanding and interpreting life sciences experimental and observational data for scientific communications. An introduction to general linear models (e.g. regression, ANOVA, mixed models) is provided. Biology Majors may use BIOL 3383 to either fulfill the Biology Core or as credit toward the 3000-4000 level requirement, but not both. Prerequisite(s): MATH 2223, MATH 2243, or MATH 2253.