R Programming for Science Models, Simulation, and Data Analysis

Catalog description

The Programming language R has evolved quickly into a premier tool for scientists. This course teaches R programming through examination of models, simulation, and data analysis in the sciences. Examples of exponential growth and decay took from the biological and chemical literature will provide the basis for developing R programming skills. Finally, the use of linear and non-linear regression to compare actual data with models will be examined. The course will be entirely project-based. A final project will be based on a topic of interest to the student.