Introduction to data modeling and the R language programming. Multi-factor linear regression modeling.
Residual analysis and model quality evaluation. Response prediction. Training and testing. Integral lab.
An introductory course in probability and statistics is suggested but not required; basic programming skills in some high-level programming language, such as C/C++, Java, Fortran, etc also suggested.
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Spring 2025 provided by the University in response to a public records request