This course is an introduction to topics such as predictive model building process in R; problem definition,data visualization, exploratory data analysis, identification of data issues and resolution, and initial model selection; model selection; model validation; communication of results and uncertainties; sample project and report. Three lecture hours per week plus a one hour lab per week. 07-09-2022-07-12-2022 Lecture Monday, Wednesday, Friday 12:30PM - 01:20PM, Cass Science Hall, Room 104
- Teacher: Paul Sheridan
Category: 2022F