Modeling for Prediction

This course provides an overview of the modeling and prediction process, including definition of goals for prediction, effective data preparation, algorithms, modeling methods and verification/validation. Students will learn iterative refinement of models based on a project in their special interest area.
Prerequisites: EN 102, COM 101, CS 201 or CS 202, MA 210, and MA 331