MN4913 Advanced Model Building for Causal Inference and Prediction

This course introduces students to a range of advanced techniques for prediction and inference that can be used to solve real-world defense problems and inform policy. The first half of the course will be dedicated to developing predictive methods that can be applied in many real-world scenarios. In the second half of the course, students will be introduced to program evaluation methods.

Prerequisite

MN4912 or consent of course coordinator

Lecture Hours

3

Lab Hours

0

Course Learning Outcomes

At the end of the course, students should be able to:

·       Formulate appropriate models for different kinds of data analytic questions and data.

·       Interpret the output of their models and their limitations.

·       Execute model building in appropriate analytic software and enterprise data environments.