ENGS 107 Bayesian Statistical Modeling and Computation

This course will introduce Bayesian approaches to statistical modeling as well as the computational methods necessary to implement these approaches in research and applications. We will cover methods of statistical learning and inference for a variety of subject areas. Students will have the opportunity to apply these concepts and methods in the context of their own research or area of application in the form of a term project.

Prerequisite

ENGS 93 or comparable course in probability and statistics; previous programming experience with Matlab, C, S, R, Julia, or similar language. (MATH 71/COSC 71, ENGS 91, COSC 70/COSC 170 are examples for appropriate ways to fulfill the programming requirement.) , or permission of the instructor.