Data Analysis IV

Catalog description

This course will explore advanced statistical learning methods for analyzing complex data, including statistical optimization, multi-level models, random processes, neural computing, Bayesian methods, and alternative learning strategies. The course will require significant involvement from the students in terms of highly computationally-oriented homework and project participation. Credit Hour s : 3 Prerequisites: STAT 8330