MAT 555E - Statistical Data Analysis for Computational Sciences

Course Objectives

The course will harmonize statistical theory and data analysis through examples. This course is designed such that:
- To provide mathematical, statistical, and computational concepts behind supervised and unsupervised statistical learning methods and algorithms for inference and prediction.
- To provide extensions of these methods to high-dimensional settings.
- To provide the applications of these methods in real life data sets.
- To provide the implementation of these methods in Python.

Course Description

MAT555E is a graduate level course which aims to provide an introduction to commonly used statistical methods for inference and prediction problems in data analysis. The course will harmonize statistical theory and data analysis through examples.