Courses related to Computational statistics

PHYS-619: Many-Body Approaches to Quantum Fluids

Starting from a microscopic description, the course introduces to the physics of quantum fluids focusing on basic concepts like Bose-Einstein condensation, superfluidity, and Fermi liquid theory.

EE-575: Wave propagation along transmission lines

In this lecture, we will describe the theoretical models and computational methods for the analysis of wave propagation along transmission lines.

MGT-618: Computational research methods for social sciences

The objective of this course is to introduce doctoral students to computational methods for data-driven research in the social sciences.

MICRO-513: Signal processing for functional brain imaging

Computational methods for the analysis of human brain imaging data

MGT-644(b): Computational Methods for Doctoral Research in Management

The objective of this course is to introduce doctoral students to computational methods for data-driven empirical research in management.