Notice: For the latest information and guidance on Purdue's response to COVID-19 please visit: https://coronavirus.purdue.edu/students

Boltzmann Law: Physics to Machine Learning

ECE59500

Credit Hours:

1

Start Date:

November 4, 2020

Learning Objective:

This course is part of a Purdue initiative that aims to complement the expertise that students develop with the breadth at the edges needed to work effectively in today's multidisciplinary environment. These serious short courses require few prerequisites and provide a general framework that can be filled in with self-study when needed.

Description:

Key concepts of statistical mechanics, self-consistent field method for interacting systems, Boltzmann machines

Topics Covered:

Key concepts of statistical mechanics, self-consistent field method for interacting systems, Boltzmann machines

Prerequisites:

Undergraduate degree in engineering or the sciences, specifically differential equations and linear algebra.

Applied / Theory:

10 / 90

Homework:

No homework

Projects:

No projects

Exams:

2 exams

Textbooks:

Datta, Lessons from Nanoelectronics, Part A: Basic Concepts (LNE A) Can be downloaded from course website

Computer Requirements:

ProEd minimum Requirements

ProEd Minimum Requirements:

view

Tuition & Fees:

view