Land on Vector Spaces with Python

Add to Favourites
1 1 1 1 1
Price: 6723 EUR 6723 EUR
Contact George Washington University

More details about the program

Description

This is the fourth module in Engineering Computations (EngComp4), applying Python and core numerical libraries (NumPy, SymPy, Matplotlib) to explore the foundations of linear algebra, with a geometrical and practical approach. You learn to view matrices as linear transformations of vectors, and develop intuition about their role in linear systems of equations. Playing with transformations, you understand eigenvalues and eigenvectors, and discover matrix decomposition. We use Python to compute all the eigenthings and apply them to population models in ecology, Markov Chains, and the Google Page Rank algorithm. You learn about singular-value decomposition and its application to image compression, least squares problems, and linear regression. The target audience is second-year science and engineering students, with minimal background in linear algebra through a first college course or even high-school mathematics.

Specific details

Category of Education Technology and Engineering

Comments (0)

There are no comments posted here yet

Leave your comments

Search

Related Programs

We increasingly depend on reliable and affordable ...
The Master's Program covers research and education ...
Have you ever wondered why ceramics are hard and b ...
This is is a dynamic and growing field based upon ...

 

©2023 EDUCOM NET. All Rights Reserved.

If you find an inaccuracy or you have comments on the description of the university or program - please let us know info@educom.net