Applications of Linear Algebra Part 1 - Davidson College



Wichtige informationen

  • Kurs
  • Online
  • Wann:
    Freie Auswahl

Learn to use linear algebra in computer graphics by making images disappear in an animation or creating a mosaic or fractal and in data mining to measure similarities between movies, songs, or friends.  With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

Wichtige informationen

Voraussetzungen: None.


Wo und wann

Beginn Lage
Freie Auswahl

Was lernen Sie in diesem Kurs?

Computer Science
Linear Algebra
3D printing


From simulating complex phenomenon on supercomputers to storing the coordinates needed in modern 3D printing, data is a huge and growing part of our world. A major tool to manipulate and study this data is linear algebra. This course is part 1 of a 2-part course.  In this part, we’ll learn basics of matrix algebra with an emphasis on application.  This class has a focus on computer graphics while also containing examples in data mining. We’ll learn to make an image transparent, fade from one image to another, and rotate a 3D wireframe model.  We’ll also mine data; for example, we will find similar movies that one might enjoy seeing. In the topic of sports ranking, we’ll be ready to participate in March Madness and submit our own mathematically generated brackets to compete against millions of others.  The lectures are developed to encourage you to explore and create your own ideas either through your own programming but also with online tools developed for the course.  Come to this course ready to investigate your own ideas.

Zusätzliche Informationen

Tim Chartier Professor, Department of Mathematics and Computer Science   Associate Professor of Mathematics and Computer Science at Davidson College, Dr. Tim Chartier specializes in applied linear algebra in the fields of data analytics and partial differential equations.  In January 2014, he was named the inaugural Math Ambassador for the Mathematical Association of America, an organization that also recognized Dr. Chartier's ability to communicate math with a national teaching award. His research and scholarship were recognized with an Alfred P. Sloan Research Fellowship. Published by Princeton University Press, Tim wrote Math Bytes: Google Bombs, Chocolate-Covered Pi, and Other Cool Bits in Computing and coauthored the textbook Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms.