Tim Chartier

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. Tim fields mathematical questions for the Sports Science program on ESPN, and has also been a resource for a variety of media inquiries, which include appearances with NPR, the CBS Evening News, USA Today, and The New York Times.
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Applications of Linear Algebra Part 1 (edX) EdX
Davidson College,DavidsonX

Applications of Linear Algebra Part 1 (edX)

Embark on a journey into the real-world applications of Linear Algebra with 'Applications of Linear Algebra Part 1'. This course will equip you with practical skills to apply linear algebra concepts in various domains such as computer graphics, data mining, and more. From creating mesmerizing animations where images seemingly disappear to analyzing similarities between complex datasets like movies or friendships, this course is designed for learners who want to see the tangible impact of linear algebra in today's digital world.

No sessions available
4 Weeks
Applications of Linear Algebra Part 2 (edX) EdX
Davidson College,DavidsonX

Applications of Linear Algebra Part 2 (edX)

Expand your understanding of linear algebra and its practical applications in the real world. This second part of a two-part series delves into complex topics like search engine algorithms, movie genre clustering, and image processing through computer graphics. Perfect for data enthusiasts and professionals seeking to harness the power of linear algebra.

No sessions available
4 Weeks
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