Linear Algebra Demystified
Jonathan Pottharst (Harvard Doctoral Math Student), Vikash Mansinghka
Mon Jan 23, Tue Jan 24, Thu Jan 26, Fri Jan 27, 05-07:00pm, 34-301
Enrollment limited: first come, first served
Limited to 30 participants.
Participants requested to attend all sessions (non-series)
Prereq: Desire to master linear algebra; some classroom exposure
This non-credit class explores conceptual tools required to understand linear algebra and apply it to engineering problems. It will focus on conceptual precision and visual intuition, aiming to make the meaning of matrices intuitive. Topics include linear maps as matrices, invertibility, eigen-stuff, geometry, least squares approximations, and linear systems analysis.
Problem sessions and lectures.
Class is centered around problem-solving tutorials, short readings and mini-lectures, with instructors circulating to answer your questions. Intended for students who have seen linear algebra through 18.06 or various engineering classes, and have discovered they need to understand it better.
Sponsored by Tau Beta Pi and the EECS Department.
Web: http://web.mit.edu/tbp/www/tbp-teach
Contact: Jonathan Pottharst, tbp-linear-algebra@mit.edu
Sponsor: Electrical Engineering and Computer Science
Cosponsor: Tau Beta Pi
Latest update: 17-Nov-2005
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