Linear Algebra Demystified
Jonathan Pottharst Harvard Doctoral Math Student, Vikash Mansinghka
Mon-Fri, Jan 12-15, 20-23, 03-05:00pm, 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
Explores the conceptual tools required to understand linear algebra and to apply them to engineering problems. Emphasizes conceptual precision and visual intuition; aims to make meaning of matrices clear and intuitive. Topics include linear maps as matrices, invertibility, eigen-stuff, geometry, least squares approximations and linear systems analysis.
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
Latest update: 31-Oct-2003
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