Linear Systems Demystified
Ruby Pai, Kazutaka Takahashi
Mon-Fri, Jan 17-21, 24-26, 01-03:00pm, 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 systems; one linear systems course.
Explores the fundamental conceptual and mathematical tools required to understand and engineer linear systems Specific topics include Fourier/Laplace analysis of signals and systems, sampling and elements of control. Each class will consist of a mini-lecture followed by a problem-solving session. This course is intended for students who have taken one of 6.003, 2.004, Unified, or the like, and would like to review the material, having discovered they need a deeper understanding for signal processing, control, etc.
Sponsored by Tau Beta Pi and EECS.
Web: http://web.mit.edu/tbp/www/tbp-teach
Contact: Ruby Pai, tbp-linear-systems@mit.edu
Sponsor: Electrical Engineering and Computer Science
Latest update: 04-Jan-2005
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