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IAP 2006 Activities by Sponsor

Tau Beta Pi

Basic Analog Circuits -- What You Really Need to Know
Siddharth Sundar
Mon-Fri, Jan 17-20, 23-26, 02-04:00pm, TBD

No limit but advance sign up required (see contact below)
Signup by: 13-Jan-2006
Participants requested to attend all sessions (non-series)
Prereq: 6.002; plans to take 6.012,6.101,6.115, or 6.301 this spring

Subject will meet in 34-302.

Not sure you got everything from 6.002 that you'll need in 6.012 or the EE labs? Do circuits still scare you? Will review the essentials and cover:

  • Nodal Analysis, Dependent and Independent Sources
  • Resistors, Capacitors, Inductors, Diodes
  • Large and Small Signal Models
  • Amplifiers
  • High-Level Device Physics

Will emphasize physical intuition and understanding circuit diagrams. Will involve short lectures, worked examples and one to two hours of homework per session.
Web: http://web.mit.edu/tbp/www/tbp-teach
Contact: Siddharth Sundar, ssundar@mit.edu
Cosponsor: Electrical Engineering and Computer Science

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
Cosponsor: Electrical Engineering and Computer Science


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Last update: 30 September 2004