"6.270" Autonomous Robot Competition
Sean Lie
Thu Jan 29, 06-09:00pm, Kresge Main
No enrollment limit, no advance sign up
Single session event
The final rounds of the annual MIT 6.270 autonomous robot competition. Come watch 60 robots face-off against one another in an exciting double-elimination tournament.
Web: http://web.mit.edu/6.270
Contact: 6.270 Organizer, 38-600, 6.270-organizers@mit.edu
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Basic Analog Circuits -- What You Really Need to Know
Matt Park
Mon Jan 12, Wed Jan 14, Fri Jan 16, Wed Jan 21, Fri Jan 23, 11am-01:00pm, 36-156
Enrollment limited: advance sign up required (see contact below)
Signup by: 05-Jan-2004
Limited to 30 participants.
Participants requested to attend all sessions (non-series)
Prereq: 6.002; intention to take 6.012 , 6.101,6.115, or 6.301
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: Matt Park, tbp-circuits@mit.edu
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Between 6.001 and 6.170: A Gentle Introduction to Software Engineering in Java
Justin Mazzola Paluska, Vikash Mansinghka
Mon-Fri, Jan 12-16, 20-23, 11am-12:00pm, 34-302, Lab 12-2 PM, 14-0637
Enrollment limited: first come, first served
Limited to 30 participants.
Participants requested to attend all sessions (non-series)
Prereq: 6.001; NO other programming experience
Presumes only Scheme. Presents Java and software engineering fundamentals through guided programming exercises and brief, painless lectures. Topics include your first words of Java, conceptual links between Java and Scheme, the tools Java provides (and appropriate Java idioms) for organizing sofware systems, and basic debugging and debuggers. Also, build a register-machine-level computer simulator and a basic zephyr-style chat system.
Sponsored by Tau Beta Pi and the EECS Department.
Web: http://web.mit.edu/tbp/www/tbp-teach
Contact: Justin Mazzola Paluska, tbp-software-engineering@mit.edu
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Get Ready for 6.001!
Ben Vandiver, David Ziegler, Alex Vandiver
Wed Jan 14, 21, 03-05:00pm, 36-156
No enrollment limit, no advance sign up
Participants requested to attend all sessions (non-series)
Prereq: Intention to take 6.001 at some point
Planning on taking 6.001? Are you worried you don't have enough programming experience? Come hear an overview of the topics covered by 6.001, an introduction to concepts behind programming, and an introduction to the basics of scheme. Then short, simple daily Scheme exercises will be emailed to participants with solutions following a day later. These problems will provide practice and demonstrate solutions to the kinds of problems asked in 6.001. Online help will be available.
The second session will go over the solutions to the problems and explain the steps used. You'll come away with a better understanding of Scheme and what 6.001 is about.
Web: http://web.mit.edu/benmv/6.001/get-ready
Contact: Ben Vandiver, 6.001-get-ready@mit.edu
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High-Tech Start Ups
Jack M. Gill, Ph.D. Vanguard Venture Partners
Mon-Wed, Fri, Jan 5, 7, 9, 12, 14, 16, 20-21, 23, 26, 28, 10-11:30am, E56-270
Enrollment limited: advance sign up required (see contact below)
Signup by: 19-Dec-2003
Limited to 50 participants.
Participants requested to attend all sessions (non-series)
This class is designed for Science and Engineering faculty, graduate students, and upperclass undergraduates. Topics to be covered: VCs, Entrepreneurs, VC Firms; Startup Company Dynamics; Stock Options, Compensations; Financings, Cap Schemes, IPOs; Life Science Case Study; Photonics Case Study; Internet Case Study; Patents, IP, Tech Transfer; Telecom Case Study; and High-tech Career Planning.
Contact: Kathleen Sullivan, kaths@mit.edu
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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
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Linear Systems Demystified
Stephen Hou, Keith Santarelli
Mon-Fri, Jan 14-16, 20-23, 26-28, 01-03:00pm, 34-303
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 and grounds them in examples from several engineering disciplines. Our emphasis will be visual and intuitive, as we like pictures. Specific topics include Fourier/Laplace analysis of signals and systems, sampling and elements of control. The class will be centered around problem-solving tutorials, short readings and mini lectures, with several instructors circulating to answer your questions. This course is intended for students who have taken one of 6.003, 2.004, Unified, or the like, and have 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: Stephen Hou, 3-438A, tbp-linear-systems@mit.edu
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