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(Sep 9th)
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== News ==
== News ==
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=== September 9th ===
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The slides (missing from lecture today) will be available here soon.
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There will be no recitations this week.
==== Mega-recitations ====
==== Mega-recitations ====

Revision as of 15:17, 9 September 2009

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This is the site for 6.034 Artificial Intelligence, with Professor Patrick Winston.

Contents

News

September 9th

The slides (missing from lecture today) will be available here soon.

There will be no recitations this week.

Mega-recitations

Mega-recitations occur on Fridays at 10 AM, the same time slot that is occupied by lectures on Mondays and Wednesdays.

The first mega-recitation, on Friday, September 11th, will be a refresher on the Python programming language.

Times and places of recitations and tutorials

We will ask you to fill out tutorial scheduling forms during the first lecture; if you are not able to fill out those forms during the first lecture, pick up spare copies outside of 32-251 and leave them at 32-251 as soon as possible. You will learn which tutorial you are in by email.

Unexpectedly, the registrar supplied us with recitation time slots we can live with, so attend at the time and place you were assigned.

Python

The official language of 6.034 is Python for a variety of reasons having little to do with the strengths and weaknesses of the language. We expect a focused weekend with any of the many Python books would be adequate preparation. See, for example, the Amazon list.

Alternatively, you can follow one of the suggestions of Rob Speer, head 6.034 TA in 2008:

  • Dive into Python is a well-recommended book that is available online. It's written for experienced programmers who just don't know Python yet. It's meant to quickly take what you already know about other languages and explain how Python does them.
  • At the other end of the spectrum, the text that was used in 6.00 has been expanded into one called Think Python. It's online. It is targeted at people who have not programmed much or at all.
  • In the middle is the O'Reilly book Learning Python. MIT has a subscription to O'Reilly, so anyone with an MIT IP address can read the book online.
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