Labs

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(Anticipated lab release schedule: Corrected due dates for Labs 6,7)
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== Currently released labs ==
== Currently released labs ==
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* [[Lab 0]] -- due Tuesday, September 15 by '''10:00pm'''
 
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None yet
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The schedule for labs will be added to the 6.034 calendar by the weekend.
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<!--
<!--
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''Note that Lab 4 is due before Lab 3.''
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unreleased labs go here:
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* [[Lab 0]] -- due Thursday, September 11 (by 11:59pm)
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* [[Lab 0]] -- due Tuesday, September 15 by '''10:00pm'''
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* [[Lab 1]] -- due Wednesday, September 24 (by 11:59pm)
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* [[Lab 1]] -- due Thursday, September 24 by '''10:00pm'''
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* [[Lab 2]] -- due Thursday, October 2 (by 11:59pm)
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* [[Lab 2]] -- due Thursday, September 24 by '''10:00pm'''
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* [[Lab 4]] -- due Thursday, October <span style="color:#c00;">16</span> (by 11:59pm)
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* [[Lab 3]] -- due Thursday, November 5 by '''10:00pm'''
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* [[Lab 3]] -- due Thursday, October <span style="color:#c00;">30</span> (by 11:59pm)
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* [[Lab 4]] -- due Tuesday, October 27 by '''10:00pm'''
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* [[Lab 5]] -- Cancelled, but made accessible by request.
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* [[Lab 5]] -- due Thursday, October 15 by '''10:00pm'''
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* [[Lab 6]] -- due Monday, November 23 by '''10:00pm'''
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* [[Lab 7]] -- due Friday, December 4 by '''10:00pm'''
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unreleased labs go here
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* [[Lab 3]] -- due Thursday, October 17 (by 11:59pm)
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Optional:
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* [[Lab 4]] -- due Saturday, November 16 (by 11:59pm)
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* [[Lab Bayes|Bayes Lab]]
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* [[Lab 5]] -- due Thursday, November 21 (by 11:59pm)
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useful formatting tags:
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<font style='color:#a00'>RED TEXT</font>
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-->
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== Anticipated lab release schedule ==
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Labs are due by '''10pm''' on the due date.
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Labs are anticipated to be released by '''11:59 pm''' on the release date.
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{| cellpadding=5 border=1 cellspacing=0
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|- align=left bgcolor=#eeeeee
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! Lab !! Subject !! Released !! Due
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|-
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|lab 0|| Getting started || 9/7 || 9/13
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|-
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|lab 1|| Rule-based systems || 9/12 || 9/20
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|-
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|lab 2|| Search || 9/14 || 9/22
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|-
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|lab 3|| Games || 9/19 || 9/26
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|-
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|lab 4|| Constraint satisfaction problems || 9/29 || 10/14
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|-
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|lab 5|| Nearest neighbors & ID trees || 10/3 || 10/21
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|-
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|lab 6|| Neural nets || 10/20 || 11/2
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|-
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|lab 7|| Support Vector Machines || 10/26 || 11/4
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|-
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|lab 8|| Bayesian Inference || 11/14 || 11/22
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|-
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|lab 9|| Adaboost || 11/21 || 11/30
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|}
== The online grader ==
== The online grader ==
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Make sure you have an [http://ca.mit.edu/ MIT certificate], and go to https://ai6034.mit.edu/labs . This will give you a file called <tt>key.py</tt>. Keep this file secure; for example, don't put it in a publicly-readable Athena directory.
Make sure you have an [http://ca.mit.edu/ MIT certificate], and go to https://ai6034.mit.edu/labs . This will give you a file called <tt>key.py</tt>. Keep this file secure; for example, don't put it in a publicly-readable Athena directory.
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The only thing the grader cares about is whether you pass the tests. It does not care if your code is pretty or well-commented. However, commenting your code can still be important: if you want a TA to help you with your lab, he will be able to give you more help if your code is understandable.
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The only thing the grader cares about is whether you pass the tests. It does not care if your code is pretty or well-commented. However, commenting your code can still be important: if you want a TA to help you with your lab, they will be able to give you more help if your code is understandable.
The grader also submits the code to your lab, so that it can be reviewed later by a human. It should go without saying that you should not try to fool or work around the grader, and that the code you submit must be the code you tested. See our [[grading and collaboration policy]], which also explains how your problem set grade is calculated.
The grader also submits the code to your lab, so that it can be reviewed later by a human. It should go without saying that you should not try to fool or work around the grader, and that the code you submit must be the code you tested. See our [[grading and collaboration policy]], which also explains how your problem set grade is calculated.

Revision as of 21:08, 22 August 2016

Contents

Currently released labs

None yet


Anticipated lab release schedule

Labs are due by 10pm on the due date.

Labs are anticipated to be released by 11:59 pm on the release date.

Lab Subject Released Due
lab 0 Getting started 9/7 9/13
lab 1 Rule-based systems 9/12 9/20
lab 2 Search 9/14 9/22
lab 3 Games 9/19 9/26
lab 4 Constraint satisfaction problems 9/29 10/14
lab 5 Nearest neighbors & ID trees 10/3 10/21
lab 6 Neural nets 10/20 11/2
lab 7 Support Vector Machines 10/26 11/4
lab 8 Bayesian Inference 11/14 11/22
lab 9 Adaboost 11/21 11/30

The online grader

You will be submitting all of your labs to an online grader. Every lab comes with a file, tester.py, that contains the machinery to test your code and to submit it when you're done.

In order for this to work, you need to securely download a "key" that identifies who you are to the grader.

Make sure you have an MIT certificate, and go to https://ai6034.mit.edu/labs . This will give you a file called key.py. Keep this file secure; for example, don't put it in a publicly-readable Athena directory.

The only thing the grader cares about is whether you pass the tests. It does not care if your code is pretty or well-commented. However, commenting your code can still be important: if you want a TA to help you with your lab, they will be able to give you more help if your code is understandable.

The grader also submits the code to your lab, so that it can be reviewed later by a human. It should go without saying that you should not try to fool or work around the grader, and that the code you submit must be the code you tested. See our grading and collaboration policy, which also explains how your problem set grade is calculated.

Viewing your grades

You can view your lab grades and all of your previous submissions here.

Note that each lab grade is the maximum score out of all of your submissions for that lab. This means that if you re-submit a lab and the command line output shows a lower grade, your grade for the lab will not actually decrease.

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