Labs

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(The online grader)
Current revision (21:46, 15 September 2020) (view source)
(Note: We are no longer using this site. Please visit the Labs page on Canvas to access the labs.)
 
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== Note: We are no longer using this site. Please visit the [https://canvas.mit.edu/courses/4358/pages/labs Labs page on MIT Canvas] to access the labs. ==
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<!--
== Currently released labs ==
== Currently released labs ==
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{{Lab|lab=0|when=Sunday, September 6}}
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{{Lab|lab=0|when=Thursday, September 10}}
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<!-- Unreleased labs go below  
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Unreleased labs go below  
{{Lab|lab=1|when=Tuesday, September 17}}
{{Lab|lab=1|when=Tuesday, September 17}}
{{Lab|lab=2|when=Friday, September 20}}
{{Lab|lab=2|when=Friday, September 20}}
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== Anticipated lab release schedule ==
== Anticipated lab release schedule ==
Labs are due by '''10:00 pm''' on the due date.
Labs are due by '''10:00 pm''' on the due date.
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Labs are anticipated to be released by 11:59 pm on the release date.  Each lab release will be announced by email.
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Labs are anticipated to be released by 11:59 pm on the release date.  Each lab release will be announced by email. The release and due dates listed here are not reliable. Please refer to the [https://canvas.mit.edu/courses/4358/pages/labs Labs page on Canvas] for up-to date information.
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Lab 0 will be released the week before class starts.
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More lab info coming soon....
More lab info coming soon....
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<!--
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{| cellpadding=5 border=1 cellspacing=0
{| cellpadding=5 border=1 cellspacing=0
|- align=left bgcolor=#eeeeee
|- align=left bgcolor=#eeeeee
! Lab !! Subject !! Released !! Due  
! Lab !! Subject !! Released !! Due  
|-
|-
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|lab 0 || Getting Started || 8/26 || 9/6
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|lab 0 || Getting Started || 8/26 || 9/10
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|-
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|lab 1|| Rule-Based Systems || 9/9 || 9/17
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|lab 1|| Search|| 9/9 || 9/19
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|lab 2|| Search|| 9/13 || 9/20
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|lab 2|| Games|| 9/15 || 9/24
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|lab 3|| Games|| 9/19 || 9/27
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|lab 3|| Constraint Satisfaction Problems || 9/20 || 10/1
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|lab 4|| Constraint Satisfaction Problems || 9/29 || 10/8
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|lab 4|| Rule-Based Systems || 9/23 || 10/8
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|lab 5|| k-Nearest Neighbors & ID Trees || 10/6 || 10/16
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|lab 5|| Bayesian Inference || 9/28 || 10/22
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|lab 6|| Neural Nets || 10/20 || 10/30
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|lab 6|| k-Nearest Neighbors & ID Trees || 10/5 || 10/29
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|lab 7|| Support Vector Machines || 10/27 || 11/6
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|lab 7|| Neural Nets || 10/7 || 11/5
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|lab 8|| Bayesian Inference || 11/10 || 11/27
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|lab 8|| Support Vector Machines || 10/19 || 11/12
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|lab 9|| Adaboost || 11/17 || 12/4
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|lab 9|| Adaboost || 11/2 || 12/3
|}
|}
''The anticipated release and due dates for all unreleased labs are subject to change.''
''The anticipated release and due dates for all unreleased labs are subject to change.''
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== The online grader ==
== The online grader ==
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You will be submitting all of your labs to an online grader. Every lab comes with a file, <tt>tester.py</tt>, that contains the machinery to test your code and to submit it when you're done.
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You will be submitting all of your labs to Canvas. The online grader is no longer available, but you can expect the results from your local tests to be a strong indicator of your grades.
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== More details about using the online grader will be available soon on the [https://canvas.mit.edu/courses/4358 6.034 Canvas site]. ==
In order for this to work, you need to securely download a "key" that identifies who you are to the grader.
In order for this to work, you need to securely download a "key" that identifies who you are to the grader.
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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.
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== Viewing your grades ==
== Viewing your grades ==
You can view your lab grades and all of your previous submissions [https://ai6034.mit.edu/labs/view_stats here].
You can view your lab grades and all of your previous submissions [https://ai6034.mit.edu/labs/view_stats here].
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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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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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Current revision

Note: We are no longer using this site. Please visit the Labs page on MIT Canvas to access the labs.

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