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remove references to grader for NYU Fall 2025
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assignments.md

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@@ -68,7 +68,7 @@ You'll create your own notebook{% if id == "nyu" %}, using `Python [conda env:py
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- API keys
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- Personally-identifiable information (PII)
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{% if id == "columbia" -%}
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1. Confirm that the notebook is [shared](https://research.google.com/colaboratory/faq.html#notebook-storage) with [the instructor and {{assistant_name}}](syllabus.md#instructor-information) with `Commenter` permissions. If it isn't, [share the parent folder](hw_0.ipynb#one-time-setup) and re-confirm.
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1. Confirm that the notebook is [shared](https://research.google.com/colaboratory/faq.html#notebook-storage) with [the instructor{% if id == "columbia" %} and {{assistant_name}}{% endif %}](syllabus.md#instructor-information) with `Commenter` permissions. If it isn't, [share the parent folder](hw_0.ipynb#one-time-setup) and re-confirm.
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1. Copy the URL of your notebook.
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- The URL should be of the format `https://colab.research.google.com/drive/<long identifier>`. If it's `https://colab.research.google.com/github/...`, click `Copy to Drive`.
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1. Paste your notebook URL in the {{lms_name}} Assignment.
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### Notes
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{% if id == "nyu" -%}
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- You can ignore {{submission_tool_name}} saying "Large file hidden". The {{assistant_name}} can download the notebook to view.
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- You can ignore {{submission_tool_name}} saying "Large file hidden". The file can be downloaded when grading.
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- [Resubmissions](syllabus.md#resubmission) are done the same way.
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{%- endif %}
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- In-class exercises will not be submitted/graded.

final_project.md

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@@ -91,7 +91,7 @@ If you insist: Make sure you use at least 40 lines of code to come to a conclusi
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### Confirming you meet the requirements
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The instructor and {{assistant_name}} don't have bandwidth to review everyone's full notebooks. Therefore, to be fair to everyone, we will deny any requests to have notebooks reviewed end to end, aside from [appeals to the peer grade](final_project/peer_grading.md). In other words, please don't ask us "I think I'm done — can you make sure my Final Project is ok?" That said, we are more than happy to answer specific questions and help troubleshoot specific sections.
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The instructor {% if id == "columbia" %}and {{assistant_name}} don't{% else %}doesn't{% endif %} have bandwidth to review everyone's full notebooks. Therefore, to be fair to everyone, any requests to have notebooks reviewed end to end will be denied — aside from [appeals to the peer grade](final_project/peer_grading.md). In other words, please don't ask "I think I'm done — can you make sure my Final Project is ok?" That said, more than happy to answer specific questions and help troubleshoot specific sections.
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To confirm you meet [the requirements](#analysis-requirements) prior to submitting, you can:
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final_project/peer_grading.md

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Your Final Project will be reviewed and graded by three of your peers, and you will grade three others'. These will be anonymous. [Scoring details.](../syllabus.md#final-project)
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If you disagree with the grade, you can appeal by [emailing the instructor and {{assistant_name}}](../syllabus.md#instructor-information). This comes with a risk: this new grade will be the one that's used, even if it's lower.
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If you disagree with the grade, you can appeal by [emailing the instructor{% if id == "columbia" %} and {{assistant_name}}{% endif %}](../syllabus.md#instructor-information). This comes with a risk: this new grade will be the one that's used, even if it's lower.
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## How to review
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final_project/proposal.md

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- If you're using multiple datasets: **What columns are you going to merge/join them on?**
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- **What's your hypothesis?**
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Feel free to include any questions/concerns/uncertainties that the {{assistant_name}} can help with.
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Feel free to include any questions/concerns/uncertainties that the {% if id == "columbia" %}{{assistant_name}}{% else %}instructor{% endif %} can help with.
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## Tips
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hw_0.ipynb

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"- Share your {{coding_env_name}} folder\n",
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" 1. Open [Google Drive](https://drive.google.com/)\n",
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" 1. If you are signed into multiple Google accounts, [switch](https://support.google.com/accounts/answer/1721977) to your Columbia one.\n",
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" 1. [Share the `Colab Notebooks` folder](https://support.google.com/drive/answer/7166529) with [the instructor and {{assistant_name}}](https://python-public-policy.afeld.me/en/{{school_slug}}/syllabus.html#instructor-information) as a `Commenter`\n",
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" 1. [Share the `Colab Notebooks` folder](https://support.google.com/drive/answer/7166529) with [the instructor{% if id == \"columbia\" %} and {{assistant_name}}{% endif %}](https://python-public-policy.afeld.me/en/{{school_slug}}/syllabus.html#instructor-information) as a `Commenter`\n",
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" - Uncheck `Notify people`\n",
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"{%- endif %}\n",
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"\n",

joining_late.md

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- Make sure to read through the pinned threads that appear at the top of the list of [Ed Discussions]({{discussions_url}}), in case there's anything you missed.
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- [Submit](assignments.md#submission) all [past assignments](syllabus.md#schedule).
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- We will mark [Participation](syllabus.md#participation) for weeks prior to when a student is registered as Excused.
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- [Email the {{assistant_name}}](syllabus.md#instructor-information) if there's a mistake.
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- [Email the {% if id == "columbia" %}{{assistant_name}}{% else %}instructor{% endif %}](syllabus.md#instructor-information) if there's a mistake.
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## Extensions
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- We will grant extensions up to the following, whichever comes first:
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- Nine days after the [original due date](syllabus.md#schedule)
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- One week after you were enrolled in the course
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- If we accidentally mark you as late, let the {{assistant_name}} know and we'll get it corrected.
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- If we accidentally mark you as late, let the {% if id == "columbia" %}{{assistant_name}}{% else %}instructor{% endif %} know and it will be corrected.
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- [The late submission deadline](syllabus.md#schedule) will not be extended.
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- In other words: If you joined the class more than a week after the class starts, you can't turn in Homework 0 late.
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lecture_6.ipynb

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"slideshow": {
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"slide_type": "slide"
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},
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"tags": []
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"tags": [
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"columbia-only"
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]
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},
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"source": [
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"Thanks to the {{assistant_name}}!"
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{
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"cell_type": "markdown",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"tags": []
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},
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"source": [
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"## Thank you!\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.13"
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"version": "3.12.11"
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}
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},
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"nbformat": 4,

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