Mentor

Atri.

Background

Are you will see, we will be using Jupyter notebooks to do a bunch of in-class activities to better understand the material. Unfortunately, due to lack of time, we could not develop the notebooks as much as we had hoped to do. This is where you come in!

Proposed project

Below is a partial list of things that could be done to improve the notebooks:

• Improving or adding new widgets to existing notebooks. The notebooks you will see in the course will have some widgets. However, some of the widgets could be improved (starting from changing the layout of the widget to adding more functionality) or perhaps there could be new widgets created that are currently missing.
• Augmenting existing notebook content. Some (or perhaps most?) of the current notebooks could do with some extra activities to make it more complete/useful for in-class lecture activities.
• Creating more "generic" notebooks. The existing notebooks focus on the COMPAS dataset: extending notebooks to arbitrary datasets would be nice.
• Integrating existing tools into existing notebooks. For example, integrating functionality of the What-If Tool into existing notebooks would really allow for some nice activities related to fairness issue that we will cover in class.
• Creating auto-gradeable notebooks. Create assignments via Jupyter notebooks that can be graded as an assignment (in some cases graded automatically).

Proposed project-specific deliverables

We first list all the steps that would need to be done to take this project to its logical conclusion:

1. Figure out what capabilities already exist in the existing notebooks.
2. Pick as many of the following options as is feasible/relevant for your group project:
   • Improving existing widgets this could include e.g. adding more functionality to an existing widget and/or improving the layout of an existing widget.
   • Adding a new widget. Add a new widget that would be nice to have but does not exist (e.g. adding widgets to apply various fairness definitions to a given model).
   • Augmenting existing notebook content.
   • Create a more "generic" notebook.
   • Import more functionality from existing tools
   • Creating auto-gradeable notebooks.

References

• Jupyter documentation page
• Google Colab