ds-modules / ib-c32

IB-C32

Notebook Sections for IB-C32 at University of California, Berkeley

by DSUS Modules Student Team Spring 2023

Professor: Robert Fall

GSI: Ali Bhatti

Developer Lead: Jonathan Ferrari

The goal of this module is for students to gain an introduction to data science as well as explore gecko data itself collected in class.

• Link to datahub
• Link to walkthrough online
• Local Walktrhough File

ib-c32's Issues

Review and Give Feedback of Gecko Analysis Notebook ✨

Gecko Notebook Review 🦎📓📋

TL;DR

• review #6 and #2 then open the notebook via the link in the README

• Leave detailed feedback on the pull request (#6) and a summary of your feedback on this thread

Assignees:

@JessicaGolden @zcjanin @tanyagrawal

Deadline:

Wednesday, February 15^th, 2023

Action Items:

• Review:

  • The open issue for the creation of the introductory notebook: #2
  • The pull request to merge the gecko branch into main: #6
  • Open the notebook in DataHub via the link in the README

• Critique:

  • Please leave constructive criticism on the pull request as a comment
  • If there is something that you think should be fixed, how would you fix it?
  • The students who will be using the notebook have little to no coding experience
  • Overall impression of the notebook through the lens of the students who will use the notebook
• Leave a summary of your critique as a comment on this issue

Details:

Please be as detailed as possible! Any and all feedback is welcome, especially things that this notebook can do better or weaknesses that you see.

Examples of what feedback you can leave might be:

• typos that you found
• something was hard to understand (or would be for the students)
• was any of the formatting hard to follow
• was the notebook too long
• should I have gone more in-depth into anything
• is there anything I spent too much time explaining
• any other improvements you may have noticed

Of course, positive comments are more than welcome, but don't be afraid to give constructive feedback!

Conclusion:

Thank you all, and if you have any questions/concerns/comments please leave them here, or in our slack channel; I will actively review both!

Update Links and READMEs

Once final iterations of all notebooks are made and approved by Andrew, put badges in each folder, and on the main README. Also, create a readme for each notebook

• Create README for intro.ipynb
• Create README for gecko.ipynb
• Create README for robot.ipynb
• Add intro.ipynb link and badge to repo README
• Add gecko.ipynb link and badge to repo README
• Add robot.ipynb link and badge to repo README
• Update repo README with information about current team and deployment

Review Intro Notebook 🤠

First Notebook Review 🥇📓📋

TL;DR

• review #3 and #1 then open the notebook via the link in the README
• Leave detailed feedback on the pull request (#3) and a summary of your feedback on this thread

Assignees:

@JessicaGolden @zcjanin @tanyagrawal

Deadline:

Sunday, February 12^th, 2023

Action Items:

• Review:

  • The open issue for the creation of the introductory notebook: #1
  • The pull request to merge the intro branch into main: #3
  • Open the notebook in DataHub via the link in the README

• Critique:

  • Please leave constructive criticism on the pull request as a comment
  • If there is something that you think should be fixed, how would you fix it?
  • The students who will be using the notebook have little to no coding experience
  • Overall impression of the notebook through the lens of the students who will use the notebook
• Leave a summary of your critique as a comment on this issue

Details:

Please be as detailed as possible! Any and all feedback is welcome, especially things that this notebook can do better or weaknesses that you see.

Examples of what feedback you can leave might be:

• typos that you found
• something was hard to understand (or would be for the students)
• was any of the formatting hard to follow
• was the notebook too long
• should I have gone more in-depth into anything
• is there anything I spent too much time explaining
• any other improvements you may have noticed

Of course, positive comments are more than welcome, but don't be afraid to give constructive feedback!

Conclusion:

Thank you all, and if you have any questions/concerns/comments please leave them here, or in our slack channel; I will actively review both!

Create Gecko Notebook

Analysis of Gecko Adhesion and Student Data

• This notebook will give an introduction to the project, as well as include descriptions of the variables and functions which the students are investigating
• This will be a toned-down version of the Gecko notebook created by @jonathanferrari during the Spring 22 semester
• Some sections will be removed, and some will be simplified
• Data will be loaded in via google sheets and updated in the notebook whenever it is updated in the sheet

For a full description see feedback.md

Create Introductory Notebook

Create an Introductory Notebook

• Students will use to be able to learn some basic functionality of Python and Jupyter
• This notebook should include basic instruction on the different ways that they will interact with the notebook
• Combine introductions from a few different notebooks

For more information see feedback.md