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How many notebooks are you planning to use in the course?
• Length of the notebook
• Difficulty of the notebooks
• Purpose of the notebook?
Number: I’d ideally like to have around 14 notebooks, one for each class meeting.
Length: I think they can be short, especially the early ones. I don’t think any will need to be very long.
Difficulty: Tough one to answer, but I believe they won’t be difficult. I think the main challenges are getting Python syntax right so as to (a) select the correct columns out of a table, and (b) select the correct subelements of a column using conditionals based on contents of another column.
Purpose: To give the students a structured environment in which to “play” with the week’s dataset, find answers to a few questions, and write several sentences about them.
How much material do you already have?
• Put any materials on GitHub
• Revised syllabus would be useful
• Specific skills you want to emphasize
How much: I have datasets assembled for weeks 8-14, and I still need to put together datasets for weeks 1-7. For all weeks, I still need to assemble a brief narrative that describes the data and identifies the questions.
Do you know how to use GitHub/ issues tracker?
Not really. I used GitHub once or twice during the term, and I downloaded the desktop client. I think I will be able to use it when necessary.
Preferred method of communication.
Email.
Do you have a TA/GSI?
I understand Kyle Nguyen and Chris Holdgraf are assets for DS 8 and the connectors.
Do the helpers need to have domain expertise/interest in the field?
No.
Do you need a functional website beyond Bcourse/Piazza?
No. I have rudimentary website authoring skills and had created an externally viewable website for the course at
Here are answers to your questions:
• Length of the notebook
• Difficulty of the notebooks
• Purpose of the notebook?
Number: I’d ideally like to have around 14 notebooks, one for each class meeting.
Length: I think they can be short, especially the early ones. I don’t think any will need to be very long.
Difficulty: Tough one to answer, but I believe they won’t be difficult. I think the main challenges are getting Python syntax right so as to (a) select the correct columns out of a table, and (b) select the correct subelements of a column using conditionals based on contents of another column.
Purpose: To give the students a structured environment in which to “play” with the week’s dataset, find answers to a few questions, and write several sentences about them.
• Put any materials on GitHub
• Revised syllabus would be useful
• Specific skills you want to emphasize
How much: I have datasets assembled for weeks 8-14, and I still need to put together datasets for weeks 1-7. For all weeks, I still need to assemble a brief narrative that describes the data and identifies the questions.
Not really. I used GitHub once or twice during the term, and I downloaded the desktop client. I think I will be able to use it when necessary.
Email.
I understand Kyle Nguyen and Chris Holdgraf are assets for DS 8 and the connectors.
No.
No. I have rudimentary website authoring skills and had created an externally viewable website for the course at
http://demog.berkeley.edu/~redwards/ls39g.html
I think I will keep an external webpage for the course as a spot where I can store datasets for students to access via callouts in Jupyter notebooks.
8.When will you be introducing the notebook in the class?
I think Week 1, on Monday, Jan 25, would be best.
Thanks!
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