Name: XRHETOR-R1A
Owner: Berkeley Data Science Modules
Description: Module for The Craft of Writing
Created: 2017-06-07 07:53:42.0
Updated: 2018-01-08 02:21:52.0
Pushed: 2017-11-20 23:08:28.0
Size: 27118
Language: Jupyter Notebook
GitHub Committers
| User | Most Recent Commit | # Commits |
|---|
Other Committers
| User | Most Recent Commit | # Commits |
|---|
This repo contains the new module for Prof. Amy Tick's XRHETOR-R1A class for Fall 2016 and Fall 2017.
The Fall 2017 materials were created by Sujude Dalieh, Jonathan Lin, Keeley Takimoto, and Sean Seungwoo Son. These modules connect word use in political speeches to the Moral Foundations Theory. Statistical inferences and visualizations from this data help students better understand rhetoric differences between conservative and liberal presidential candidates. This module is meant to take 3 class periods for students with minimal to no coding experience.
interact link: http://bit.ly/xrhetmodule
For any questions relating to content, please contact daliehsujude@berkeley.edu
The archived Political Data Institute Fall 2016 module was created by Alexander Ivanoff, Julian Kudszus, Aditya Sheth and Tracy Chen. These modules explore term frequency in speeches as well as an analysis of California State voter data. The voter data module is meant to take 3 class periods with two homework assignments and leads students with no coding experience through a hands-on analysis of voting trends that led up to the election in 2016.
For any questions relating to content, please contact aivanoff@berkeley.edu