Course Schedule

Autumn 2021 coming soon

Spring 2021

Week

Date

Topic

Technical Reading

Critical/Cultural Reading

Tasks

Assignment

Week 1

Mon Feb 8

Introductions

Wed Feb 10

Command Line & Files, Files, Files

*Read The Command Line

*Read and annotate “The Yellow Wallpaper,” Charlotte Perkins Gilman (Perusall)

*Fill out intro survey

Fri Feb 12

Introduction to Python & GitHub

*Read How To Use Jupyter Notebooks

*Download and install Anaconda *Make a GitHub account *Download GitHub Desktop *Download VSCode

HW 1 Due

Week 2

Mon Feb 15

Python — Variables & Data Types

*Read Variables, Data Types

*Read and annotate “Introduction,” Data Feminism, Catherine D’Ignazio and Lauren Klein (Perusall)

*Install Jupyter Variable Inspector

Wed Feb 17

Python — Files, Character Encoding, String Methods

*Read Files and Character Encoding

*Read and annotate “I Can Text You A Pile of Poo, But I Can’t Write My Name,” Aditya Mukerjee (Perusall)

Fri Feb 19

Python — String Methods

*Read String Methods

HW 2 Due

Week 3

Mon Feb 22

Python — Conditionals & Comparisons

*Read Conditionals & Comparisons

*Read and annotate “(Re)Humanizing Data: Digitally Navigating the Bellevue Almshouse” Anelise Hanson Shrout (Perusall)

Wed Feb 24

Python — Lists & Loops

*Read Lists & Loops

Fri Feb 26

Python — Lists & Loops

*Read Lists & Loops Part 2

*Read and annotate “What Gets Counted Counts,” Data Feminism, Catherine D’Ignazio and Lauren Klein (Perusall)

Homework 3 Due

Week 4

Mon March 1

Python — Dictionaries, Functions

*Read Dictionaries, Functions

*Read and annotate “Unicorns, Janitors, Ninjas, Wizards, and Rock Stars,” Data Feminism, Catherine D’Ignazio and Lauren Klein (Perusall)

Wed March 3

Dictionaries, Functions

*Read Dictionaries, Functions

Fri March 5

Object-Oriented Programming

Week 5

Mon March 8

Python Review

*Read and annotate “The Numbers Don’t Speak For Themselves” Data Feminism, Catherine D’Ignazio and Lauren Klein (Perusall)

Homework 4 Due

Wed March 10

Wellness Day

Friday March 12

Data Analysis — Pandas

*Read Pandas Basics

*Read “Data Biographies,” Heather Krause

Fill out midterm project preferences

Week 6

Monday March 15

Data Analysis — Pandas

*Read and annotate “Markup Bodies: Black [Life] Studies and Slavery [Death] Studies at the Digital Crossroads” Jessica Marie Johnson (Perusall)

Wed March 17

Data Analysis — Pandas

*Read and annotate “Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age,” Hannah Anderson and Matt Daniels (Perusall)

* Read Film Dialogue FAQ

Friday March 19

Data Analysis — Pandas

* Review Pandas Basics Parts 1-3

* Watch “From Story-time to Send Off: Inside The Pudding’s Process,” Caitlyn Ralph
* Recommended Reading: “Why the Pandemic Experts Failed,” Robinson Meyer and Alexis C. Madrigal

Gather process ideas for your group’s midterm project

Week 7

Monday March 22

Data Analysis — Pandas

* Review Pandas Basics Parts 1-3

* Read “Datasheets for Datasets,” Timnit Gebru, et al.

* Recommended Reading: “Timnit Gebru’s Exit From Google Exposes a Crisis in AI,” Alex Hanna and Meredith Whitaker

Pick a question that interests you from “Datasheets for Datasets” and be prepared to talk about it

Wed March 24

Data Analysis — Pandas Review

Friday March 26

Data Collection — Web Scraping

* Review “Web Scraping Part 1”

* Read “The Largest Vocabulary in Hip-Hop,” Matt Daniels
* Listen to Missy Elliott’s Under Construction (at least a few songs)

Midterm Project Due

Week 8

Mon March 29

Data Collection — Web Scraping/APIs

* Review “Web Scraping Part 2”

* Read and annotate “The Secretive Company That Might End Privacy as We Know It,” Kashmir Hill (Perusall)

Wed March 31

Data Collection — APIs

* Read “An Illustrated Introudction to APIs,” Xavier Adam

Fri April 2

Data Collection — APIs

* Read and annotate “Narrative Paths and Negotiation of Power in Birth Stories,” Maria Antoniak, David Mimno, and Karen Levy (Perusall)

Week 9

Mon April 5

Text Analysis

* Review TF-IDF

* Read and annotate excerpts of The House on Mango Street, Sandra Cisneros (Perusall)

Wed April 7

Text Analysis

* Review TF-IDF

* Recommended Reading: “Seven Ways Humanists Are Using Computers to Understand Text,” Ted Underwood (older version of blog post, formatting not broken)

Fri April 9

Text Analysis

* Review Topic Modeling Overview

* Read “Beyond Canonical Texts: A Computational Analysis of Fanfiction,” Smitha Milli and David Bamman
* Check out the Fan Engagement Meter

Homework 5

Week 10

Mon April 12

Text Analysis

* Review Topic Modeling Text Files

* Read and annotate “Dimensions of Scale: Invisible Labor, Editorial Work, and the Future of Quantitative Literary Studies,” Lauren Klein (Perusall)

Wed April 14

Text Analysis

* Review Named Entity Recognition
* Play with GPT-2

Fri April 16

Text/Network Analysis

* Read and explore “Introduction,” “A Multimedia Literary Analysis,” (Sections 1-3), Lost in the City: An Exploration of Edward P. Jones’s Short Fiction, Kenton Rambsy and Peace Ossom-Williamson

Homework 6 Due

Week 11

Mon April 19

Network Analysis

* Read “Demystifying Networks” (Part I), Scott Weingart

* Read and annotate “Network of Thrones,” Andrew Beveridge and Jie Shan (Perusall)
* Recommended: Game of Thrones: Beginner’s Guide (spoilers)
* Recommended: Season 1, Episode 2 of Game of Thrones

Wed April 21

Network Analysis

* Read “Demystifying Networks (Part II)”, Scott Weingart

Homework 7 Due

Fri Aril 23

Wellness Day

Week 12

Mon April 26

Wellness Day

Wed April 28

Mapping

* Read and annotate “How an internet mapping glitch turned a random Kansas farm into a digital hell,” Kashmir Hill (Perusall)

Fri April 30

Mapping

* Explore Torn Apart / Separados, Manan Ahmed, Alex Gil, Moacir P. de Sá Pereira, Roopika Risam, Maira E. Álvarez, Sylvia A. Fernández, Linda Rodriguez, and Merisa Martinez
* Read ‘ICE Is Everywhere’: Using Library Science to Map the Separation Crisis, Emily Dreyfuss

Week 13

Mon May 3

How to Make Arguments and Tell Stories With Data

* Read “Trucks and Beer,” John Miller

Wed May 5

How to Make Arguments and Tell Stories With Data

* Read “Topic Modelling Martha Ballard’s Diary,” Cameron Blevins

Fri May 7

How to Make Arguments and Tell Stories With Data

* Re-read “Beyond Canonical Texts: A Computational Analysis of Fanfiction,” Smitha Milli and David Bamman

Final Project Proposal Due

Week 14

Mon May 10

How to Make Arguments and Tell Stories With Data

* Read “Mapping the State of the Union,” Mitch Fraas and Ben Schmidt
* Read How Americans Think About Climate Change, in Six Maps, Nadja Popovich, John Schwartz and Tatiana Schlossberg

Wed May 12

How to Make Arguments and Tell Stories With Data

* Gendered Language in Teacher Reviews, Ben Schmidt

Fri May 14

Last Day

Dataset Biography Due

Fri May 21

Final Project Due