DH100: Introduction to Digital Humanities
Tuesday/Thursday 9:25am – 10:40am
Brian S. Matzke
Email: bmatzke@ccsu.edu
To meet with me, please schedule an appointment here
This schedule provides links to the video lectures, readings, and assignments for each day of the course. Lectures and readings should be completed before that day’s class. Assignments should be completed by midnight that class day, and will be graded the day after class.
Lecture: What is a digital library?
Reading: Jonathan Zittrain, “The Internet is Rotting”
Assignment None
1/27
Lecture: What kinds of research projects can you do with a digital library?
Reading: Amanda Shendruk, “Analyzing the Gender Representation of 34,476 Comic Book Characters”
Assignment: None
Lecture: Part 1: Purchasing your website; Part 2: Setting up your website
Reading: None
Assignment: Set up your website
2/3
Lecture: Digital Rhetoric
Reading: Anne Francis Wysocki, “The Multiple Media of Texts” (Available on Blackboard. You are only required to read pages 1-15, up to the “Applied Analysis” section.)
Assignment: Blog post 1: Profile of a DH project
Lecture: How to find scholarly sources
Reading: Tara Menon, “Keeping Count: Direct Speech in the Nineteenth-Century British Novel” (access the article through the library)
Assignment: Blog post 2: Three possible research questions
2/10
Lecture: How to read an academic paper
Reading: One of the two articles listed in your assignment
Assignment: Blog post 3: Analysis of an academic paper
Lecture: Zotero
Reading: A scholarly article on your research topic (see assignment); CCSU Library’s LibGuide on Zotero (optional)
Assignment: Blog post 4: Summary of a scholarly source
2/17
Lecture: Part 1: Artifacts and where to find them; Part 2: Adding artifacts to your website
Reading: None
Assignment: Gallery entry 1: First artifact
Lecture: Dublin Core and controlled vocabularies
Readings (recommended but not required): Check out Johanna Drucker, Introduction to Digital Humanities 3A “Ontologies and Metadata”, p. 24-27 and DCMI Metadata Terms
Assignment: Blog post 5: Dublin Core metadata
2/24
Lecture: The Dublin Core metadata plugin
Reading: Sarah Gailey, Do Hippos Count as Dragons?”
Assignment: Gallery entry 2: Second artifact
Lecture: None
Readings: None
Assignment: Gallery entry 3: Third artifact
3/3
Lecture: A gentle introduction to XML and TEI
Readings: Check out w3schools, “Introduction to XML” and Johanna Drucker, Introduction to Digital Humanities 6A “Text Encoding”, p 46-48
Assignment: None
Lecture: Working with the TEI Boilerplate
Readings: Check out the resources on the Women Writers Project and the website for the TEI Boilerplate for help completing today’s assignment.
Assignment: Gallery entry 4: TEI markup
3/10
Lecture: Directories
Readings: “File not found” by Monica Chin (optional)
Assignment: Blog post 6: Reflection on your TEI markup
Lecture: Indexing audiovisual materials
Readings: Check out the resources on the website for The Oral History Metadata Synchronizer. For additional information on how to complete your markup, consult the video tutorials on this page.
Assignment: Gallery entry 5: OHMS index
3/24
Lecture: TBD
Reading: TBD
Assignment: Blog post 7: Reflection on your OHMS index
Lecture: Copyright
Reading: None
Assignment: Add Creative Commons statement to your website’s homepage and rights statements to your artifacts’ metadata
3/31
Lecture: Ruja Benjamin, “A New Jim Code?”
Readings: Sarah Brayne, “Relying on algorithms can further bias and inequality — but it doesn’t have to be that way” and Daniel Politi, “Facebook Apologizes After its AI Mislabels Video of Black Men as ‘Primates’”
Assignment: Blog post 8: Reflection on technology and inequality
Lecture: Timelines and Maps
Reading: None, but we’ll be looking at these online tools: Timeline and StoryMap
Assignment: Gallery entry 6: Timeline or Map
4/7
Lecture: Thesis statements
Reading: The magic thesis sentence
Assignment: Blog post 9: Thesis statement
Lecture: Analyzing data visualizations and where to find data
Reading: “Three questions to ask yourself next time you see a graph, chart, or map” by Carson MacPherson-Krutsky. Also, we’ll be checking out Kaggle.com and Data.gov.
Assignment: Blog post 10: Analysis of a data visualization
4/14
Lecture: Creating bar graphs, histograms, or scatterplots in Excel
Reading: None
Assignment: Gallery entry 7: Histogram or scatterplot
Lecture: Voyant Tools
Reading: Voyant Tools: An Introduction
Assignment: Blog post 11: Partial draft/outline of final paper
4/21
Lecture: Google N-Grams and HathiTrust Bookworm
Reading: None, but we’ll be working with The HathiTrust Bookworm
Assignment: Gallery entry 8: Word frequency visualization
Lecture: Sankeys, flowcharts, and trees
Reading: None, but we will be working with SankeyMATIC, Lucidchart, and RelationshipTree
Assignment: Gallery entry 9: Fourth data visualization
4/28
Lecture: None
Reading: None
Assignment : Blog 12: Complete rough draft
Lecture: None
Readings: None
Assignment: Blog 13: Profile of a DH project, take two
5/5
Lecture: Final key terms and final thoughts
Reading: “Workshop is not for you” by Jeremiah Chamberlin
Assignment: Peer critiques
Monday, 5/9 is the last day assignments will be accepted for credit. All assignments must be visible on your site by noon on Monday 5/9
The final paper is due by noon on Friday, 5/13
The final exam will be available on Blackboard from 8am on Monday, 5/9 until noon on Friday, 5/13
Here is a list of key terms that you may use as a study guide as you prepare for the final exam