•  Intro to Practicums  Introduction to doing the upcoming course "practicum" assignments and leaving results on the Student Work site.
  

• Read pages 49-63 of Alan Liu, "Transcendental Data: Toward a Cultural History and Aesthetics of the New Encoded Discourse [PDF] (2004) [PDF] [paywalled; UCSB students have free access through UCSB Library Proxy server] | [Alternative link]
• Unicode (encoding of text at level of character):
• Read the first few sections of the Wikipedia article on "Unicode" (from beginning of article through end of the section titled "History").
• HTML (encoding text for Web pages):
• Read enough of the W3School's HTML Tutorial (chapter by chapter) to understand the basis of how HTML is used to encode texts and images for presentation on the Web (and use the tutorial's "Try It Yourself" links to try some of the lessons in a live code window).
• TEI (Text-Encoding Initiative encoding of literary and other texts):
• Browse through Module 1 ("Common Structure and Elements" of the TEI By Example Tutorial to understand the basics of what TEI (the Text Encoding Initiative's method of encoding literary and other texts) is about.
• Read beginning of Kate Singer, "Digital Close Reading: TEI for Teaching Poetic Vocabularies" (2013) [read the "Abstract" and the "Introduction" until the sentence beginning, "What follows is a discussion of the experiments and debates about TEI as a descriptive, analytical language for poetic texts that occurred mainly during an undergraduate senior-level seminar"....]
•  Practicum 1: Text Encoding  Instructions for this practicum | Folder of exercises on Student Work page

Course "practicums" are hands-on, small-scale exercises that ask students to experiment at a beginner's level with the tools of the digital humanities.  Each practicum should be completed before class, resulting in a "souvenir" of the exercise left on the Student Work site. (General instructions for practicums)

• The Stanford Literary Lab Paradigm of "Distant Reading":
• Franco Moretti, Graphs, Maps, Trees (Verso, 2005), pp. 1-33, 91-92 [purchase this book in paperback from the UCSB bookstore or elsewhere]
• Ryan Heuser and and Long Le-Khac, "A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method" [PDF] (Stanford Literary Lab Pamphlet #4, 2012)
• Other possible paradigms of "distant reading" (in-class discussion).
•  Practicum 2: Finding Digital Texts  Instructions for this practicum | Folder of exercises on Student Work page

• Ted Underwood, "Where to Start with Text Mining?" (2012)
• France Moretti, "'Operationalizing': Or, The Function of Measurement in Modern Literary Theory" [PDF] (Stanford Literary Lab Pamphlet #6, 2013)
•  Practicum 3: Text Analysis 1  Instructions for this practicum | Folder of exercises on Student Work page

• The Idea of a "Concordance"
• Wikipedia article on "Concordance"
• Religious literature concordances:    
• Wikipedia article on Strong's Concordance
• Strong's Corcordance Online (try it out) 
• Father Roberto Busa's Index Thomisticus for the works of St. Thoma Aquinas, in Latin (try it out)
  
• Literature concordances:
• Shakespeare concordance (try it out)
• Beyond the Concordance: Corpus Linguistics and Digital Text Analysis
• Try out the following corpus linguistics resources and tools (read beginning of Wikipedia article on Corpus Linguistics for definition of the term):
• corpus.byu.edu
• Antconc (install on your computer; or use the program on the SH 2509 machines, where it is already installed)
• Try out the following tools for analyzing changing frequencies and other patterns of language in millions of books:
• Google Ngram Viewer
• HathiTrust Research Center Portal (requires creating a free account) 
• Try out the following text analysis tools or suites of tools:
• WordTree
• LexHub.org (take a look at this new text analysis site to see if it's something that can be used for the class project in this course)
  
•  Practicum 4: Text Analysis 2  Instructions for this practicum | Folder of exercises on Student Work page

• Ted Underwood, "Topic Modeling Made Just Simple Enough" (2012)
• Matthew L. Jockers
• "The LDA Buffet is Now Open; or, Latent Dirichlet Allocation for English Majors" (2011)
• "500 Themes from a corpus of 19th-Century Fiction" (interactive site for exploring Jockers' topic modeling of his corpus of Irish-American literature; try it out)