- Spring 2016
Syllabus Description:
Welcome to An Introduction to Digital Humanities!
An overview of the range of DH projects can be found here.
Omeka install for this quarter's work: http://www.emmabandrews.org/dhcourse_spring16/
log in to Omeka : http://www.emmabandrews.org/dhcourse_spring16/admin
General Links and Information
- Documentation and Tutorials
- Contact, Policies, General Information, Office Hours here.
- Evaluation and Grading Rubrics here.
- Download a copy of the full syllabus here.
- Reading List - see links in each week's class information.
Remember:
You must show evidence of your reading outside of class in your weekly Work Log! The assigned reading is detailed before each class in the 'Preparation' links in the Syllabus (below). Evidence of reading is also demonstrated by asking questions based on what you've read, by engaging in thoughtful discussions with your group and class, and by experimenting with some of the concepts/tools you learn about outside of class and detailing this in your Work Log. Grading of this aspect of the course by the instructor and TA is based on observation, discussion, attendance and participation and contributes to the 'Assignments/Reading/Pre-Class Preparation' and 'In Class Participation' grades (20% and 20% respectively).
Overview of Spring Quarter 2016
Week 1 |
Monday March 28th |
Welcome & Orientation |
In Class |
Wednesday March 30th |
What is a Digital Project : Evaluating Digital Humanities Projects |
||
Week 2 |
Monday April 4th |
Install troubleshooting, dataset overview, Omeka accounts, |
|
Wednesday April 6th |
|
||
Week 3 | Monday April 11th | Project Charter & Project One Pager | |
Wednesday April 13th |
Copyright and Open Source Material Helene Williams |
||
Week 4 | Monday April 18th | Corpus Creation & Curation; Cleaning Data with Open Refine | |
Wednesday April 20th | UW Digital Initiatives Ann Lally | ||
Week 5 |
Monday April 25th |
|
|
Wednesday April 27th |
Dublin Core Metadata & Metadata Lab |
||
Week 6 | Monday May 2nd | Simple Python & Web Scraping Exercise | |
Wednesday May 4th | Lab Work |
|
|
Week 7 | Monday May 9th | Markup & Structured Data : XML & TEI | |
Wednesday May 11th | Text & Corpus Analysis/Topic Modeling | ||
Week 8 | Monday May 16th | Geoparsing/Mapping | |
Wednesday May 18th | Data Visualizations/Timelines | ||
Week 9 | Monday May 23rd | Crowdsourcing | |
Wednesday May 25th | Lab Work | ||
Week 10 | Monday May 30th | NO CLASS - MEMORIAL DAY | |
Wednesday June 1st | FINAL CLASS PRESENTATIONS |
N.B. Course schedule may vary, and is not be be considered final. Any updates will be announced in class and on Canvas.