Teaching materials for AR Methodological Workshop - Computational Background Skills for Digital Humanities at University of Vienna.

This course is intended to provide basic training and support for further skills courses in the Digital Humanities. It is strongly recommended as a prerequisite to the other DH practical courses. As such, students will be required to bring a laptop computer (no tablets!) If this presents a problem, please contact one of the course instructors in advance.

• Introduction to the command line
• Introduction to file formats and filesystems
• Solving the mystery of special characters
• Understanding how the Internet works behind the browser
• Things you ought to know about your (Mac / Windows / Linux) operating system
• Where to go for help and how to understand the answers

Assessment will be on the basis of class participation, 'question' points, and intermittent quizzes.

We will try to accompany the contents of each course with some practical steps of the exercise, which will lead to a final project in the end.

The exercise goals of each lecture are:

• Day 1:
  • Install needed software to be used as terminal and code editor
  • Get familiar using the shell and code editor
  • Change to your desktop directory and create a folder with empty README.md and index.html files for the project
• Day 2:
  • Apply learned RegEx methods to create the .csv file which will be used in the project
• Day 3:
  • Download the exercise/lecture3/data.csv file and inspect it using the code editor
  • Make basic modifications the index.html and README.md files following the boilerplate code found in exercise/lecture3 folder
  • Create an empty repository on Github wit MIT Licence and push your project folder to remote (project folder should contain index.html, data.csv, README.md and LICENCE files)
• Day 4:
  • Modify the JavaScript function given in the boilerplate code to execute various regex tasks
  • See the output of regex by opening the index.html file with a browser
  • Understand how our code fetches the data using HTTP requests
  • Create HTML elements such as tables, divs, paragraphs etc. for our output
  • Add basic CSS styles for different elements
• Day 5:
  • Add basic interaction elements e.g. buttons in HTML
  • Bind the elements to our JavaScript functions to toggle the data being displayed
  • Finalize the project, push it to git repo and make it online using GitHub Pages

• Bootcamp: Computational groundwork skills by Pittsburgh-NEH-Institute: https://github.com/Pittsburgh-NEH-Institute/Institute-Materials-2017
• Software Carpentry workshop: https://software-carpentry.org/lessons/