Introduction to Digital Humanities

Por: edX . en: ,

Lesson 1: Digital Humanities and Data

  • Explain the term "digital humanities," and how it is understood across humanities disciplines.
  • Describe the research journey as a partnership between researcher and library collections and staff.
  • List examples of the limits of classification.
  • Describe the implicit and explicit hierarchies that are created when gathering and analyzing data.
  • Distinguish between what counts as data and what does not.
  • Identify different data formats and how they fit into a research workflow.

Lesson 2: Digital Humanities Projects and Tools

  • List tools of data analysis that can be applied to text in any language, space, networks, images, and statistical analysis.
  • Evaluate existing digital platforms based on features that can be used for data analysis within different fields such as literature, history, art, and music.

Lesson 3: Acquiring, Cleaning, and Creating Data

  • Identify the differences between unstructured, semi-structured, and structured data.
  • Distinguish between different file types, their definitions, and applications.
  • Apply intellectual property rights to the downloading and sharing of data.
  • Practice different ways of downloading or creating data.

Lesson 4: The Command Line

  • Understand how command line functions work.
  • Apply command line functions to text files.
  • Create smaller text files from larger files using command line prompts.

Lesson 5: Working with Tools - Voyant

  • Create data from multiple text files using Voyant.
  • Compare data results across text files using visualizationin Voyant.

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