Introduction to Digital Humanities
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.
- Fecha Incio:25/02/2020
- Idioma: Inglés
- Universidad: Harvard University
- Profesores: Peter K. Bol
- Certificado: No