Self-guided introduction to the basics, such as securing web server space, preserving data, and improving your search techniques. It then moves forward to explore different methods used for analyzing data, designing digitally inflected teaching assignments, and creating the building blocks required for publishing digital work.
This course introduces participants to humanities programming through the use of Python for data acquisition, cleaning, and analysis. The course assumes no prior technical knowledge and will focus on accomplishing basic research tasks. Students should walk away feeling equipped to tackle a variety of typical problems that arise for digital humanists.
The DiRT Directory is a registry of digital research tools for scholarly use. DiRT makes it easy for digital humanists and others conducting digital research to find and compare resources ranging from content management systems to music OCR, statistical analysis packages to mindmapping software.