Computational & Data Humanites
- EAS 307/CDH 307: Digitally Detecting the Strange: Crime, Ghosts, and Other Odd Things in Late Imperial ChinaThis class is an introduction to the unusual and strange in late imperial Chinese literature through digital analysis. We will focus on works that engage with the nature of evidence and reality: stories about crime and detection, ghosts, encounters with foxes, and other odd narratives. The stories we read, mostly written in the Ming (1368-1644) and Qing (1644-1911) dynasties, are found across a wide array of textual genres popular in early modern China. Students will also learn to leverage a variety of digital methods to analyze these stories, covering approaches from textual analysis and mapping to network analysis and the public humanities.
- EAS 407/CDH 407: Hacking Chinese Studies: An Introduction to Text Mining for Chinese Literature and CultureThis seminar is an introduction to leveraging the processing power of modern computers to study Chinese culture. This course will introduce you to a variety of newly developed digital tools, algorithms, and datasets that allow us to pursue new insights into traditional Chinese literature and culture. You will engage with new scholarship being published in the rapidly expanding field of the digital humanities and learn how to create digital research projects from scratch.
- NES 325/HUM 332/MED 325/CDH 325: Digital Humanities for Historians and Other ScholarsWhat are Digital Humanities? What does the library of the future look like? Will the single-author peer-reviewed article survive the DH storm that is coming? How will the DH impact the ways we do historical research? And what ethical and legal problems arise from the use of DH methods? In this course, we will familiarize ourselves and experiment with a variety of Digital Humanities tools, such as network analysis, geospatial mapping, text mining, and crowdsourcing, interrogating how the DH reshape the ways we approach textual and material culture, ask research questions, process data, publish, and store academic scholarship.