This short course introduces fourth year graduate students to Digital Humanities (DH) as an emerging methodology for literary study. Delivered as part of the second semester crash program of June 2026, the course is compressed into three intensive weeks. Students will learn how computational text analysis tools can complement and extend close reading by revealing patterns of word frequency, thematic distribution, and stylistic texture across a literary text at a scale that close reading alone cannot achieve. Given the accelerated format, students are expected to move quickly from introduction to independent application, with most of the work completed asynchronously via Moodle/ZOOM/Google Meet or o any other platform accessible to the students.
The course begins with a single live lecture introducing the field, its key concepts, and its relationship to traditional literary criticism. Students will then work independently and in groups to select a DH tool, apply it to a literary text obtained from Project Gutenberg, and present their findings.
Instructor: Professor David Toh Kusi (PhD)
This short course introduces fourth year graduate students to Digital Humanities (DH) as an emerging methodology for literary study. Delivered as part of the second semester crash program of June 2026, the course is compressed into three intensive weeks. Students will learn how computational text analysis tools can complement and extend close reading by revealing patterns of word frequency, thematic distribution, and stylistic texture across a literary text at a scale that close reading alone cannot achieve. Given the accelerated format, students are expected to move quickly from introduction to independent application, with most of the work completed asynchronously via Moodle/ZOOM/Google Meet or o any other platform accessible to the students.
The course begins with a single live lecture introducing the field, its key concepts, and its relationship to traditional literary criticism. Students will then work independently and in groups to select a DH tool, apply it to a literary text obtained from Project Gutenberg, and present their findings.
Instructor: Professor David Toh Kusi (PhD)