Courses

Core Courses

All core courses are offered in Session A (May 28 - July 5, 2019).

Required Core Course

DigHum 100 - Theory and Methods in the Digital Humanities

In this course, students explore the meaning of the digital humanities through critical readings and case studies.  In both, students assess the value of the new knowledge that is being generated in the field, and weigh that knowledge in terms of traditional humanities methods. This theory and methods course prepares students to apply digital methods in reflective and responsible ways, and to understand the potentials of the digital within the humanities.

Section 1: Adam Anderson, Session A, MTuWTh 10:00am-12:00pm, Class #14442

Required Core Course

DigHum101 - Practicing the Digital Humanities

In this applied course, you will learn foundational knowledge of cutting edge data science tools through hands-on work. By the end of this course, students will learn how to program Python in Jupyter Notebooks, and how to access archives and explore and visualize data for purposes of social network analysis, computational text analysis, and machine learning.

Section 2: Evan Muzzall, Session A, MTuWTh 1:00-3:00pm, Class #14449

Elective Courses

All elective courses are offered in Session D (July 8 - August 16, 2019).

Three electives are required for completion of the Minor or Certificate in Digital Humanities.

Elective Course

DigHum 150A - Digital Humanities and Archival Design

Archival Design can make rare sources accessible to a broad audience in ways that offer conceptual structure, critical analysis, and user flexibility. In this area, students learn to transform traditional primary sources into dynamic digital archives, receiving dual training in conducting scholarly research and designing digital projects.

Section 2: Immersive Digital Archives: Cultural Heritage and the Future of Digital Humanities 
Elizabeth Minor, Session D, MTuWTh 9:30-11:30am, Class #14450
Online archival resources for cultural heritage are at the forefront of developing public digital humanities. How can the past be captured in digital form? Can advanced media visualization, such as augmented and virtual Reality, give new insights on ancient data? Can public dissemination of research using gamification positively impact our lives in the present? How can we ensure that our digital cultural achievements last as long as pyramids built in stone?

This course will pair readings on the theory and practice of visual and public digital humanities cultural heritage projects. The digital archive resources used in class will be used to critique current offerings and trends in digital data capture and open access resources. The final project will be the creation of a new digital cultural heritage resource, presenting content created by students through a digital platform: augmented or virtual reality, location-based games, or a combination of both. Students will be offered a choice of visual and textual archival data from the UC Berkeley Hearst Museum of Anthropology, Museum of Fine Arts Boston, and the National Museum of Sudan, or can identify their own open-access archival source of interest.

 


Elective Course

DigHum 160 - Critical Digital Humanities

Critical Digital Humanities evaluates how information-age technologies influence and impact humanistic inquiry.  Digital capacities allow us to ask new questions, but they also shape how we organize and receive knowledge. Training a critical eye on the field allows us analyze the impact of the digital on the study of the humanities, and the culture at large.

Section 1: Digital Hermeneutics: Close, Distant, Machine Reading
Thomas Van Nuenen, Session D, MTuWTh 3:00-5:00pm, Class #14453
This course places the tradition of hermeneutics--the study of interpretation--in the context of contemporary, data-driven society. Based on a historical overview of hermeneutics, it asks: how can we critically assess the algorithmically driven and often controversial claims to knowledge to be found online, in which virality and controversiality are key operators? Using text analytics, we will analyze how knowledge is generated and negotiated on social platforms such as Reddit. In doing so, we will build skills in both natural language processing and close reading, in order to push back against problems of filter bubbles, post-truths, and alternative facts. 

 

 

Elective Course

DigHum 150C - Digital Humanities and Textual and Language Analysis

Textual and Language Analysis addresses a range of language use, spanning from the literary to the informal. Computational programs allow for humanistic inquiry and support critical analysis of texts. Students in this area learn to understand linguistics, genre, style, comparative analyses and literary interpretation through the digital.

Section 2: Introduction to Computational Literary Analysis 
Jonathan Reeve, Session D, MTuWTh 12:00-2:00pm, Class #14454
Computational literary analysis is the quantitative study of literature using computational tools. This course serves as an introduction, and presumes no background in computer science. We will learn techniques of text analysis such as stylometry, topic modeling, and word embeddings, using the Python programming language. Novels to be read and analyzed include Wilkie Collins's mystery novel The Moonstone, and two short story collections: James Joyce's Dubliners and Katherine Mansfield's The Garden Party and Other Stories.

Learn more about DigHum 150C