Graduate Courses

How to find electives:

  1. Review the master list of approved electivesNote: “Grad” denotes graduate courses, “LD” denotes lower division, and “UD” denotes upper division courses.
  2. Identify courses you’re interested in.
  3. Check the course schedule to see if the courses of interest are offered in the next quarter.
  4. Register!

Please fill out this form if you’d like to petition for an elective. Include all the information you can, including a syllabus, if available. Petitions will be reviewed at least once a quarter. Please email Kerry Allen if you have additional questions.

How to register for a capstone:

  1. Identify a capstone course (see below for upcoming courses).
  2. Contact the professor who is offering the course to express your interest and ask if they have room. If not, repeat step 1. If they do:
  3. Contact our SAO, Kerry Allen, at allen@humnet.ucla.edu  to create a DH 299 registration link for you.
  4. Enroll through MyUCLA!

Upcoming Courses

Please note that even though these courses are offered as undergraduate classes, graduate students are encouraged and welcome to register for them. We have also updated the course codes for a number of our frequently offered classes, as you’ll notice below. Any of the following classes, except DH 101, may be taken to fulfill the DH 250 requirement.

Summer 2021

DH 101: Introduction to Digital Humanities

Instructor: Ashley Sanders

Lectures: Tuesdays 10:00-11:15 on Zoom
Labs: Fridays on Zoom

This course will be offered on Canvas, rather than CCLE.

This course is an introduction to the Digital Humanities, its methods, theories, and applications in humanistic research. It covers a variety of digital tools and approaches to organize, explore, understand, present and tell stories with data. In this course, you will learn how to identify, use, and discuss the advantages and disadvantages of different tools and methodologies; develop strong humanistic research questions that can be answered through digital research methods; conduct original research; and build a collaborative digital project. You will also learn how to organize and clean data, develop charts, create maps, work with a content management system, and use basic text analysis tools to explore qualitative data. Often the best digital humanities projects are the result of collaboration, so you will learn how to work effectively and efficiently in teams as you build project management skills. Each unit will guide you through the development, analysis, and application of the skills listed under the course learning goals. In each unit, you will also critique examples of research projects that employ the methods and/or tools that you are learning.

DH 150: User Experience and Design

Instructor: Sookyung Cho

Meeting Time: Tuesday/Thursday 1:00pm-3:05pm via Zoom

Description: Seminar, three hours. Requisites: course 101. Introduction to fields of user experience (UX) research and interface design. Study covers UX design methods including ethnographic field research, persona-scenario development, user interface prototyping, and usability testing. Students learn, by hands-on practice in a human-centered design process, how to apply research in humanities to a functional prototype design that can shape the future with the enhanced value for human well-being.

Fall 2021

DH 101: Introduction to Digital Humanities

Instructor: Ashley Sanders

Lectures: Tuesdays 9:30-10:45 on Zoom
Labs: Fridays on Zoom

This course will be offered on Canvas, not CCLE.

DH 110: User Experience Design

Instructor: Sookyung Cho

Meeting Time: Tuesday/Thursday 8:00-9:15am PST
Location: 2118 Rolfe Hall

Description: Seminar, three hours. Requisites: course 101. Introduction to fields of user experience (UX) research and interface design. Study covers UX design methods including ethnographic field research, persona-scenario development, user interface prototyping, and usability testing. Students learn, by hands-on practice in a human-centered design process, how to apply research in humanities to a functional prototype design that can shape the future with the enhanced value for human well-being.

DH 125: Data Analysis for Social and Cultural Research

Instructor: Ashley Sanders

Meeting Times: Tuesday/Thursday 11:00am-12:15pm PST
Location:
 2118 Rolfe Hall

This is a learner-centered, project-based, introductory applied statistics course that exemplifies the principle of “data for good,” or putting Data Science and Digital Humanities to work for social justice efforts. Students will choose a data set that is personally meaningful and work with others who are interested in the same issue to generate evidence-based, statistically sound arguments, applying the methods learned throughout the course to their project in a guided, scaffolded, structured way. We will primarily use R Studio but will also produce visualizations in Tableau. The final product may be a website, infographic or data dashboard + white paper that could be used as a pitch to generate interest in and/or support for their chosen issue. This course is designed for students from any background, major, or minor, and its flipped structure ensures that students are not struggling through exercises isolated and alone but rather working in cooperative groups, troubleshooting questions and challenges both together and with an engaged instructor.

DH 131: Digital Mapping and Critical Geographic Information Systems

Instructor: Wendy Perla Kurtz

Meeting Times: Tuesday/Thursday 12:30-1:45pm PST
Location: 2118 Rolfe Hall

Digital mapping makes it possible to create rich stories of culturally, socially, and historically relevant materials on a cartographic interface, converting a purely geographic space into a place. Through project-based assignments, this class will trace the evolution of cartography from the earliest known maps to the rise of GIS applications. We will engage with fundamental mapping practices such as rectifying historical maps, working with open data through web mapping technologies, and creating place-based narratives in order to critique and create location-based visualizations. Students with little to no GIS experience will be exposed to the theories, concepts, and methods used for mapping projects in the humanities and social sciences. Students with a GIS background will have the opportunity to explore non-traditional uses of mapping systems.

DH 150: TBD

Instructor: TBD

Fall 2021

  • DH 199/299: Architectural Reconstructions on Broadway

    Instructor: Anthony Caldwell

    Schedule: Tuesdays 2:00-4:00p
    Location:
    TBD
    Co-Instructor: Joy Guey

    The historic theaters in Downtown Los Angeles are part of a rich cultural legacy that provides insight into the architectural practices of the early 20th century. This project investigates how these monuments were constructed, decorated, and used through in-depth archival research, photogrammetric modeling, and a variety of interactive visualizations including virtual and augmented reality platforms. Students will identify a topic of interest and work in groups to produce an experience and documentation detailing their research, procedures, and process.

    Required Skills: None, but interest in 3D modeling, VR/AR, GIS, and data visualizations

    Project Website

  • DH 199/299: Colonial Benchmarking: Employing High Performance Computing to Analyze French Discourse

    Instructor: Ashley Sanders

    Schedule: Class meets every other Wednesday @12:30-1:30pm PST
    Location: SIL or IDRE and/or Zoom

    In 1870, Governor General Patrice de MacMahon, sent a strident defense of the French colonial project in Algeria to be read before Parliament, favorably comparing French “progress” with that of the United States’ “Indian Policy.” This project examines how nineteenth-century French statesmen rhetorically employed the United States as a benchmark and pattern for Algeria using the Hoffman 2 high performance computing cluster at IDRE to summarize the corpus with topic modeling and interrogate details of the comparisons using word-to-vec methods.

    Required skills: Python, as well as an understanding of text analysis or willingness to learn.

    Recommended: Some familiarity with French would be helpful but is not required.

  • DH 199/299: DH Holocaust Research Lab

    Instructor: Todd S. Presner

    Required Skills: Data viz (Tableau & R), Javascript code libraries (D3), or front-end web development, or Python, or Javascript, and/or HTML5 and CSS.

    Recommended Skills: Experience with NLP or sound/voice analysis is a plus.