Undergraduate Courses

Requirements


Lower Division
(one required): Each of these classes introduces students to the use of digital tools and methodologies to examine complex cultural, social, and historical dynamics. Minors are strongly encouraged to take either INF STD 20 or 30. See the master list for the full list of options.

Upper Division: In addition to the Lower Division course, Minors need to take:

      1. DH 101
      2. One upper division course, DH 110 – 160, and
      3. Three other upper-division electives, which may be DH courses or courses from other disciplines. See the master list for the list of options from other disciplines.

Capstone:Minors must also take either DH 187 (capstone seminar) or DH 198/199 (small research group or independent study).

Course Codes:

    • DH 110: User Experience Design
    • DH 120: Social Media Data Analytics
    • DH 125: Data Analysis for Social and Cultural Research
    • DH 131: Digital Mapping and Critical Geographic Information Systems
    • DH 140: Programming for Humanists
    • DH M145: Text Analysis
    • DH 150/151: Special topics
    • DH 187: Capstone seminar

Course Petitions

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 per quarter. Please email Kerry Allen if you have additional questions.

How to register for a DH 199 course:

    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. Fill out a course contract on My UCLAEach online contract form is customized for a specific course number. Before filling out the form, the student should prepare a short description of the proposed course of study, nature of faculty supervision, and type of tangible evidence of work completed to be presented at the course conclusion. The form provides instructions for completion, printing, signatures, and further steps.
    4. Email the completed course contract to your 199 professor and our SAO, Kerry Allen, allen@humnet.ucla.edu.

That’s it! Your professor will confirm via email that they have approved your enrollment in their 199, and Kerry will finalize your registration.

Questions?

Contact our SAO, Kerry Allen at allen@humnet.ucla.edu
 

Winter 2023

  • DH 120: Social Media Data Analytics

    Instructor: Ashley Sanders

    Schedule: Tuesdays 3:00-5:50 in Haines A18 | Friday Lab in 2118 Rolfe Hall

    Social media data analytics, with focus on questions of power, privilege, identity, whose voices count and in what spaces, as well as how data science and digital humanities may be used to challenge power structures. Study of how social media has been used both to undermine and to support social justice and political change movements, ways in which social media data is currently used by corporate entities, and ethical data usage. Students learn digital research methods including quantitative and qualitative data analytics, statistics, as well as data visualization to examine social media data.

    Lecture, three hours; laboratory, one hour. Requisite: course 101 or consent of instructor. Letter grading.

    This course now has 120 seats. It is only offered every other year, so register now if you’re interested!

    View the Syllabus on Bruin Learn

  • DH 140: Coding for Humanities

    Instructor: Ben Winjum

    Schedule: Mondays 2:00 p.m.-5:00 p.m. in Rolfe 2118

    This course is a hands-on exploration of coding in Python with a specific eye towards how it can be used in the humanities.  In turn, we will also consider how humanities and a humanistic perspective can be used to inform the practice of coding.  Coding is both a technical skill and an art form.  It is a tool that can be used to explore and visualize many different types of data, analyze the flow of information and ideas, create novel forums and platforms for communication and expression, and produce products that can be used for tremendous benefit as well as tremendous harm.  We will learn how to speak grammatically correct Python, how to use libraries of Python code, and how to use Python to tell stories of our own. In the midst of this process, we’ll look at examples that include (but are not limited to) identifying patterns in literature, recommending new music to your friends, mapping urban inequities, and analyzing social networks.

  • DH 150, sec. 1: Digital Reconstructions on Broadway

    Instructor: Anthony Caldwell

    Schedule: Tuesdays 1:00 p.m.-4:00 p.m. in Rolfe 2118

    Introduction to 3D modeling techniques and use of augmented reality in field of cultural heritage conservation. Historic theaters in downtown Los Angeles are part of rich cultural legacy that offers insight into early 20th-century architectural practices. Investigation of how these monuments were constructed, decorated, and used through in-depth archival research, 3D modeling, and augmented reality (AR). Students identify topic of interest and produce 3D model, AR experience, and documentation detailing their research, procedures, and process.

  • DH 150, sec. 2: Whose Lives Count? Race, Gender and Data

    Instructor: Private: Munia Bhaumik

    Schedule: Thursdays 2:00 p.m.-5:00 p.m. in Rolfe 2118

    Increasingly, our daily lives are mediated by digital algorithms and data points. Data is constantly being gathered and codified every time a google search is performed, a purchase made on Amazon, or a census survey question answered. Data also plays a crucial role in political representation, governmental resource allocation, and policy decisions. Yet, severe gaps and biases appear in institutional data gathering processes and open datasets.

    Who are the counted? What do data variables and codes reveal about social inequality? This course will investigate how data does or does not ascribe a quantitative value to a human life. Specifically, we will probe how data analytics about race and gender are or are not being gathered to consider how racialized and gendered lives are “counted,” regulated, policed, and paid. By examining the intersecting variables of race and gender in datasets about health, wages, sexuality, indigeneity, migrations, and labor, students will learn to “read” datasets produced by governmental entities such as the U.S. Census, Bureau of Labor Statistics, United Nations, and Department of Health and Human Services. In addition, we will examine the writings of key feminist scholars, activists, and community organizations who explore and mobilize data for social justice.

    The course will be structed as an introduction to critical data studies and ethics; finding and analyzing data sets; and, finally, to models of data visualization, storytelling, and mapping. No prior knowledge of statistics or quantitative analysis is required.

  • DH 187: Capstone Seminar – (Re)Defining L.A

    Instructor: Wendy Perla Kurtz

    Schedule: Mondays 9:00 a.m.-12:00 p.m. in Rolfe 2118

    From its indigenous roots to the rise of LA as the second-largest metropolis in the United States, this capstone traces the city’s development with an eye to multicultural influences that have shaped the city. While evaluating new scholarly views of the city’s past that take into account issues of race, class, gender, and sexuality, we will also compare our own views of the historical and physical landscape. Grounding ourselves in reading, classroom discussion, film, and computational methodologies, we’ll start in the East and work our way West through a sampling of real-life explorations of LA neighborhoods. This capstone seminar asks students to trace the mutual cultural influences that have developed across space and place to form the imaginary of Los Angeles. For the capstone project, students will select a topic of their interest and work in groups to explore the places and spaces that have forged Los Angeles into a global, cultural capital. Through collaborative group work, students will analyze these themes using digital humanities methodologies (mapping, XR, social network analysis, building digital exhibits, etc.).