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
    • DH 199: Capstone (independent study or small group)

DH 195 Internships

The DH Program does not have any DH 195 Internships approved for Spring Quarter 2023 and Summer 2023. If you are already working closely with a DH affiliated faculty member and have identified a possible internship together, then first consult with your faculty sponsor to see whether they would be willing to supervise your 195.

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, Deanna Finlay, deanna@humnet.ucla.edu.

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

Questions?

Contact our SAO, Deanna Finlay at deanna@humnet.ucla.edu

 

 

Fall 2023

  • Dgt Hum 101

    Instructor: Wendy Perla Kurtz

    Introduction to Digital Humanities

    Tues/Thurs, 11-12:15, Kinsey 1200B

    TA discussion sections: Fridays

    Increasingly, we access, share, and create information in digital forms. How does—or how should—that change the ways we produce scholarship? In this accelerated course, we will investigate the productive tension that results from combining computational methods with humanistic inquiry. This course is an introduction to the Digital Humanities, its theories, processes, and applications in the humanities and humanistic social sciences. 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 reverse engineer DH projects to understand how they were built; 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 spatial and network visualizations, work with a content management system, and use basic text analysis tools to explore qualitative data. The best digital humanities projects often result from 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.

    This course meets twice a week, synchronously, in person with the instructor in a whole class learning experience and once a week in smaller lab sections; additional group work outside the allocated class time will be necessary. We will discuss ways to organize collaborative work and ways to stay on track through virtual simultaneous and asynchronous group work. No prior experience is needed, and there are no prerequisites.

  • Dgt Hum 110

    Instructor: Sookyung Cho

    User Experience and Design

    Mon/Wed, 8-9:15, Rolfe 2118

    This course introduces the fields of UX research and design. It covers UX design methods and process, including ethnographic field research, persona-scenario development, information architecture, prototyping, and usability testing. Students will learn by hands-on practice in a human-centered process: how to understand users, how to design interface & interaction for users, and how to evaluate and communicate user experience design with users.

  • Dgt Hum 131

    Instructor: Ryan Horne

    Digital Mapping and Critical Geographic Information Systems

    Mon/Wed, 11 12-:15, Rolfe 2118

    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 geolocating structured data, georeferencing historical maps, working with open data through web mapping technologies, and building place-based narratives in order to critique and create location-based visualizations.

    By experimenting with a wide range of tools that employ a variety of data types (geographic, structured, and unstructured), students will learn the basics of mapping and geospatial information using GIS. Students will build skills necessary to enhance their spatial thinking and literacy. By learning to manipulate GIS software and generate basic spatial analysis, students will be able to apply spatial research methods to enhance their research in their own subject areas. Students will also learn best practices for planning, managing, and effectuating a collaborative web-based digital mapping project.

  • Dgt Hum 150, sem 1

    Instructor: Chris Johanson

    Network Visualization and Analysis: Funerals and Family Trees

    Tuesday, 12-2:50, Rolfe 2118

    Big data and family networks in the Roman world.  This course will explore the history of the Roman Republic through an analysis of the most complete database of ancient persons available.
    (http://romanrepublic.ac.uk/) We will simultaneously harness the affordances of this extant rdf database while we subvert the existing data model to make new and unexpected connections.  Students who take this course will have the opportunity to explore visualization techniques via Observable (based on a javascript library), the Google Visualization API, and SketchFab.  The course will, in part, focus generally on representational strategies for genealogical data. All those interested in family trees and family histories will be able to explore these avenues through a personalized final project. In addition, students interested in designing a graphical language and creating digital assets for data visualization
    projects are encouraged to enroll. This DH course is affiliated with the UCLA RomeLab working group. (romelab.etc.ucla.edu)

  • Dgt Hum 150, sem 2

    Instructor: Anthony Caldwell

    Digital Reconstructions on Broadway

    Thursday, 1-3:50, Rolfe 2118

    Introduction to 3D modeling techniques and use of augmented reality in field of cultural heritage conservation. Using 1919-62 S. Charles Lee Papers in YRL Special Collections as reference, students investigate how these monuments were constructed, decorated, and used through in-depth archival research, 3D modeling, and augmented reality (AR). Focus on two of most significant theaters in downtown Los Angeles’ historic Broadway Theater District.

  • Dgt Hum 199/299

    Instructor: Anthony Caldwell

    Digital Reconstructions on Broadway

    This course will introduce 3-D modeling techniques and the use of augmented reality in the field of cultural heritage conservation.

    The historic Theatres in Downtown Los Angeles are part of a rich cultural legacy that provides insight into the architectural practices of the early 20th century. This course will investigate how these monuments were constructed, decorated, and used through in-depth archival research, 3D modeling, and augmented reality (AR.) Students will identify a topic of interest and produce a 3D model, AR experience, and documentation detailing their research, procedures, and process.

    Recommended for students with interest in 3D modeling, VR/AR, GIS, and data visualizations.

  • Dgt Hum M121

    Instructor: Munia Bhaumik

    “Whose Lives Count?” Race, Gender and Data

    Wednesday, 2-4:50, 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.

    At the heart of this quarter, however, is not only reflecting upon the social effects of “Big Data” but also learning to apply and to use data towards justice. Questions of “data justice” and “data ethics” are in fact the thread uniting the readings, lectures, and assignments for this quarter. Moreover, we will be moving from considering historical examples of how race and gender figure in datasets, such as the U.S. Census, to probing what datasets reveal about contemporary urban spaces, including greater Los Angeles. Finally, the selection of readings for this quarter introduce you to the work of numerous scholars within the emerging fields of Critical Data Studies (CDS) and Critical Internet Studies (CIS) who are thinking of data in relation to race and gender today. Both CDS and CIS ask us to think critically about the detrimental social consequences of “Big Tech” but also the ethical potential of data-based technological applications. As a result, we will examine how algorithms, Artificial Intelligence (AI), data mapping, and machine learning are implicated in racialization, gender, and labor dynamics but also can be mobilized for justice.