Undergraduate Courses

How to Find Electives:

  1. Review the master list of approved electives. Note: “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!

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 (linked above) for the full list of options.

Upper Division (minors must take DH 101 and 150, as well as three other upper-division electives): See the master list (linked above) for the full list of options.

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.

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

 

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.

Fall 2019

  • DH 101: Introduction to Digital Humanities

    Instructor: Ashley Sanders Garcia

    Tuesdays and Thursdays 10:00-10:50 lecture + 75 minute discussion sections on Fridays

    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 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. 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. This class meets twice a week for interactive lectures and once a week in smaller lab sections; additional group work outside of the allocated class time will be necessary. We will discuss ways to organize in-person meetings, as well as ways to stay on track through virtual simultaneous and asynchronous group work.

    No prior experience is necessary, and there are no prerequisites.

  • DH 150: Power and Authority on the Early American Frontier: Explorations with Text Analysis

    Instructor: Ashley Sanders Garcia

    Wednesday 9:00-11:50

    What did the Native American communities think, feel, and do in response to Euro-American settlement during and after the Revolutionary War? Who held power and of what kind in the late eighteenth century? How do we know? This course explores these questions and more using computational text analysis methods to understand the history and legacy of settler colonialism. In this course, you will learn how to structure data to prepare it for digital analysis using a variety of methods including word frequency, word distinctiveness, collocations, topic modeling, and comparative corpus linguistics. In addition, you will learn how to ask computationally tractable questions, detect bias, craft evidence-based arguments, and determine the limits of digital research methods. While this course applies these methods to historical research, the skills you will learn transfer to social media analysis, data journalism, marketing analysis, qualitative business analytics, and more.