• Clio 2: Computational History (spring 2018)

    Author(s):
    Lincoln Mullen (see profile)
    Date:
    2018
    Group(s):
    Digital Humanists
    Subject(s):
    History, Digital humanities, Methodology
    Item Type:
    Syllabus
    Tag(s):
    Digital history, Digital methods
    Permanent URL:
    http://dx.doi.org/10.17613/M68858
    Abstract:
    In this course you will learn to apply computational methods to create historical arguments. You will learn to work with historical data, including finding, gathering, manipulating, analyzing, visualizing, and arguing from data, with special attention to geospatial, textual, and network data. These methods will be taught primarily through scripting in the R programming language. While historical methods can be applied to many topics and time periods, they cannot be understood separate from how the discipline forms meaningful questions and interpretations, nor divorced from the particularities of the sources and histories of some specific topic. You will therefore work through a series of example problems using datasets from the history of the nineteenth-century U.S. religion, and you will apply these methods to a dataset in your own field of research.
    Notes:
    Spring semester 2018, Department of History and Art History, George Mason University.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    5 years ago
    License:
    Attribution
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