Course Details

Course Name
MA in Digital Art History/Computational Media
Course Type
Master Programme
Institution
Duke University
Department
Art, Art History & Visual Studies
Information
https://gradschool.duke.edu/academics/programs-degrees/digital-art-historycomputational-media
Curriculum
http://www.dukewired.org/ma/
Status
record actively maintained
Course Language
English
Start Date
2019-08-20
recurring
ECTS
1
Lecturer
Professors Paul Jaskot and Victoria Szabo
PID
Disciplines: Archaeology, Arts and Cultural Studies, Computer Science, Gender Studies, History, Library Science and Information Science, Linguistics and Language Studies, Literary and Philological Studies, Media and Communication Studies, Other, Theory and Methodology of DH
Techniques: Brainstorming, Browsing, Cluster Analysis, Collocation Analysis, Commenting, Concordancing, Debugging, Distance Measures, Emulation, Encoding, Gamification, Georeferencing, Linked Open Data, Machine Learning, Mapping, Migration, Pattern Recognition, Photography, Replication, Scanning, Searching, Sentiment Analysis, Topic Modeling, Versioning, Web Crawling, Text Mining
Objects: Artifacts, BibliographicListings, Computers, Curricula, DigitalHumanities, Data, File, Images, Images(3D), Infrastructure, Manuscript, Map, Metadata, Multimedia, Multimodal, Persons, Projects, Research, ResearchProcess, ResearchResults, Software, Sound, Standards, Text, TextBearingObjects, Tools, Video, Visualization
Access Requirements
-
Description
The Department of Art, Art History and Visual Studies offers two types of degrees under the rubric of Digital Art History and Computational Media. The program builds on courses and well-developed strengths at Duke University, and requires ten (10) courses over three or four semesters in addition to summer research. Students affiliate with an existing faculty research initiative, from which they will develop their own independent research project for the MA thesis, which combines written and digital project-based components. The Digital Art History track engages digital technologies in the research and presentation of art historical questions. Common themes that can be explored are visualizing process, representing change over time, contextualizing displaced objects, and creating biographies of objects or databases/collections of materials. The ideal candidate for the Digital Art History track seeks to engage digital tools in historical questions about works of art, buildings and cities. The MA provides a springboard for advanced study in art history, archaeology, architectural history, and visual or media studies. It also prepares students for future work in fields such as museums education and exhibition design, cultural heritage and preservation, public history, city planning, and architectural design. For more information see http://dukewired.org/ma Funding may be available in the second and third semesters contingent on excellent work in the first semester of study. The Computational Media track emphasizes the study of visualization technologies in the context of media and technology histories, cultural analytics, and new media forms of expression. Computational Media topics include the manufacture and dissemination of humanities data and its expression, the social and ethical considerations of digital cultural heritage interventions, and the aesthetic and rhetorical value of computational media forms. The ideal candidate for the Computational Media track seeks deeper understanding of the intersection of quantitative and qualitative modes of historical and cultural research, is actively engaged with hands-on computational media production, and is interested in productive cross-overs between arts and sciences communities. This MA track prepares students for further graduate study in digital humanities and computational media and for training for jobs in media, design, advertising, and technical industries, among others. For more information see http://sites.duke.edu/computationalmedia The MA program encourages applicants from across the Humanities and Social Sciences whether from established disciplines, such as history, archaeology, and art history, or emerging fields of study, such as spatial history, media arts & sciences, technocultural studies, or cultural geography. See http://aahvs.duke.edu/graduate/MA-historical-cultural-visualization for more information.
Keywords
Disciplines: Archaeology, Arts and Cultural Studies, Computer Science, Gender Studies, History, Library Science and Information Science, Linguistics and Language Studies, Literary and Philological Studies, Media and Communication Studies, Other, Theory and Methodology of DH
Techniques: Brainstorming, Browsing, Cluster Analysis, Collocation Analysis, Commenting, Concordancing, Debugging, Distance Measures, Emulation, Encoding, Gamification, Georeferencing, Linked Open Data, Machine Learning, Mapping, Migration, Pattern Recognition, Photography, Replication, Scanning, Searching, Sentiment Analysis, Topic Modeling, Versioning, Web Crawling, Text Mining
Objects: Artifacts, BibliographicListings, Computers, Curricula, DigitalHumanities, Data, File, Images, Images(3D), Infrastructure, Manuscript, Map, Metadata, Multimedia, Multimodal, Persons, Projects, Research, ResearchProcess, ResearchResults, Software, Sound, Standards, Text, TextBearingObjects, Tools, Video, Visualization