In the past decade, historians of art have increasingly turned to network analysis as a tool to investigate the production and reception of visual and material culture. Combining analytical readings with hands-on tutorials, this course introduces students to the conceptual and technical frameworks of network analysis as they apply to artifacts, works of art, and popular visual culture, as well as the people who made and experienced these images, objects, and monuments. Students will learn to model and analyze networks through the lens of art historical and material culture case studies. Topics may include social networks, geospatial networks, similarity networks, and dynamic networks. Case studies will range from arts of the Ancient Americas to manuscript workshops in Mughal India and Medieval France.
Max Enrollment: 25
Prerequisites: Fulfillment of the Quantitative Reasoning (QR) component of the Quantitative Reasoning & Data Literacy requirement. ARTH 100 recommended.
Distribution Requirements: ARS - Visual Arts, Music, Theater, Film and Video
Degree Requirements: DL - Data Literacy (Formerly QRF); DL - Data Literacy (Formerly QRDL)
Semesters Offered this Academic Year: Not Offered