Culture and Art Analytics (515-0-1)

Instructors

Emoke-Agnes Horvat

Meeting Info

Frances Searle Building 3417: Wed 2:00PM - 4:50PM

Overview of class

Big data is currency for those initiated in the nuts and bolts of data science. Building on simple real-world examples and exercises that establish your data literacy, this course introduces key concepts and methods selected from recent interdisciplinary research on networks, social media, machine learning, the wisdom of crowds, and prediction markets. This class provides you with tools to apply this research to making predictions about the market for cultural goods like music, film, books and computer games. It explores factors that make prediction hard (e.g., social influence, ICTs, and the new digital economy) and gives you alternatives that use the potential of Big Data.

Registration Requirements

Registration priority is given to students in the MSLCE program. External students may enroll with program permission.

Class Materials (Required)

All readings are available online or on Canvas. There is no course packet or textbook for the class.