{"id":19,"date":"2016-01-19T21:48:15","date_gmt":"2016-01-20T02:48:15","guid":{"rendered":"http:\/\/commons.trincoll.edu\/amst-data-driven\/?page_id=19"},"modified":"2017-01-19T13:31:44","modified_gmt":"2017-01-19T18:31:44","slug":"syllabus-2016","status":"publish","type":"page","link":"http:\/\/commons.trincoll.edu\/amst-data-driven\/syllabus-2016\/","title":{"rendered":"Syllabus 2016"},"content":{"rendered":"

Data Driven Cultures<\/h3>\n

Professor Jen Jack Gieseking\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0American Studies 311
\nTrinity College :: Spring 2016\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Room LIB02 :: M\/W 8.30-9.45
\nOffice Hours @ W 11:30- 2:30 & by appt<\/p>\n

 <\/p>\n

Big data and digital methods, such as changes in social media privacy laws and advances in mapping and network analysis, are changing financial markets, political campaigning, and higher education while becoming commonplace in our lives. Our daily existence is increasingly structured by code and data, from the algorithms that time our traffic lights to those that filter our search criteria and record our thoughts and ideas. In this course, we explore the possibilities, limitations, and implications of using digital methods and analytics to study issues that affect our everyday lives through a social scientific approach. We pay special attention to the ways we collect, trust, analyze, portray, and use data, most especially the tools and meanings involved in data visualization and modeling.<\/p>\n

This course tackles a number of cutting-edge issues and questions that confront society today: What sorts of questions can be asked and answered using digital and computational methods to rethink our relationships to data and what can data can show us about the world? How do we construct models to help us better understand social phenomena and associated data? What is <\/em>data, and how do we know it\u2019s reliable? How do these methods complement or challenge traditional methodologies in the humanities and social sciences? Students will learn how to apply a critical lens for understanding and evaluating what big data and digital tools, methods, and analytics can and cannot bring to the study of society. Students will gain an understanding of how to use and to continue to learn about different data visualization software in order to become educated about an issue and share that knowledge publicly.<\/p>\n

TEXTS<\/strong><\/p>\n

REQUIRED:<\/em><\/p>\n