In this course, you will be exposed to a multidisciplinary domain that uses scientific methods, processes, algorithms, and systems to draw knowledge and insights from unstructured data. Students will explore the theoretical issues, methods, tools and problems that relate to data-rich issues in the humanities, social sciences, and sciences. Students will learn the core concepts of inference and computing, while working hands-on with real data including humanities data, social science data (ex. spatial data and social networks), and scientific data. We will examine how data analysis technologies can be used to improve decision-making within the liberal arts disciplines, as well as ethical implications.